subject:(Syndromic Surveillance)

University of Guelph

1. Stanley, Anu. Early Prediction of Seasonal Influenza using School Absenteeism.

Degree: MS, Department of Mathematics and Statistics, 2015, University of Guelph

URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8656

► Syndromic surveillance uses non-traditional health-related data to detect regularly occurring or emerging infectious disease outbreaks. A school absenteeism surveillance system was implemented by Wellington-Dufferin-Guelph Public… (more)

Subjects/Keywords: Influenza Surveillance; School Absenteeism; Syndromic Surveillance

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Stanley, A. (2015). Early Prediction of Seasonal Influenza using School Absenteeism. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8656

Chicago Manual of Style (16^th Edition):

Stanley, Anu. “Early Prediction of Seasonal Influenza using School Absenteeism.” 2015. Masters Thesis, University of Guelph. Accessed January 22, 2021. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8656.

MLA Handbook (7^th Edition):

Stanley, Anu. “Early Prediction of Seasonal Influenza using School Absenteeism.” 2015. Web. 22 Jan 2021.

Vancouver:

Stanley A. Early Prediction of Seasonal Influenza using School Absenteeism. [Internet] [Masters thesis]. University of Guelph; 2015. [cited 2021 Jan 22]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8656.

Council of Science Editors:

Stanley A. Early Prediction of Seasonal Influenza using School Absenteeism. [Masters Thesis]. University of Guelph; 2015. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8656

Georgia State University

2. Law, Kai Yee. Syndromic Surveillance using Poison Center Data: An Examination of Novel Approaches.

Degree: PhD, Public Health, 2016, Georgia State University

URL: https://scholarworks.gsu.edu/sph_diss/12

► Early detection of a new outbreak or new information about a public health issue could prevent morbidity and mortality and reduce healthcare expenditures for… (more)

Subjects/Keywords: Syndromic Surveillance; Public Health Surveillance; Poison Centers

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Law, K. Y. (2016). Syndromic Surveillance using Poison Center Data: An Examination of Novel Approaches. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/sph_diss/12

Chicago Manual of Style (16^th Edition):

Law, Kai Yee. “Syndromic Surveillance using Poison Center Data: An Examination of Novel Approaches.” 2016. Doctoral Dissertation, Georgia State University. Accessed January 22, 2021. https://scholarworks.gsu.edu/sph_diss/12.

MLA Handbook (7^th Edition):

Law, Kai Yee. “Syndromic Surveillance using Poison Center Data: An Examination of Novel Approaches.” 2016. Web. 22 Jan 2021.

Vancouver:

Law KY. Syndromic Surveillance using Poison Center Data: An Examination of Novel Approaches. [Internet] [Doctoral dissertation]. Georgia State University; 2016. [cited 2021 Jan 22]. Available from: https://scholarworks.gsu.edu/sph_diss/12.

Council of Science Editors:

Law KY. Syndromic Surveillance using Poison Center Data: An Examination of Novel Approaches. [Doctoral Dissertation]. Georgia State University; 2016. Available from: https://scholarworks.gsu.edu/sph_diss/12

University of Guelph

3. Alton, Gillian Denise. An Investigation of Epidemiological Approaches for Syndromic Surveillance of Cattle Health using Ontario Condemnation Data.

Degree: PhD, Department of Population Medicine, 2014, University of Guelph

URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8233

► This thesis is an investigation of quantitative methods for food animal syndromic surveillance utilizing bovine abattoir condemnation data as a case study to illustrate approaches… (more)

▼ This thesis is an investigation of quantitative methods for food animal syndromic surveillance utilizing bovine abattoir condemnation data as a case study to illustrate approaches to using Ontario provincial abattoir data. There has been little investigation into the suitability of bovine abattoir condemnation data in Ontario for its use in a food animal syndromic surveillance system and the quantitative methods necessary for this type of system. Overall, it was found bovine condemnation data from provincially inspected abattoirs to be useful for food animal syndromic surveillance since they provided a more regionally detailed picture of emerging diseases in Ontario than data from federal abattoirs. Disease-related and non-disease factors such as season and sales price were shown to have an impact on condemnation rates, and accounting for relevant predictable factors considerably affects the results of quantitative cluster detection methods. This was demonstrated by comparison of various space-time scan statistics with distinct options to control for covariate information. The results from this study found that model-adjusted approaches for controlling for covariates in scan statistics appeared to perform best in terms of ability to include all important covariates and suitability for use with bovine abattoir condemnation data. Furthermore, the efficiency of syndromic surveillance was investigated by comparing various sentinel abattoir selection approaches to reduce the number of sample sites while still maintaining the overall trends in the full dataset. The most effective sentinel selection approach utilized data from abattoirs in operation all weeks of the year, and this approach shows promise for the integration of sentinel sites into a sentinel syndromic surveillance system. While these findings suggest that bovine abattoir condemnation data would be suitable for integration into a food animal syndromic surveillance system, there are some limitations including data quality issues and current methodological approaches. Future research is recommended to focus on the following before formalizing a food animal syndromic surveillance system in Ontario: (i) developing an improved meat inspector training program; (ii) finding ways to harmonize the condemnation process by standardizing definitions for reasons for condemnation; and (iii) validating methodological findings from this thesis by studying simulated and/or documented historical outbreak data. Advisors/Committee Members: Berke, Olaf (advisor), Pearl, David (advisor).

Subjects/Keywords: syndromic surveillance; abattoir condemnations; cluster detection

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Alton, G. D. (2014). An Investigation of Epidemiological Approaches for Syndromic Surveillance of Cattle Health using Ontario Condemnation Data. (Doctoral Dissertation). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8233

Chicago Manual of Style (16^th Edition):

Alton, Gillian Denise. “An Investigation of Epidemiological Approaches for Syndromic Surveillance of Cattle Health using Ontario Condemnation Data.” 2014. Doctoral Dissertation, University of Guelph. Accessed January 22, 2021. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8233.

MLA Handbook (7^th Edition):

Alton, Gillian Denise. “An Investigation of Epidemiological Approaches for Syndromic Surveillance of Cattle Health using Ontario Condemnation Data.” 2014. Web. 22 Jan 2021.

Vancouver:

Alton GD. An Investigation of Epidemiological Approaches for Syndromic Surveillance of Cattle Health using Ontario Condemnation Data. [Internet] [Doctoral dissertation]. University of Guelph; 2014. [cited 2021 Jan 22]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8233.

Council of Science Editors:

Alton GD. An Investigation of Epidemiological Approaches for Syndromic Surveillance of Cattle Health using Ontario Condemnation Data. [Doctoral Dissertation]. University of Guelph; 2014. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8233

University of Newcastle

4. Paterson, Beverley Joyce. The application of syndromic surveillance to public health practice.

Degree: 2013, University of Newcastle

URL: http://hdl.handle.net/1959.13/1039416

►

Research Doctorate - Doctor of Philosophy

This Thesis by Publication is a series of eleven scientific papers and letters published in peer reviewed, professional journals… (more)

▼

Research Doctorate - Doctor of Philosophy

This Thesis by Publication is a series of eleven scientific papers and letters published in peer reviewed, professional journals which explore how syndromic surveillance has been applied to public health practice. At the time of submission, ten papers have been published in peer reviewed journals and one has been accepted for publication. Chapter One: ‘Overview’, introduces the topic of syndromic surveillance. The separate papers are placed within the context of what is known about syndromic surveillance and public health. Chapter Two: ‘Literature Review’, is a peer reviewed article ‘The remarkable adaptability of syndromic surveillance to meet public health needs’ that examines the literature to determine how syndromic surveillance has been used as a tool in public health practice and how it has been adapted by practitioners over time to meet changing public health information needs. This scientific publication was published in the Journal of Epidemiology and Global Health. Chapter Three: ‘Gathering the evidence: syndromic data utilisation’, includes four published papers and scientific letters that demonstrate how syndromic data sources can inform public health responses or provide additional information to help characterise a particular disease. The peer reviewed article ‘Historical data and modern methods reveal insights in measles epidemiology: a retrospective closed cohort study’ was published in the journal BMJ Open. The scientific letter ‘Influenza: H1N1 goes to school’ was published in in the journal Science. The scientific letter ‘Use of workplace absenteeism surveillance data for outbreak detection’ was published in the journal Emerging Infectious Diseases. The peer reviewed article ‘Changes in the severity of 2009 pandemic A/H1N1 influenza in England: a Bayesian evidence synthesis’ was published in the British Medical Journal. Chapter Four: ‘Implementing and evaluating the evidence: syndromic surveillance in practice’, is a series of three published papers and scientific letters that establish the value and effectiveness of developing a syndromic surveillance system for a specific purpose. The peer reviewed article ‘Pacific‐wide simplified syndromic surveillance for early warning of outbreaks’ was published in the journal Global Public Health. The peer reviewed article ‘Sustaining surveillance: evaluating syndromic surveillance in the Pacific’ was published in Global Public Health. The scientific letter ‘Pandemic response in low‐resource settings requires effective syndromic surveillance’ was published in the journal Influenza and other respiratory viruses. Chapter Five: ‘Presenting the evidence: changing public health policy’, includes two published papers and one published scientific letter which illustrate how syndromic surveillance can be used to inform public health policy. The peer reviewed article ‘A review of the epidemiology and surveillance of viral zoonotic encephalitis and the impact on human health in Australia’ has been published in the journal…

Advisors/Committee Members: University of Newcastle. Faculty of Health & Medicine, School of Medicine and Public Health.

Subjects/Keywords: epidemiology; surveillance; syndromic surveillance; emerging infectious diseases; thesis by publication

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Paterson, B. J. (2013). The application of syndromic surveillance to public health practice. (Thesis). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1039416

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Paterson, Beverley Joyce. “The application of syndromic surveillance to public health practice.” 2013. Thesis, University of Newcastle. Accessed January 22, 2021. http://hdl.handle.net/1959.13/1039416.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Paterson, Beverley Joyce. “The application of syndromic surveillance to public health practice.” 2013. Web. 22 Jan 2021.

Vancouver:

Paterson BJ. The application of syndromic surveillance to public health practice. [Internet] [Thesis]. University of Newcastle; 2013. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1959.13/1039416.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Paterson BJ. The application of syndromic surveillance to public health practice. [Thesis]. University of Newcastle; 2013. Available from: http://hdl.handle.net/1959.13/1039416

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

5. Pujol-Dupuy, Céline. Analyse et modélisation des données d’inspection en abattoir dans l’objectif de contribuer à la surveillance épidémiologique de la population bovine : Analysis and modeling of meat inspection data to contribute to surveillance of the cattle population.

Degree: Docteur es, Épidemiologie, 2014, Université Claude Bernard – Lyon I

URL: http://www.theses.fr/2014LYO10335

►

L'abattoir est un observatoire privilégié de la santé des bovins, permettant d'envisager une surveillance de la population bovine à partir des données d'inspection sanitaire qui… (more)

▼

L'abattoir est un observatoire privilégié de la santé des bovins, permettant d'envisager une surveillance de la population bovine à partir des données d'inspection sanitaire qui y sont collectées. Mais la valorisation épidémiologique de ces données fait face à des difficultés (complexité des données, nombreux mouvements des bovins de leur naissance à l'abattoir). Afin de gérer cette complexité, une approche statistique (analyse multifactorielle et classification mixte) associée à des avis d'experts ont permis d'établir une typologie des lésions observées à l'abattoir. Une dizaine de groupes lésionnels ont été identifiés qui relèvent de divers domaines tels que la santé animale, la protection animale ou la santé publique. Les données d'abattoir peuvent être utilisées pour la surveillance de maladies ciblées telles que la cysticercose bovine. Des indicateurs de surveillance robustes ont été élaborés pour permettre la comparaison des prévalences de cette zoonose dans le temps et l'espace. Une méthode innovante de prise en compte de l'incertitude liée au lieu d'infestation des animaux a été mise en oeuvre pour identifier les zones à risque plus élevé d'infestation. Un tel outil sera mobilisable pour la mise en oeuvre ultérieure d'une inspection basée sur le risque visant à améliorer l'efficience de l'inspection en abattoir. L'utilisation des données d'abattoir pour la mise en place d'un dispositif de surveillance syndromique a par ailleurs été investiguée par modélisation de la proportion hebdomadaire de bovins ayant fait l'objet d'une saisie totale. Une évaluation des performances de plusieurs algorithmes de détection d'anomalies temporelles a été menée sur données simulées

The slaughterhouse is a unique dedicated vantage point from which to observe bovine health, making it possible to consider implementation of bovine surveillance based on meat inspection data. But the exploitation of these data for epidemiological purposes is not without difficulties (data complexity, large number of cattle movements from birth to slaughter). In order to deal with the data complexity issue, a statistical approach (multiple factor analysis in combination with clustering methods), in addition to the gathering of expert opinions, enables us to create a typology of the lesions detected at the slaughterhouse. Approximately ten lesion groups were identified which cover various areas including animal heath, animal welfare and public health. Meat inspection data can be used for the surveillance of targeted diseases such as bovine cysticercosis. Robust surveillance indicators have been created to enable prevalence comparisons of this zoonosis over time and space. An innovative approach that takes into account uncertainty regarding the location where the animal became infected was implemented to identify areas of higher risk of infection. A similar method could be used for the implementation of a future risk-based meat inspection initiative so as to improve meat inspection efficiency. The use of meat inspection data for the implementation of…

Advisors/Committee Members: Calavas, Didier (thesis director), Ducrot, Christian (thesis director).

Subjects/Keywords: Abattoir; Bovins; Surveillance syndromique; Cysticercose; Slaughterhouse; Bovine; Syndromic surveillance; Cysticercosis; 614

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Pujol-Dupuy, C. (2014). Analyse et modélisation des données d’inspection en abattoir dans l’objectif de contribuer à la surveillance épidémiologique de la population bovine : Analysis and modeling of meat inspection data to contribute to surveillance of the cattle population. (Doctoral Dissertation). Université Claude Bernard – Lyon I. Retrieved from http://www.theses.fr/2014LYO10335

Chicago Manual of Style (16^th Edition):

Pujol-Dupuy, Céline. “Analyse et modélisation des données d’inspection en abattoir dans l’objectif de contribuer à la surveillance épidémiologique de la population bovine : Analysis and modeling of meat inspection data to contribute to surveillance of the cattle population.” 2014. Doctoral Dissertation, Université Claude Bernard – Lyon I. Accessed January 22, 2021. http://www.theses.fr/2014LYO10335.

MLA Handbook (7^th Edition):

Pujol-Dupuy, Céline. “Analyse et modélisation des données d’inspection en abattoir dans l’objectif de contribuer à la surveillance épidémiologique de la population bovine : Analysis and modeling of meat inspection data to contribute to surveillance of the cattle population.” 2014. Web. 22 Jan 2021.

Vancouver:

Pujol-Dupuy C. Analyse et modélisation des données d’inspection en abattoir dans l’objectif de contribuer à la surveillance épidémiologique de la population bovine : Analysis and modeling of meat inspection data to contribute to surveillance of the cattle population. [Internet] [Doctoral dissertation]. Université Claude Bernard – Lyon I; 2014. [cited 2021 Jan 22]. Available from: http://www.theses.fr/2014LYO10335.

Council of Science Editors:

Pujol-Dupuy C. Analyse et modélisation des données d’inspection en abattoir dans l’objectif de contribuer à la surveillance épidémiologique de la population bovine : Analysis and modeling of meat inspection data to contribute to surveillance of the cattle population. [Doctoral Dissertation]. Université Claude Bernard – Lyon I; 2014. Available from: http://www.theses.fr/2014LYO10335

University of Guelph

6. Hughes, Stephanie Lesia. Augmenting surveillance to minimize the burden of norovirus-like illness in Ontario: using telehealth data to detect the onset of community activity.

Degree: PhD, Department of Population Medicine, 2018, University of Guelph

URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/12991

► This thesis sets out to describe the essential elements required in the creation of a syndromic surveillance system for human infectious disease. Using this information,… (more)

▼ This thesis sets out to describe the essential elements required in the creation of a syndromic surveillance system for human infectious disease. Using this information, this thesis also presents a novel early warning syndromic surveillance system for the winter norovirus season in the province of Ontario, Canada. Telehealth data were utilized as the source of syndromic data alongside laboratory data to confirm the onset of the winter norovirus season. Syndromic methods were selected for this novel surveillance system because they can predict disease outbreaks earlier than laboratory and other traditional surveillance methods and cover a wider scope of the population. Norovirus outbreaks benefit from such methods due to the increased coverage of disease in communities, which often go unreported. A scoping review was performed to describe the current state of research of the creation of syndromic surveillance systems for human infectious disease. A narrative synthesis built upon the scoping review to describe in detail all of the essential elements required in the creation of a syndromic surveillance system for human infectious disease. Descriptive analyses were performed on three sources of Ontario norovirus data spanning 2009 to 2014: positive samples submitted for laboratory testing, institutional outbreaks, and calls to telehealth with vomiting as a chief complaint. However, it is important to note that the calls to telehealth (syndromic data source) were only used as a proxy for norovirus. The gender and age distribution, institutions most commonly affected, total outbreak counts, total positive sample counts, and seasonality of norovirus were determined. Using this information to define the winter norovirus season and out-of-season periods, Shewhart (control) chart methods were employed to create the early warning syndromic surveillance system using the telehealth data as the source of syndromic data. These data were shown to predict the laboratory results by two weeks, and annual early alarm thresholds for the winter norovirus season were devised. This thesis demonstrates the unique role of telehealth syndromic surveillance for norovirus in Ontario. Although these methods are widely used in other countries, they are not used in Ontario at the present time. The results from this study serve as a proposal for implementation and utilization in Ontario public health. In doing so, this syndromic surveillance system could strengthen current surveillance methods and help determine the true burden of norovirus in Ontario. Advisors/Committee Members: Papadopoulos, Andrew (advisor).

Subjects/Keywords: Syndromic surveillance; Norovirus; Surveillance; Scoping review; Early warning system

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Hughes, S. L. (2018). Augmenting surveillance to minimize the burden of norovirus-like illness in Ontario: using telehealth data to detect the onset of community activity. (Doctoral Dissertation). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/12991

Chicago Manual of Style (16^th Edition):

Hughes, Stephanie Lesia. “Augmenting surveillance to minimize the burden of norovirus-like illness in Ontario: using telehealth data to detect the onset of community activity.” 2018. Doctoral Dissertation, University of Guelph. Accessed January 22, 2021. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/12991.

MLA Handbook (7^th Edition):

Hughes, Stephanie Lesia. “Augmenting surveillance to minimize the burden of norovirus-like illness in Ontario: using telehealth data to detect the onset of community activity.” 2018. Web. 22 Jan 2021.

Vancouver:

Hughes SL. Augmenting surveillance to minimize the burden of norovirus-like illness in Ontario: using telehealth data to detect the onset of community activity. [Internet] [Doctoral dissertation]. University of Guelph; 2018. [cited 2021 Jan 22]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/12991.

Council of Science Editors:

Hughes SL. Augmenting surveillance to minimize the burden of norovirus-like illness in Ontario: using telehealth data to detect the onset of community activity. [Doctoral Dissertation]. University of Guelph; 2018. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/12991

7. Sir Ondo Enguier, Pater Noster. Mise en place d'un système de surveillance syndromique des maladies infectieuses à potentiel épidémique au Gabon : Implementation of a syndromic surveillance system for infectious diseases potential epidemic in Gabon.

Degree: Docteur es, Pathologie humaine. Recherche clinique et santé publique, 2018, Aix Marseille Université

URL: http://www.theses.fr/2018AIXM0267

►

Les maladies infectieuses demeurent l'une des causes majeures de décès dans le monde. Au Gabon, on estime que plus de la moitié des données disponibles… (more)

▼

Les maladies infectieuses demeurent l'une des causes majeures de décès dans le monde. Au Gabon, on estime que plus de la moitié des données disponibles ne sont pas collectées, et que plus de la moitié des données potentiellement collectées ne sont pas transmises au niveau central expliquant ainsi la lenteur à la réactivité du système de santé. Un réseau de surveillance syndromique des maladies infectieuses à potentiel épidémique (SuSyMIPE) a pu être mis en place dans quatre sites (Gamba, Koulamoutou, Libreville et Oyem) sentinelles. Pour chaque syndrome, un groupe de maladies était évoqué. Les notifications journalières de cas codifiées par "Short Message Service" (SMS) étaient transmis en fin d'après-midi. De janvier et octobre 2016, 5348 cas suspects des syndromes surveillés ont été enregistré, 28,1% (n = 1502) de Koulamoutou 24,5% (n = 1310) de Libreville, 24% (n = 1284) Gamba et 23,4% (n = 1252) d' Oyem. 71,3% (n = 3816) des cas étaient des fièvres, 19,7% (n = 1053) des syndromes respiratoires et les cas des syndromes diarrhéiques représentaient 9% (n = 479). Ce réseau nous a permis de détecter assez précocement l'épidémie de rougeole dans deux chefs-lieux de provinces (Libreville et Oyem) en 2016. Au total, entre les semaines 13 et 19, 79 cas suspects ont été notifiés, principalement 82,3% (n = 65) à Oyem et 17,7% (n = 14) à Libreville. Le sex-ratio M / F était de 0,88 (37/42), et l'âge moyen était de 49,37 ± 72.82 mois. Cependant, 53,3% (n = 16/30) seulement ont été confirmés pour la rougeole. La mise en place de ce système de surveillance syndromique nous a permis de répondre de manière plus rapide et plus efficiente aux épisodes de rougeole qui se sont manifestés.

Infectious diseases remain one of the leading causes of death in the world. In Gabon, it is estimated that more than half of the available data are not collected, and that more than half of the potentially collected data are not transmitted centrally, thus explaining the slowness of the responsiveness of the health system. A syndromic surveillance network for infectious diseases with epidemic potential (SuSyMIPE) has been set up in four sites (Gamba, Koulamoutou, Libreville and Oyem) sentinels. For each syndrome, a group of diseases was mentioned. The daily notifications of cases coded by "Short Message Service" (SMS) were transmitted at the end of the afternoon. From January to October 2016, 5348 cases of suspected syndromes were recorded, 28.1% (n = 1502) of Koulamoutou 24.5% (n = 1310) of Libreville, 24% (n = 1284) Gamba and 23, 4% (n = 1252) from Oyem. 71.3% (n = 3816) of the cases were fevers, 19.7% (n = 1053) of the respiratory syndromes and the cases of diarrheal syndromes accounted for 9% (n = 479). This network enabled us to detect the measles epidemic early in two provincial capitals (Libreville and Oyem) in 2016. In total, between weeks 13 and 19, 79 suspected cases were reported, mainly 82.3. % (n = 65) in Oyem and 17.7% (n = 14) in Libreville. The sex ratio M / F was 0.88 (37/42), and the mean age was 49.37 ± 72.82 months. However,…

Advisors/Committee Members: Deparis, Xavier (thesis director), Lekana-Douki, Jean-Bernard (thesis director).

Subjects/Keywords: Réseau; Surveillance syndromique; Maladies infectieuses; Développement; Gabon.; Network; Syndromic surveillance; Infectious diseases; Development; Gabon.

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sir Ondo Enguier, P. N. (2018). Mise en place d'un système de surveillance syndromique des maladies infectieuses à potentiel épidémique au Gabon : Implementation of a syndromic surveillance system for infectious diseases potential epidemic in Gabon. (Doctoral Dissertation). Aix Marseille Université. Retrieved from http://www.theses.fr/2018AIXM0267

Chicago Manual of Style (16^th Edition):

Sir Ondo Enguier, Pater Noster. “Mise en place d'un système de surveillance syndromique des maladies infectieuses à potentiel épidémique au Gabon : Implementation of a syndromic surveillance system for infectious diseases potential epidemic in Gabon.” 2018. Doctoral Dissertation, Aix Marseille Université. Accessed January 22, 2021. http://www.theses.fr/2018AIXM0267.

MLA Handbook (7^th Edition):

Sir Ondo Enguier, Pater Noster. “Mise en place d'un système de surveillance syndromique des maladies infectieuses à potentiel épidémique au Gabon : Implementation of a syndromic surveillance system for infectious diseases potential epidemic in Gabon.” 2018. Web. 22 Jan 2021.

Vancouver:

Sir Ondo Enguier PN. Mise en place d'un système de surveillance syndromique des maladies infectieuses à potentiel épidémique au Gabon : Implementation of a syndromic surveillance system for infectious diseases potential epidemic in Gabon. [Internet] [Doctoral dissertation]. Aix Marseille Université 2018. [cited 2021 Jan 22]. Available from: http://www.theses.fr/2018AIXM0267.

Council of Science Editors:

Sir Ondo Enguier PN. Mise en place d'un système de surveillance syndromique des maladies infectieuses à potentiel épidémique au Gabon : Implementation of a syndromic surveillance system for infectious diseases potential epidemic in Gabon. [Doctoral Dissertation]. Aix Marseille Université 2018. Available from: http://www.theses.fr/2018AIXM0267

Universiteit Utrecht

8. Cooper, D. L. Surveillance for Health Protection in England and Wales: An analysis of NHS Direct syndromic data.

Degree: 2008, Universiteit Utrecht

URL: http://dspace.library.uu.nl:8080/handle/1874/30521

► Disease surveillance is the collection and analysis health data to provide information for action and to inform decisions relating to public health policy. Surveillance systems… (more)

▼ Disease surveillance is the collection and analysis health data to provide information for action and to inform decisions relating to public health policy. Surveillance systems in the UK typically rely on data about diagnoses made by clinicians, or laboratory confirmations of specific disease pathogens. In recent years there has been a growth in syndromic surveillance systems that collect and analyse pre-diagnostic information in real-time in order to provide early warning of rises in disease, and estimate the health status of the community. The research question of this thesis is: “What is contribution of NHS Direct data to health protection surveillance in England and Wales?” NHS Direct is a nurse-led health helpline (telehealth system) available to the entire population of England and Wales. Health protection surveillance is the surveillance of infectious diseases and environmental hazards that may pose a threat to public health. NHS Direct data are suitable for surveillance purposes because they are broadly representative of the health seeking behaviour of those aged below 65 years in England and Wales, and are available nationally on a daily basis. The seasonality of syndromes indicative of infection is largely determined by viral rather than bacterial diseases. Half the seasonal variation in respiratory syndromes reported to NHS Direct is estimated to be due to RSV and influenza. Rotavirus and norovirus are estimated to be the most important enteric pathogens determining the seasonality of diarrhoea and vomiting calls. The surveillance system has detected seasonal trends and acute rises in these syndromes at both regional and national level. However, retrospective analyses and operational results have not, in any consistent way, demonstrated value for local outbreak detection. The main added value of these data for health protection is for influenza surveillance. Numerical threshold values for calls about the ‘cold/flu’ and fever syndromes consistently provide 1-2 weeks advance warning of national rises in influenza A and B. Spatio-temporal analysis of fever calls about school aged children also provided a unique description of the spatial evolution of a national influenza outbreak, with utility for local and national surveillance. Additionally, self-sampling by NHS Direct callers is a feasible method of providing laboratory diagnoses, and enhancing community surveillance schemes. NHS Direct syndromic data have also been used for providing early warning of regional and national rises in viral gastroenteritis, heatstroke, hay fever. When interviewed, the system’s users (those who receive surveillance alerts) reported additional benefits of the system were for validating other hard and soft intelligence sources, managing winter pressures on the NHS, surveillance response and reassurance during major incidents, and handling the media. It is recommended that the HPA explore further the use of the data for prospective geographical surveillance of influenza, norovirus and heatstroke. Also that the HPA and NHS Direct… Advisors/Committee Members: Groenewegen, P.P., Zee, J, Smith, G.E..

Subjects/Keywords: Sociale Geografie & Planologie; surveillance; syndromic; real-time; telehealth; influenza; public health; health protection; gastroenteritis

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Cooper, D. L. (2008). Surveillance for Health Protection in England and Wales: An analysis of NHS Direct syndromic data. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/30521

Chicago Manual of Style (16^th Edition):

Cooper, D L. “Surveillance for Health Protection in England and Wales: An analysis of NHS Direct syndromic data.” 2008. Doctoral Dissertation, Universiteit Utrecht. Accessed January 22, 2021. http://dspace.library.uu.nl:8080/handle/1874/30521.

MLA Handbook (7^th Edition):

Cooper, D L. “Surveillance for Health Protection in England and Wales: An analysis of NHS Direct syndromic data.” 2008. Web. 22 Jan 2021.

Vancouver:

Cooper DL. Surveillance for Health Protection in England and Wales: An analysis of NHS Direct syndromic data. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2008. [cited 2021 Jan 22]. Available from: http://dspace.library.uu.nl:8080/handle/1874/30521.

Council of Science Editors:

Cooper DL. Surveillance for Health Protection in England and Wales: An analysis of NHS Direct syndromic data. [Doctoral Dissertation]. Universiteit Utrecht; 2008. Available from: http://dspace.library.uu.nl:8080/handle/1874/30521

Colorado State University

9. Ruple-Czerniak, Audrey. Nosocomial infection rates in veterinary referral hospitals: using syndromic surveillance to establish baseline rates.

Degree: MS(M.S.), Clinical Sciences, 2011, Colorado State University

URL: http://hdl.handle.net/10217/70824

► Nosocomial, or hospital-acquired, infections are considered to be the most common complication affecting hospitalized human patients, but their impact on hospitalized veterinary patients is less… (more)

▼ Nosocomial, or hospital-acquired, infections are considered to be the most common complication affecting hospitalized human patients, but their impact on hospitalized veterinary patients is less well understood. In fact, the incidence of nosocomial infections that occur in veterinary hospitals has not been established. There is evidence, however, that nosocomial infections are of great consequence in veterinary medicine and can have considerable negative effects on the individual patient as well as on the veterinary hospital as a whole. Due to the increased risk of infection in hospitalized patients, it is anticipated that some nosocomial infections will occur. Establishing a baseline rate of infection using surveillance techniques will allow investigators to ascertain the proportion of infections that can be prevented using infection control measures. The purpose of this study was to establish baseline rates of infection using a syndromic surveillance system created for implementation in small animal and equine referral hospitals. This study included weaned dogs, cats, and horses (n=2248) that were hospitalized in the critical care unit of one of five participating veterinary hospitals during a 12 week period in 2006. Clinicians actively performed syndromic surveillance on hospitalized patients and reported their results no later than the time of the patient’s discharge from the hospital. Adjusted rates of nosocomial events were estimated using Poisson regression, and risk factors associated with an increased risk of developing a nosocomial event were analyzed using multivariable logistic regression. Adjusting for hospital of admission, 19.7% of horses, 16.3% of dogs, and 12% of cats included in this study were reported to have experienced a nosocomial event occur during hospitalization. The only risk factor found to have a positive association with the development of a nosocomial event in all three species was placement of a urinary catheter. Surgical site inflammation and intravenous catheter site inflammation were two of the most commonly reported events across all species. Results of this study suggest that nosocomial event rates can be established using syndromic surveillance systems in multiple hospitals. Data pertinent to risk factors for the occurrence of nosocomial events can also be effectively collected using the same technique. Further research is warranted in order to evaluate how generalizable these results are to other veterinary healthcare settings. Advisors/Committee Members: Morley, Paul S. (advisor), Lunn, Katharine F. (committee member), Peel, Jennifer L. (committee member), Van Metre, David C. (committee member).

Subjects/Keywords: hospital-associated infection; nosocomial infection; nosocomial infection rates; risk factor; syndromic surveillance; veterinary

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ruple-Czerniak, A. (2011). Nosocomial infection rates in veterinary referral hospitals: using syndromic surveillance to establish baseline rates. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/70824

Chicago Manual of Style (16^th Edition):

Ruple-Czerniak, Audrey. “Nosocomial infection rates in veterinary referral hospitals: using syndromic surveillance to establish baseline rates.” 2011. Masters Thesis, Colorado State University. Accessed January 22, 2021. http://hdl.handle.net/10217/70824.

MLA Handbook (7^th Edition):

Ruple-Czerniak, Audrey. “Nosocomial infection rates in veterinary referral hospitals: using syndromic surveillance to establish baseline rates.” 2011. Web. 22 Jan 2021.

Vancouver:

Ruple-Czerniak A. Nosocomial infection rates in veterinary referral hospitals: using syndromic surveillance to establish baseline rates. [Internet] [Masters thesis]. Colorado State University; 2011. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10217/70824.

Council of Science Editors:

Ruple-Czerniak A. Nosocomial infection rates in veterinary referral hospitals: using syndromic surveillance to establish baseline rates. [Masters Thesis]. Colorado State University; 2011. Available from: http://hdl.handle.net/10217/70824

University of South Carolina

10. Dhotre, Himal. The Development and Evaluation of Toxic Syndromes and the Assessment of an Integrated Approach to Syndromic Surveillance with the Palmetto Poison Center.

Degree: PhD, Epidemiology and Biostatistics, 2011, University of South Carolina

URL: https://scholarcommons.sc.edu/etd/1157

► Introduction: Working together with SC DHEC and PPC, this study created and evaluated a technique for developing new syndrome categories from poison control center… (more)

▼ Introduction: Working together with SC DHEC and PPC, this study created and evaluated a technique for developing new syndrome categories from poison control center data, ability to detect outbreaks, and tested the reliability of the PPC call codings. Methods: Clinical effects and the case notes fields were utilized. The clinical effects variable contains a one-word symptom category classified by the PPC staff. Three clinical effects were of evaluated: respiratory, GI, and dermal. Six new syndrome variables, one general (GNS) and one specific (SNS), were created for each of three syndromes by scanning the case notes field for key terms. Poisson regression was used to test whether the number of CUSUM alerts detected by each variable were significantly different. The signal-to-noise ratio (SNR - testing seasonality) was computed for each variable. Aberration and outbreak sensitivity and specificity tests were conducted for data capture variables. Questionnaires were administered to eligible PPC specialists (74% of staff) to test the reliability call codings. Kappa statistics and linear regression models were calculated to evaluate significance in agreements. Results: GNS and SNS variables captured more calls in respiratory syndrome missed by the clinical effects variable. A significant reduction in C123 alerts were detected by the GNS and SNS variables compared to clinical effect variable (GNS p-value: 0.0334, SNS p-value: 0.0079). The GNS variable in respiratory syndrome had most ideal sensitivity (67%) and specificity (52%) of the three variables and syndromes. Several potential clusters were detected using the PPC variables missed by SC DHEC. For intra-rater reliability, the majority (83%) of the PPC specialists had moderate to substantial agreement (kappa values range: 0.41 - 0.80). Conclusion: Best practice would be to use both the clinical effects and case notes fields of PPC data. The new variables (GNS and SNS) displayed the flexibility of syndromic surveillance systems to adapt to new public health concerns. The PPC specialists reliability was mostly moderate to substantial which illustrated a high agreement in coding calls, although still room for improvement. This study strengthens the role of poison control centers in public health to aid in identifying potential outbreaks missed by the health departments. Advisors/Committee Members: Jim Burch.

Subjects/Keywords: Epidemiology; Medicine and Health Sciences; Public Health; Poison Control Center; Syndromic Surveillance

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Dhotre, H. (2011). The Development and Evaluation of Toxic Syndromes and the Assessment of an Integrated Approach to Syndromic Surveillance with the Palmetto Poison Center. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/1157

Chicago Manual of Style (16^th Edition):

Dhotre, Himal. “The Development and Evaluation of Toxic Syndromes and the Assessment of an Integrated Approach to Syndromic Surveillance with the Palmetto Poison Center.” 2011. Doctoral Dissertation, University of South Carolina. Accessed January 22, 2021. https://scholarcommons.sc.edu/etd/1157.

MLA Handbook (7^th Edition):

Dhotre, Himal. “The Development and Evaluation of Toxic Syndromes and the Assessment of an Integrated Approach to Syndromic Surveillance with the Palmetto Poison Center.” 2011. Web. 22 Jan 2021.

Vancouver:

Dhotre H. The Development and Evaluation of Toxic Syndromes and the Assessment of an Integrated Approach to Syndromic Surveillance with the Palmetto Poison Center. [Internet] [Doctoral dissertation]. University of South Carolina; 2011. [cited 2021 Jan 22]. Available from: https://scholarcommons.sc.edu/etd/1157.

Council of Science Editors:

Dhotre H. The Development and Evaluation of Toxic Syndromes and the Assessment of an Integrated Approach to Syndromic Surveillance with the Palmetto Poison Center. [Doctoral Dissertation]. University of South Carolina; 2011. Available from: https://scholarcommons.sc.edu/etd/1157

University of Sydney

11. Shephard, Richard William. The development of a syndromic surveillance system for the extensive beef cattle producing regions of Australia .

Degree: 2006, University of Sydney

URL: http://hdl.handle.net/2123/2210

► All surveillance systems are based on an effective general surveillance system because this is the system that detects emerging diseases and the re-introduction of disease… (more)

▼ All surveillance systems are based on an effective general surveillance system because this is the system that detects emerging diseases and the re-introduction of disease to a previously disease free area. General surveillance requires comprehensive coverage of the population through an extensive network of relationships between animal producers and observers and surveillance system officers. This system is under increasing threat in Australia (and many other countries) due to the increased biomass, animal movements, rate of disease emergence, and the decline in resource allocation for surveillance activities. The Australian surveillance system is state-based and has a complex management structure that includes State and Commonwealth government representatives, industry stakeholders (such as producer bodies) and private organisations. A developing problem is the decline in the effectiveness of the general surveillance system in the extensive (remote) cattle producing regions of northern Australia. The complex organisational structure of surveillance in Australia contributes to this, and is complicated by the incomplete capture of data (as demonstrated by slow uptake of electronic individual animal identification systems), poorly developed and integrated national animal health information systems, and declining funding streams for field and laboratory personnel and infrastructure. Of major concern is the reduction in contact between animal observers and surveillance personnel arising from the decline in resource allocation for surveillance. Fewer veterinarians are working in remote areas, fewer producers use veterinarians, and, as a result, fewer sick animals are being investigated by the general surveillance system. A syndrome is a collection of signs that occur in a sick individual. Syndromic surveillance is an emerging approach to monitoring populations for change in disease levels and is based on statistical monitoring of the distribution of signs, syndromes and associations between health variables in a population. Often, diseases will have syndromes that are characteristic and the monitoring of these syndromes may provide for early detection of outbreaks. Because the process uses general signs, this method may support the existing (struggling) general surveillance system for the extensive cattle producing regions of northern Australia. Syndromic surveillance systems offer many potential advantages. First, the signs that are monitored can be general and include any health-related variable. This generality provides potential as a detector of emerging diseases. Second, many of the data types used occur early in a disease process and therefore efficient syndromic surveillance systems can detect disease events in a timely manner. There are many hurdles to the successful deployment of a syndromic surveillance system and most relate to data. An effective system will ideally obtain data from multiple sources, all data will conform to a standard (therefore each data source can be validly combined), data coverage will be…

Subjects/Keywords: syndromic surveillance system; cattle; remote area

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Shephard, R. W. (2006). The development of a syndromic surveillance system for the extensive beef cattle producing regions of Australia . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/2210

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Shephard, Richard William. “The development of a syndromic surveillance system for the extensive beef cattle producing regions of Australia .” 2006. Thesis, University of Sydney. Accessed January 22, 2021. http://hdl.handle.net/2123/2210.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Shephard, Richard William. “The development of a syndromic surveillance system for the extensive beef cattle producing regions of Australia .” 2006. Web. 22 Jan 2021.

Vancouver:

Shephard RW. The development of a syndromic surveillance system for the extensive beef cattle producing regions of Australia . [Internet] [Thesis]. University of Sydney; 2006. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/2123/2210.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shephard RW. The development of a syndromic surveillance system for the extensive beef cattle producing regions of Australia . [Thesis]. University of Sydney; 2006. Available from: http://hdl.handle.net/2123/2210

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

12. Bronner, Anne. Vers un modèle de surveillance intégrée des maladies exotiques abortives chez les bovins en France métropolitaine : évaluation de la surveillance évènementielle et exploration d’outils complémentaires de surveillance syndromique : Towards the development of an integrated surveillance system for exotic abortive diseases in French cattle : evaluation of clinical surveillance and exploration of complementary syndromic surveillance systems.

Degree: Docteur es, Biologie de l’environnement, des populations, écologie, 2015, Université Claude Bernard – Lyon I

URL: http://www.theses.fr/2015LYO10161

►

La surveillance des maladies abortives chez les bovins actuellement absentes du territoire (dites maladies exotiques), parmi lesquelles figure la brucellose, constitue un cas emblématique de… (more)

▼

La surveillance des maladies abortives chez les bovins actuellement absentes du territoire (dites maladies exotiques), parmi lesquelles figure la brucellose, constitue un cas emblématique de système de surveillance à faire évoluer. Cette surveillance n'est réellement organisée que pour la brucellose. Pour cette maladie, la surveillance évènementielle basée sur la déclaration obligatoire de tout avortement (DA) constitue la pierre angulaire de la surveillance, mais souffre de l'avis de l'ensemble des acteurs, d'une forte sous-déclaration, sans que cela ait été évalué. Dans le cadre de cette thèse, l'évaluation approfondie du dispositif de DA a permis de quantifier la faible sensibilité de ce dispositif et d'identifier l'influence de différents facteurs, structurels, humains et sanitaires, sur le processus de déclaration. En parallèle, des données démographiques et de reproduction, collectées respectivement à des fins de traçabilité des animaux et d'amélioration des performances génétiques, ont été utilisées pour élaborer des indicateurs indirects de survenue d'avortements. La modélisation des variations temporelles et spatio-temporelles de ces indicateurs a souligné la capacité d'outils de surveillance syndromique à identifier la survenue d'évènements abortifs à l'échelle individuelle et des élevages. Au vu de ces travaux, l'amélioration de la surveillance des maladies exotiques abortives passe par le renforcement du dispositif de DA et le développement d'outils de surveillance syndromique. Plus globalement, dans un contexte où les risques d'apparition de maladies exotiques ou émergentes et les formes épidémio-cliniques qu'elles revêtiraient sont très difficilement prévisibles, il apparaît nécessaire de revisiter la surveillance des maladies exotiques et émergentes en définissant des systèmes de surveillance intégrée, déclinés par filière de production, associant différentes modalités de surveillance. De tels systèmes, en couvrant des maladies connues ou non, présentes sous forme clinique ou asymptomatique, et sous forme sporadique, épizootique ou diffuse, optimiseraient les chances de détecter les maladies exotiques ou émergentes

The surveillance system for exotic abortive diseases in French cattle (i.e. abortive diseases that are not currently found in France), such as brucellosis, is a typical example of a surveillance system that is in need of improvement. This type of surveillance only actually exists for brucellosis. Clinical surveillance is the cornerstone of brucellosis surveillance and consists in the mandatory notification of each bovine abortion. However, while no quantitatively assessments have been made, it is common knowledge that this type of surveillance suffers from high levels of under-reporting. By providing an in-depth assessment of the bovine abortion notification surveillance system, we quantified its low sensitivity and identified the influence of structural, human and health factors on how decisions to report abortions are taken. In addition, demographic and reproductive data, collected for…

Advisors/Committee Members: Calavas, Didier (thesis director).

Subjects/Keywords: Epidémiologie; Surveillance syndromique; Déclaration obligatoire; Avortements; Bovins; Évaluation; Epidemiology; Syndromic surveillance; Mandatory notification; Abortion; Cattle; Evaluation; 577.8

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Bronner, A. (2015). Vers un modèle de surveillance intégrée des maladies exotiques abortives chez les bovins en France métropolitaine : évaluation de la surveillance évènementielle et exploration d’outils complémentaires de surveillance syndromique : Towards the development of an integrated surveillance system for exotic abortive diseases in French cattle : evaluation of clinical surveillance and exploration of complementary syndromic surveillance systems. (Doctoral Dissertation). Université Claude Bernard – Lyon I. Retrieved from http://www.theses.fr/2015LYO10161

Chicago Manual of Style (16^th Edition):

Bronner, Anne. “Vers un modèle de surveillance intégrée des maladies exotiques abortives chez les bovins en France métropolitaine : évaluation de la surveillance évènementielle et exploration d’outils complémentaires de surveillance syndromique : Towards the development of an integrated surveillance system for exotic abortive diseases in French cattle : evaluation of clinical surveillance and exploration of complementary syndromic surveillance systems.” 2015. Doctoral Dissertation, Université Claude Bernard – Lyon I. Accessed January 22, 2021. http://www.theses.fr/2015LYO10161.

MLA Handbook (7^th Edition):

Bronner, Anne. “Vers un modèle de surveillance intégrée des maladies exotiques abortives chez les bovins en France métropolitaine : évaluation de la surveillance évènementielle et exploration d’outils complémentaires de surveillance syndromique : Towards the development of an integrated surveillance system for exotic abortive diseases in French cattle : evaluation of clinical surveillance and exploration of complementary syndromic surveillance systems.” 2015. Web. 22 Jan 2021.

Vancouver:

Bronner A. Vers un modèle de surveillance intégrée des maladies exotiques abortives chez les bovins en France métropolitaine : évaluation de la surveillance évènementielle et exploration d’outils complémentaires de surveillance syndromique : Towards the development of an integrated surveillance system for exotic abortive diseases in French cattle : evaluation of clinical surveillance and exploration of complementary syndromic surveillance systems. [Internet] [Doctoral dissertation]. Université Claude Bernard – Lyon I; 2015. [cited 2021 Jan 22]. Available from: http://www.theses.fr/2015LYO10161.

Council of Science Editors:

Bronner A. Vers un modèle de surveillance intégrée des maladies exotiques abortives chez les bovins en France métropolitaine : évaluation de la surveillance évènementielle et exploration d’outils complémentaires de surveillance syndromique : Towards the development of an integrated surveillance system for exotic abortive diseases in French cattle : evaluation of clinical surveillance and exploration of complementary syndromic surveillance systems. [Doctoral Dissertation]. Université Claude Bernard – Lyon I; 2015. Available from: http://www.theses.fr/2015LYO10161

13. Perrin, Jean-Baptiste. Modélisation de la mortalité bovine dans un objectif de surveillance épidémiologique : Modeling cattle mortality : use for syndromic surveillance.

Degree: Docteur es, Épidémiologie, 2012, Université Claude Bernard – Lyon I

URL: http://www.theses.fr/2012LYO10275

►

La surveillance syndromique est un concept récent en épidémiologie. Fondée sur le suivi automatisé d’indicateurs de santé non spécifiques, cette nouvelle approche offre des perspectives… (more)

▼

La surveillance syndromique est un concept récent en épidémiologie. Fondée sur le suivi automatisé d’indicateurs de santé non spécifiques, cette nouvelle approche offre des perspectives intéressantes pour la détection de phénomènes pathologiques émergents. Nous nous sommes basés sur les données actuellement collectées en France sur la mortalité bovine pour évaluer la faisabilité et la pertinence d’un système de surveillance syndromique basé sur cet indicateur. Nous avons d’abord modélisé le niveau de référence de la mortalité bovine en France puis proposé des méthodes pour identifier et quantifier d’éventuels excès de mortalité. Nous avons d’abord analysé des données réelles pour estimer rétrospectivement les conséquences sur la mortalité de l’épizootie de fièvre catarrhale ovine qui a touché le cheptel bovin français en 2007 et 2008. Nous avons ensuite proposé une méthode visant à identifier des regroupements d’unités spatiales présentant des augmentations inhabituelles de mortalité, et évalué ses performances pour détecter des foyers d’une maladie infectieuse dont nous avons simulé la propagation dans le cheptel bovin. Sur la base de ces travaux, nous discutons finalement de l’intérêt pour la protection de la santé animale d’un système de surveillance non spécifique basé sur la mortalité, et émettons des propositions pour la mise en place opérationnelle d’un tel système.

Syndromic surveillance is a recent concept in epidemiology. Based on automated monitoringof non-specific health indicators, this new approach offers interesting prospects for the detection of various health events. We analyzed data on cattle mortality routinely collected inFrance to assess the feasibility and relevance of a syndromic surveillance system based on this indicator. We modeled the baseline of cattle mortality in France and proposed methods to identify and quantify excess mortality. First we analyzed real data to retrospectively estimate the effects on mortality of the bluetongue outbreak which affected the French cattle in 2007 and 2008. We then proposed a method to detect unusual increases mortality, and evaluated its performance for the detection of outbreaks of an infectious disease of which we simulated the spread in the cattle population. We finally discuss the interest of a surveillance system based on non-specific mortality for the protection of animal health, and make proposals for the operational implementation of such a system.

Advisors/Committee Members: Calavas, Didier (thesis director), Ducrot, Christian (thesis director).

Subjects/Keywords: Épidémiosurveillance; Épidémiologie; Surveillance syndromique; Mortalité; Bovin; Modélisation; Epidemiological monitoring; Epidemiology; Syndromic surveillance; Mortality; Cattle; Modelling; 614.4

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Perrin, J. (2012). Modélisation de la mortalité bovine dans un objectif de surveillance épidémiologique : Modeling cattle mortality : use for syndromic surveillance. (Doctoral Dissertation). Université Claude Bernard – Lyon I. Retrieved from http://www.theses.fr/2012LYO10275

Chicago Manual of Style (16^th Edition):

Perrin, Jean-Baptiste. “Modélisation de la mortalité bovine dans un objectif de surveillance épidémiologique : Modeling cattle mortality : use for syndromic surveillance.” 2012. Doctoral Dissertation, Université Claude Bernard – Lyon I. Accessed January 22, 2021. http://www.theses.fr/2012LYO10275.

MLA Handbook (7^th Edition):

Perrin, Jean-Baptiste. “Modélisation de la mortalité bovine dans un objectif de surveillance épidémiologique : Modeling cattle mortality : use for syndromic surveillance.” 2012. Web. 22 Jan 2021.

Vancouver:

Perrin J. Modélisation de la mortalité bovine dans un objectif de surveillance épidémiologique : Modeling cattle mortality : use for syndromic surveillance. [Internet] [Doctoral dissertation]. Université Claude Bernard – Lyon I; 2012. [cited 2021 Jan 22]. Available from: http://www.theses.fr/2012LYO10275.

Council of Science Editors:

Perrin J. Modélisation de la mortalité bovine dans un objectif de surveillance épidémiologique : Modeling cattle mortality : use for syndromic surveillance. [Doctoral Dissertation]. Université Claude Bernard – Lyon I; 2012. Available from: http://www.theses.fr/2012LYO10275

Australian National University

14. Draper, Anthony David Kneipp. Applied Epidemiology in the Top End and Timor Lorosa'e .

Degree: 2017, Australian National University

URL: http://hdl.handle.net/1885/131792

► During 2015 and 2016 I undertook the Master of Philosophy in Applied Epidemiology (MAE) while continuing at the Northern Territory (NT) Centre for Disease Control… (more)

▼ During 2015 and 2016 I undertook the Master of Philosophy in Applied Epidemiology (MAE) while continuing at the Northern Territory (NT) Centre for Disease Control (CDC) as the OzFoodNet (OFN) epidemiologist. I completed projects which form part of the requirement for attaining this degree and which taught the skills essential for good public health practitioners. In addition to the numerous routine suspected foodborne outbreak investigations I led as chief investigator and OFN epidemiologist, I conducted two cohort studies which displayed my competence to investigate acute public health events. The first outbreak I investigated was an outbreak of Salmonella Saintpaul gastroenteritis amongst students who attended a school camp in a remote area of the NT. The results of this investigation suggested food or drink at the camp was contaminated by environmental Salmonella. There were multiple possible mechanisms for contamination to occur due to poor food safety knowledge, poor hygiene and structural deficiencies. I recommended that those preparing food in campgrounds and outdoor settings have appropriate knowledge of safe food handling procedures and recognise the risks of contaminating food or water with pathogens from the environment and appropriately maintaining facilities for food preparation and service. The second cohort study I conducted was while investigating an outbreak of salmonellosis (S. Typhimurium 9) associated with consumption of contaminated duck prosciutto at a restaurant. My investigation showed that scientific principles underpin safe food handling processes and it is important not to deviate from safe methods, particularly when preparing high risk foods. I evaluated the syndromic surveillance of adult gastroenteritis at Royal Darwin Hospital (RDH). I made a number of recommendations to formalise public health responses to alerts and to consider adjusting thresholds. Some outcomes of this evaluation are already being implemented. I conducted an epidemiological study where I used short message service (SMS) to follow up people notified to the Darwin CDC with campylobacteriosis, with the aim of detecting point-source outbreaks and estimating overseas acquisition. This project did not detect any outbreaks but estimated that at least 21% of campylobacteriosis cases were acquired overseas. As a result of this project, SMS has increasingly been used at CDC for disseminating information and is now the primary method for following up contacts as part of our measles public health response. For my data analysis project I analysed a dataset of patients diagnosed with tuberculosis (TB) at the Bairo Pite Cinic (BPC) in Dili, Timor-Leste. The most obvious finding from my project was that data quality was poor and large amounts of data were missing. I rationalised the number of…

Subjects/Keywords: Epidemiology; public health; communicable disease surveillance; syndromic surveillance; foodborne disease; salmonellosis; outbreak investigation; campylobacteriosis; SMS; tuberculosis; Northern Territory; Timor-Leste

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Draper, A. D. K. (2017). Applied Epidemiology in the Top End and Timor Lorosa'e . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/131792

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Draper, Anthony David Kneipp. “Applied Epidemiology in the Top End and Timor Lorosa'e .” 2017. Thesis, Australian National University. Accessed January 22, 2021. http://hdl.handle.net/1885/131792.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Draper, Anthony David Kneipp. “Applied Epidemiology in the Top End and Timor Lorosa'e .” 2017. Web. 22 Jan 2021.

Vancouver:

Draper ADK. Applied Epidemiology in the Top End and Timor Lorosa'e . [Internet] [Thesis]. Australian National University; 2017. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1885/131792.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Draper ADK. Applied Epidemiology in the Top End and Timor Lorosa'e . [Thesis]. Australian National University; 2017. Available from: http://hdl.handle.net/1885/131792

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Université de Grenoble

15. Petit, Eva. Modélisation de données de surveillance épidémiologique de la faune sauvage en vue de la détection de problèmes sanitaires inhabituels : Modelling of epidemiological surveillance data from wildlife for the detection of unusual health events.

Degree: Docteur es, Modèles, méthodes et algorithmes en biologie, santé et environnement, 2011, Université de Grenoble

URL: http://www.theses.fr/2011GRENS006

►

Des études récentes ont montré que parmi les infections émergentes chez l'homme, env. 40% étaient des zoonoses liées à la faune sauvage. La surveillance sanitaire… (more)

▼

Des études récentes ont montré que parmi les infections émergentes chez l'homme, env. 40% étaient des zoonoses liées à la faune sauvage. La surveillance sanitaire de ces animaux devrait contribuer à améliorer la protection de leur santé et aussi celle des animaux domestiques et des hommes. Notre objectif était de développer des outils de détection de problèmes sanitaires inhabituels dans la faune sauvage, en adoptant une approche syndromique, utilisée en santé humaine, avec des profils pathologiques comme indicateurs de santé non spécifiques. Un réseau national de surveillance des causes de mortalité dans la faune sauvage, appelé SAGIR, a fourni les données. Entre 1986 et 2007, plus de 50.000 cas ont été enregistrés, représentant 244 espèces de mammifères terrestres et d'oiseaux, et attribués à 220 différentes causes de mort. Le réseau a d'abord été évalué pour sa capacité à détecter précocement des événements inhabituels. Des classes syndromiques ont ensuite été définies par une typologie statistique des lésions observées sur les cadavres. Les séries temporelles des syndromes ont été analysées en utilisant deux méthodes complémentaires de détection : un algorithme robuste développé par Farrington et un modèle linéaire généralisé avec des termes périodiques. Les tendances séculaires de ces syndromes et des signaux correspondent a des excès de cas ont été identifiés. Les signalements de problèmes de mortalité inhabituelle dans le bulletin du réseau ont été utilisés pour interpréter ces signaux. L'étude analyse la pertinence de l'utilisation de la surveillance syndromique sur ce type de données et donne des éléments pour des améliorations futures.

Recent studies have shown that amongst emerging infectious disease events in humans, about 40% were zoonoses linked to wildlife. Disease surveillance of wildlife should help to improve health protection of these animals and also of domestic animals and humans that are exposed to these pathogenic agents. Our aim was to develop tools capable of detecting unusual disease events in free ranging wildlife, by adopting a syndromic approach, as it is used for human health surveillance, with pathological profiles as early unspecific health indicators. We used the information registered by a national network monitoring causes of death in wildlife in France since 1986, called SAGIR. More than 50.000 cases of mortality in wildlife were recorded up to 2007, representing 244 species of terrestrial mammals and birds, and were attributed to 220 different causes of death. The network was first evaluated for its capacity to detect early unusual events. Syndromic classes were then defined by a statistical typology of the lesions observed on the carcasses. Syndrome time series were analyzed, using two complimentary methods of detection, one robust detection algorithm developed by Farrington and another generalized linear model with periodic terms. Historical trends of occurrence of these syndromes and greater-than-expected counts (signals) were identified. Reporting of unusual mortality…

Advisors/Committee Members: Artois, Marc (thesis director), Calavas, Didier (thesis director).

Subjects/Keywords: Epidémiologie; Surveillance syndromique; Faune sauvage; Détection d'anomalie; Émergence; Tendance; Epidemiology; Syndromic surveillance; Wildlife; Anomaly detection; Emerging; Trend

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Petit, E. (2011). Modélisation de données de surveillance épidémiologique de la faune sauvage en vue de la détection de problèmes sanitaires inhabituels : Modelling of epidemiological surveillance data from wildlife for the detection of unusual health events. (Doctoral Dissertation). Université de Grenoble. Retrieved from http://www.theses.fr/2011GRENS006

Chicago Manual of Style (16^th Edition):

Petit, Eva. “Modélisation de données de surveillance épidémiologique de la faune sauvage en vue de la détection de problèmes sanitaires inhabituels : Modelling of epidemiological surveillance data from wildlife for the detection of unusual health events.” 2011. Doctoral Dissertation, Université de Grenoble. Accessed January 22, 2021. http://www.theses.fr/2011GRENS006.

MLA Handbook (7^th Edition):

Petit, Eva. “Modélisation de données de surveillance épidémiologique de la faune sauvage en vue de la détection de problèmes sanitaires inhabituels : Modelling of epidemiological surveillance data from wildlife for the detection of unusual health events.” 2011. Web. 22 Jan 2021.

Vancouver:

Petit E. Modélisation de données de surveillance épidémiologique de la faune sauvage en vue de la détection de problèmes sanitaires inhabituels : Modelling of epidemiological surveillance data from wildlife for the detection of unusual health events. [Internet] [Doctoral dissertation]. Université de Grenoble; 2011. [cited 2021 Jan 22]. Available from: http://www.theses.fr/2011GRENS006.

Council of Science Editors:

Petit E. Modélisation de données de surveillance épidémiologique de la faune sauvage en vue de la détection de problèmes sanitaires inhabituels : Modelling of epidemiological surveillance data from wildlife for the detection of unusual health events. [Doctoral Dissertation]. Université de Grenoble; 2011. Available from: http://www.theses.fr/2011GRENS006

University of Melbourne

16. Pfeiffer, Caitlin Nicole. Improving disease surveillance in Australia’s sheep industries: investigations of syndromic surveillance, farmer behaviour and sheep trade networks.

Degree: 2018, University of Melbourne

URL: http://hdl.handle.net/11343/219385

► Designing and delivering effective, useful livestock health surveillance is a challenge for many countries. The observations of people in frequent contact with livestock, captured through… (more)

▼ Designing and delivering effective, useful livestock health surveillance is a challenge for many countries. The observations of people in frequent contact with livestock, captured through passive surveillance, play an important role in many national surveillance systems. In Australia, the effectiveness of passive surveillance on sheep and beef farms has been limited by infrequent veterinary contact. Farm workers frequently observe signs of disease in livestock, but these observations are not captured by existing surveillance systems. This thesis therefore posed the question: can farmers’ observations be collected to generate useful surveillance information? Syndromic surveillance of farmers’ observations is one approach to increase data capture from extensive livestock farms. Chapter 3 describes the operation of a syndromic surveillance system collecting farmers’ observations of livestock health in Victoria, Australia, over its first two years of operation from 2014 to 2016. Survival analysis and classification and regression tree analysis were used to identify farm level factors associated with reliable participation, to inform future recruitment aimed at farmers who were willing and able to provide regular, timely reports. Farmers keeping only sheep were the most reliable and timely respondents, while farmers aged under 43 years or working full time on-farm had lower response rates than older farmers or part-time farmers. This chapter demonstrates that recording farmers’ observations of signs of disease using syndromes is a feasible and effective method to gather disease occurrence data. The utility of syndromic data is further investigated in Chapter 4, using the observations collected by the surveillance system to quantify ewe mortality on sheep farms in southern Australia. Ewe deaths were reported in 540 of 612 reports, describing 2106 individual deaths, with a median of 4 deaths per positive monthly report. Median mortality rates ranged between individual farms from 1 to 5 deaths/1000 ewes/month. The incidence rate ratio of mortality in the five months preceding and following lambing was 2.8 (95% CI 2.0 to 4.1) compared to the remaining seven months of the year. Overall ewe mortality could therefore be reduced through strategies targeted to improving peri-parturient ewe survival. In a subset of reports where veterinary contact was recorded, just 15% of reported deaths involved a veterinarian. Further investigation of how and why farmers respond to ewe deaths without veterinary support is needed, to determine the best farm management strategies to reduce mortality. Chapter 5 investigates Australian sheep farmers’ low rates of veterinary contact. The study aimed to understand why Australian sheep farmers chose not to contact veterinarians when their animals showed signs of disease, and what alternative approaches they took to managing unwell animals. Data were collected during three focus group discussions with sheep farmers in Victoria, Australia. Transcripts of those discussions were analysed using a…

Subjects/Keywords: animal health surveillance; sheep; syndromic surveillance; farmer behaviour; grounded theory; ewe mortality; network analysis; temporal network; livestock movement network

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Pfeiffer, C. N. (2018). Improving disease surveillance in Australia’s sheep industries: investigations of syndromic surveillance, farmer behaviour and sheep trade networks. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/219385

Chicago Manual of Style (16^th Edition):

Pfeiffer, Caitlin Nicole. “Improving disease surveillance in Australia’s sheep industries: investigations of syndromic surveillance, farmer behaviour and sheep trade networks.” 2018. Doctoral Dissertation, University of Melbourne. Accessed January 22, 2021. http://hdl.handle.net/11343/219385.

MLA Handbook (7^th Edition):

Pfeiffer, Caitlin Nicole. “Improving disease surveillance in Australia’s sheep industries: investigations of syndromic surveillance, farmer behaviour and sheep trade networks.” 2018. Web. 22 Jan 2021.

Vancouver:

Pfeiffer CN. Improving disease surveillance in Australia’s sheep industries: investigations of syndromic surveillance, farmer behaviour and sheep trade networks. [Internet] [Doctoral dissertation]. University of Melbourne; 2018. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/11343/219385.

Council of Science Editors:

Pfeiffer CN. Improving disease surveillance in Australia’s sheep industries: investigations of syndromic surveillance, farmer behaviour and sheep trade networks. [Doctoral Dissertation]. University of Melbourne; 2018. Available from: http://hdl.handle.net/11343/219385

University of New South Wales

17. Rosewell, Alexander. Strengthening disease surveillance in Papua New Guinea.

Degree: Public Health & Community Medicine, 2013, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/52957 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11635/SOURCE01?view=true

► Papua New Guinea is a fragile state, where the health system faces significant constraints and surveillance systems infrequently meet international standards. The country is striving… (more)

▼ Papua New Guinea is a fragile state, where the health system faces significant constraints and surveillance systems infrequently meet international standards. The country is striving to achieve the minimum requirements in disease surveillance in line with the International Health Regulations (IHR 2005). This research has shown that Papua New Guinea is a high risk setting for emerging and re-emerging infections, for unusual combinations of outbreaks and clinical syndromes, and for outbreaks in remote locations which are difficult to detect in a timely way. These studies characterise some of the acute public health events affecting Papua New Guinea during the research period, including the first report of cholera, concurrent outbreaks of shigellosis and influenza as well as cholera and peripheral neuropathy among vulnerable populations. The lack of human resources for health makes timely outbreak detection and response a major challenge. A simple mobile phone based syndromic surveillance system was successfully implemented in this fragile state. The system met some of its objectives by enabling timely, complete and sensitive reporting of data for risk assessment. In fragile states, mobile phone technology may improve the timeliness and efficiency of disease surveillance and corresponding disease control. The findings from this series of studies can inform emerging infectious disease policy and practice. Further work is required to strengthen and expand the syndromic surveillance system as well as the event based surveillance systems. Data contained within this thesis is useful for Papua New Guinea and other fragile states that are striving to achieve the minimum core requirements under the IHR. Advisors/Committee Members: MacIntyre, Raina, Public Health & Community Medicine, Faculty of Medicine, UNSW, Zwi, Anthony, Public Health & Community Medicine, Faculty of Medicine, UNSW, Ray, Pradeep, Information Systems, Technology & Management, Australian School of Business, UNSW, Mola, Glen, University of Papua New Guinea.

Subjects/Keywords: International Health Regulations; Surveillance; Outbreak; Cholera; Human resources; mHealth; Shigella; Influenza; Syndromic surveillance; Papua New Guinea

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Rosewell, A. (2013). Strengthening disease surveillance in Papua New Guinea. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52957 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11635/SOURCE01?view=true

Chicago Manual of Style (16^th Edition):

Rosewell, Alexander. “Strengthening disease surveillance in Papua New Guinea.” 2013. Doctoral Dissertation, University of New South Wales. Accessed January 22, 2021. http://handle.unsw.edu.au/1959.4/52957 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11635/SOURCE01?view=true.

MLA Handbook (7^th Edition):

Rosewell, Alexander. “Strengthening disease surveillance in Papua New Guinea.” 2013. Web. 22 Jan 2021.

Vancouver:

Rosewell A. Strengthening disease surveillance in Papua New Guinea. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2021 Jan 22]. Available from: http://handle.unsw.edu.au/1959.4/52957 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11635/SOURCE01?view=true.

Council of Science Editors:

Rosewell A. Strengthening disease surveillance in Papua New Guinea. [Doctoral Dissertation]. University of New South Wales; 2013. Available from: http://handle.unsw.edu.au/1959.4/52957 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11635/SOURCE01?view=true

The Ohio State University

18. Shaffer, Loren E. Using pre-diagnostic data fom veterinary laboratories to detect disease outbreaks in companion animals.

Degree: PhD, Veterinary Preventive Medicine, 2007, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1176376010

► Emerging infectious diseases and the threat of bioterrorism have fostered a desire for improved timeliness of outbreak detection. Traditional disease reporting is reliant on confirmed… (more)

▼ Emerging infectious diseases and the threat of bioterrorism have fostered a desire for improved timeliness of outbreak detection. Traditional disease reporting is reliant on confirmed diagnoses, often involving laboratory analysis that may require days to complete. Most emerging infectious and bioweapon pathogens are zoonotic organisms. Detection of zoonotic outbreaks has often relied on the identification of human cases. We investigated how data from veterinary diagnostic laboratories (VDLs) might contribute to earlier outbreak detection efforts in Ohio. We began by determining the representation of animal species in the data and evaluating the representation of human households. Companion animals comprised 98.1% of the total number of specimens submitted to a commercial, nation-wide VDL from clinics in Ohio in one year. Using estimates derived from a survey of pet owners, we determined that these data represented approximately 6.6% of Ohio households. The value of microbiology test orders was determined by quantifying the representation and potential gain in timeliness from two VDL datasets. We also investigated the potential to determine estimated count values from historical records and detect significant increases in these values using statistical-based detection methods. The data represented specimens from mostly companion animals (85.0% and 74.3%) followed by horses (8.2% and 17.2%). We determined a potential gain of timeliness in outbreak detection of three to five days. We developed baselines of microorganism incidence and total microbiology orders from the datasets and detected some of the clusters of pathogen-specific isolates by analyzing the weekly totals of all microbiology orders. We demonstrated how someone might use these data in a prospective system to detect outbreaks of disease earlier than traditional methods. Case reviews from a pilot system indicated the potential benefit to public health as well as veterinary community. We concluded from these investigations that: 1) data from VDLs do possess certain qualities that validate their value for syndromic surveillance, 2) these data may be especially useful for surveillance in companion animals, and 3) earlier detection of certain disease outbreaks may be possible from a prospective system using VDL data. Advisors/Committee Members: Saville, William (Advisor).

Subjects/Keywords: Epidemiology; Disease Surveillance; Biosurveillance; Syndromic Surveillance; Zoonoses; Public Health

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Shaffer, L. E. (2007). Using pre-diagnostic data fom veterinary laboratories to detect disease outbreaks in companion animals. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1176376010

Chicago Manual of Style (16^th Edition):

Shaffer, Loren E. “Using pre-diagnostic data fom veterinary laboratories to detect disease outbreaks in companion animals.” 2007. Doctoral Dissertation, The Ohio State University. Accessed January 22, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1176376010.

MLA Handbook (7^th Edition):

Shaffer, Loren E. “Using pre-diagnostic data fom veterinary laboratories to detect disease outbreaks in companion animals.” 2007. Web. 22 Jan 2021.

Vancouver:

Shaffer LE. Using pre-diagnostic data fom veterinary laboratories to detect disease outbreaks in companion animals. [Internet] [Doctoral dissertation]. The Ohio State University; 2007. [cited 2021 Jan 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1176376010.

Council of Science Editors:

Shaffer LE. Using pre-diagnostic data fom veterinary laboratories to detect disease outbreaks in companion animals. [Doctoral Dissertation]. The Ohio State University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1176376010

19. Sugiura, Hiroaki; Ohkusa, Yasushi; Akahane, Manabu; Sano, Tomomi; Okabe, Nobuhiko. Development of a web-based survey for monitoring daily health and its application in an epidemiological survey.

Degree: Nara Medical University / 奈良県立医科大学

URL: http://hdl.handle.net/10564/2083

►

Background: Early detection of symptoms arising from exposure to pathogens, harmful substances, or environmental changes requires timely intervention. The administration of web-based questionnaires is a… (more)

▼

Background: Early detection of symptoms arising from exposure to pathogens, harmful substances, or environmental changes requires timely intervention. The administration of web-based questionnaires is a potential method for collecting information from a sample population. Objective: To develop a web-based daily questionnaire for health (WDQH) for symptomatic surveillance.Methods: We adopted two different survey methods to develop the WDQH: an internet panel survey, which included subjects already registered with an internet survey company, and the Tokyo Consumers’ Co-operative Union (TCCU) internet survey, in cooperation with the Japanese Consumers’ Co-operative Union, which recruited participants by website advertising. The internet panel survey participants were given a fee everyday for answers, and the survey was repeated twice with modified surveys and collection methods; Internet Panel Survey I was conducted every day, and Internet Panel Survey II was conducted every 3 days to reduce costs. We examined whether the survey remained valid by reporting health conditions on day 1 over a 3-day period, and whether the response rate would vary among groups with different incentives. In the TCCU survey, participants were given a fee only for initial registering, and health information was provided in return for survey completion. The WDQH included the demographic details of participants and prompted subjects to answer questions about the presence of various symptoms by e-mail. Health information collected by the WDQH was then used for the syndromic surveillance of infection. Results: Response rates averaged 47.3% for Internet Panel Survey I, 42.7% for Internet Panel Survey II, and 40.1% for the TCCU survey. During a seasonal influenza epidemic, a rapid increase in the number of patients with fever was reported by the WDQH using the early aberration reporting system. Conclusions: We developed a health observation method based on self-reporting by subjects via the internet. We validated the usefulness of the WDQH via its practical use in syndromic surveillance.

博士（医学）・甲第581号・平成24年3月16日

The definitive version is available at "http://www.jmir.org/2011/3/e66/"

Subjects/Keywords: web-based survey; syndromic surveillance; long-term operation

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sugiura, Hiroaki; Ohkusa, Yasushi; Akahane, Manabu; Sano, Tomomi; Okabe, N. (n.d.). Development of a web-based survey for monitoring daily health and its application in an epidemiological survey. (Thesis). Nara Medical University / 奈良県立医科大学. Retrieved from http://hdl.handle.net/10564/2083

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sugiura, Hiroaki; Ohkusa, Yasushi; Akahane, Manabu; Sano, Tomomi; Okabe, Nobuhiko. “Development of a web-based survey for monitoring daily health and its application in an epidemiological survey.” Thesis, Nara Medical University / 奈良県立医科大学. Accessed January 22, 2021. http://hdl.handle.net/10564/2083.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sugiura, Hiroaki; Ohkusa, Yasushi; Akahane, Manabu; Sano, Tomomi; Okabe, Nobuhiko. “Development of a web-based survey for monitoring daily health and its application in an epidemiological survey.” Web. 22 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Sugiura, Hiroaki; Ohkusa, Yasushi; Akahane, Manabu; Sano, Tomomi; Okabe N. Development of a web-based survey for monitoring daily health and its application in an epidemiological survey. [Internet] [Thesis]. Nara Medical University / 奈良県立医科大学; [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10564/2083.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Sugiura, Hiroaki; Ohkusa, Yasushi; Akahane, Manabu; Sano, Tomomi; Okabe N. Development of a web-based survey for monitoring daily health and its application in an epidemiological survey. [Thesis]. Nara Medical University / 奈良県立医科大学; Available from: http://hdl.handle.net/10564/2083

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Mississippi State University

20. Minnis, Richard Brian. DEVELOPMENT OF A HEALTH MANAGEMENT INFORMATION SYSTEM FOR THE MOUNTAIN GORILLA (Gorilla beringei).

Degree: PhD, Wildlife and Fisheries, 2006, Mississippi State University

URL: http://sun.library.msstate.edu/ETD-db/theses/available/etd-11062006-152814/ ;

► The Mountain Gorillas of Central Africa are one of the most highly endangered species in the world, with only 740 individuals surviving. One of the… (more)

▼ The Mountain Gorillas of Central Africa are one of the most highly endangered species in the world, with only 740 individuals surviving. One of the greatest threats to this species is disease. Health of wildlife is continually garnering more attention in the public arena due to recent outbreaks of diseases such as West Nile and High Pathogenic Avian Influenza. However, no system currently exists to facilitate the management and analysis of wildlife health data. The research conducted herein was the development and testing of a health information monitoring system for the mountain gorillas entitled Internet-supported Management Program to Assist Conservation Technologies or IMPACT?. The system functions around a species database of known or unknown individuals and provides individual-based and population-based epidemiological analysis. The system also uses spatial locations of individuals or samples to link multiple species together based on spatial proximity for inter-species comparisons. A syndromic surveillance system or clinical decision tree was developed to collect standardized data to better understand the ecology of diseases within the gorilla population. The system is hierarchical in nature, using trackers and guides to conduct daily observations while specially trained veterinarians are used to confirm and assess any abnormalities detected. Assessment of the decision tree indicated that trackers and guides did not observe gorilla groups or individuals within groups similarly. Data suggests that, to be consistent, trackers and guides need to conduct observations even on the day that veterinarians collect data. Validity and reliability remain to be tested in the observation instrument. Assessment of pathogen loads and distributions within species surrounding the gorillas indicates that humans have the greatest pathogen loads with 13 species, followed by cattle and chimpanzees (11), baboon (10), gorillas (9), and rodents (3). Spatial aggregation occurred in Cryptosporidium, Giardia, and Trichuris; however, there is reason to question the test results of the former 2 species. These data suggest that researchers need to examine the impact of local human and domestic animal populations on gorillas and other wildlife. Advisors/Committee Members: Loren W. Burger (chair), Bruce D. Leopold (committee member), Francisco J. Vilella (committee member), Micheal R. Cranfield (committee member), Carla Huston (committee member), Sherman Jack (committee member).

Subjects/Keywords: Mountain Gorilla; Syndromic surveillance; Health Information System

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Minnis, R. B. (2006). DEVELOPMENT OF A HEALTH MANAGEMENT INFORMATION SYSTEM FOR THE MOUNTAIN GORILLA (Gorilla beringei). (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-11062006-152814/ ;

Chicago Manual of Style (16^th Edition):

Minnis, Richard Brian. “DEVELOPMENT OF A HEALTH MANAGEMENT INFORMATION SYSTEM FOR THE MOUNTAIN GORILLA (Gorilla beringei).” 2006. Doctoral Dissertation, Mississippi State University. Accessed January 22, 2021. http://sun.library.msstate.edu/ETD-db/theses/available/etd-11062006-152814/ ;.

MLA Handbook (7^th Edition):

Minnis, Richard Brian. “DEVELOPMENT OF A HEALTH MANAGEMENT INFORMATION SYSTEM FOR THE MOUNTAIN GORILLA (Gorilla beringei).” 2006. Web. 22 Jan 2021.

Vancouver:

Minnis RB. DEVELOPMENT OF A HEALTH MANAGEMENT INFORMATION SYSTEM FOR THE MOUNTAIN GORILLA (Gorilla beringei). [Internet] [Doctoral dissertation]. Mississippi State University; 2006. [cited 2021 Jan 22]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-11062006-152814/ ;.

Council of Science Editors:

Minnis RB. DEVELOPMENT OF A HEALTH MANAGEMENT INFORMATION SYSTEM FOR THE MOUNTAIN GORILLA (Gorilla beringei). [Doctoral Dissertation]. Mississippi State University; 2006. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-11062006-152814/ ;

21. Sheinson, Daniel Michael. Sequential Monte Carlo methods: applications to disease surveillance and fMRI data.

Degree: 2014, University of California – eScholarship, University of California

URL: http://www.escholarship.org/uc/item/6fm3v5cp

► We present contributions to epidemic tracking and analysis of fMRI data using sequential Monte Carlo methods within a state-space modeling framework. Using a model for… (more)

▼ We present contributions to epidemic tracking and analysis of fMRI data using sequential Monte Carlo methods within a state-space modeling framework. Using a model for tracking and prediction of a disease outbreak via a syndromic surveillance system, we compare the performance of several particle filtering algorithms in terms of their abilities to efficiently estimate disease states and unknown fixed parameters governing disease transmission. In this context, we demonstrate that basic particle filters may fail due to degeneracy when estimating fixed parameters, and we suggest the use of an algorithm developed by Liu and West (2001), which incorporates a kernel density approximation to the filtered distribution of the fixed parameters to allow for their regeneration. In addition, we show that seemingly uninformative uniform priors on fixed parameters can affect posterior inferences, and we suggest the use of priors bounded only by the support of the parameter. We demonstrate the negative impact of using multinomial resampling and suggest the use of either stratified or residual resampling within the particle filter. We also run a particle MCMC algorithm and show that the performance of the Liu and West (2001) particle filter is competitive with particle MCMC in this particular syndromic surveillance model setting. Finally, the improved performance of the Liu and West (2001) particle filter enables us to relax prior assumptions on model parameters, yet still provide reasonable estimates for model parameters and disease states.We also analyze real and simulated fMRI data using a state-space formulation of a regression model with autocorrelated error structure. We demonstrate via simulation that analyzing autocorrelated fMRI data using a model with independent error structure can inflate the false positive rate of concluding significant neural activity, and we compare methods of accounting for autocorrelation in fMRI data by examining ROC curves. In addition, we show that comparing models with different autocorrelated error structures on the basis of the independence of fitted model residuals can produce misleading results. Using data collected from an fMRI experiment featuring an episodic word recognition task, we estimate parameters in dynamic regression models using maximum likelihood and identify clusters of low and high activation in specific brain regions. We compare alternative models for fMRI time series from these brain regions by approximating the marginal likelihood of the data using particle learning. Our results suggest that a regression model with a dynamic intercept is the preferred model for most fMRI time series in the episodic word recognition experiment within the brain regions we considered, while a model with a dynamic slope is preferred for a small percentage of voxels in these brain regions.

Subjects/Keywords: Statistics; Epidemiology; Neurosciences; Bayesian estimation; fMRI; particle filtering; sequential Monte Carlo; state-space models; syndromic surveillance

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sheinson, D. M. (2014). Sequential Monte Carlo methods: applications to disease surveillance and fMRI data. (Thesis). University of California – eScholarship, University of California. Retrieved from http://www.escholarship.org/uc/item/6fm3v5cp

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sheinson, Daniel Michael. “Sequential Monte Carlo methods: applications to disease surveillance and fMRI data.” 2014. Thesis, University of California – eScholarship, University of California. Accessed January 22, 2021. http://www.escholarship.org/uc/item/6fm3v5cp.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sheinson, Daniel Michael. “Sequential Monte Carlo methods: applications to disease surveillance and fMRI data.” 2014. Web. 22 Jan 2021.

Vancouver:

Sheinson DM. Sequential Monte Carlo methods: applications to disease surveillance and fMRI data. [Internet] [Thesis]. University of California – eScholarship, University of California; 2014. [cited 2021 Jan 22]. Available from: http://www.escholarship.org/uc/item/6fm3v5cp.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sheinson DM. Sequential Monte Carlo methods: applications to disease surveillance and fMRI data. [Thesis]. University of California – eScholarship, University of California; 2014. Available from: http://www.escholarship.org/uc/item/6fm3v5cp

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Georgia

22. Riach, James Robert. Health patterns of the Secoya of the northeastern Ecuadorian Amazon.

Degree: 2014, University of Georgia

URL: http://hdl.handle.net/10724/20420

► Population growth and economic globalization have intensified the intrusion into tropical forest environments inhabited by indigenous cultures. Although such encroachments are key factors in disease… (more)

▼ Population growth and economic globalization have intensified the intrusion into tropical forest environments inhabited by indigenous cultures. Although such encroachments are key factors in disease emergence, health data from affected indigenous communities are scant. Furthermore, the identification of factors contributing to disease emergence has relied on the application of an ecological model of disease that does not consider the influence of macro-social forces or of the ethnomedical beliefs of the afflicted populations. The Secoya of the northeastern Ecuadorian Amazon live in a moist, tropical forest environment that has been ecologically degraded by entries of petroleum and agricultural industries, and of land-clearing colonists. It is hypothesized that emergent health conditions exist among the Secoya population. To test this hypothesis, I identify the patterns of the Secoya health problems, test for the presence of diseaseemergence in the Secoya population, and identify potential emergence factors. I apply a biocultural approach to the collection and analysis of Secoya health data. I evaluate the health problems experienced by the Secoya with regards to their status as emergent conditions. The emergence factors I consider comprise biological and ecological elements in the environment, global and national political and economic social forces, and Secoya cultural beliefs, and behavioral patterns. My results include the identification of 261 health problems experienced by the Secoya during the period between 1998-1999. The most common health problems include grippe, diarrhea, a dizzy, weak or fainting syndrome, fever, febrile grippe, gastrointestinal parasitosis, skin fungal infections, leishmaniasis, malaria, and chicken pox. Definite emergent conditions include an unexplained fatal syndrome, dengue, hepatitis, tuberculosis, chicken pox, and chainsawrelated injuries. The agents associated with the emergent conditions have entered or reentered the Secoya population as a result of recent intrusions into the environment. The intrusions have been driven by demographic, economic, and geopolitical macro-social forces. They have also been influenced by the Ecuadorian government’s view of the Amazon as a source of potential wealth and of indigenous cultures as in need of conversion to the national culture.

Subjects/Keywords: Secoya; Ecuador; Amazon; indigenous populations; emerging diseases; globalization; environmental change; biocultural; health; epidemiology; medical anthropology; syndromic surveillance

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Riach, J. R. (2014). Health patterns of the Secoya of the northeastern Ecuadorian Amazon. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/20420

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Riach, James Robert. “Health patterns of the Secoya of the northeastern Ecuadorian Amazon.” 2014. Thesis, University of Georgia. Accessed January 22, 2021. http://hdl.handle.net/10724/20420.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Riach, James Robert. “Health patterns of the Secoya of the northeastern Ecuadorian Amazon.” 2014. Web. 22 Jan 2021.

Vancouver:

Riach JR. Health patterns of the Secoya of the northeastern Ecuadorian Amazon. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10724/20420.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Riach JR. Health patterns of the Secoya of the northeastern Ecuadorian Amazon. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/20420

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

23. Delespierre, Tiba. Du dossier résident informatisé à la recherche en santé publique : Application des méthodes de surveillance en temps réel à des données médico-sociales de la personne âgée et exploration de données de cohorte pour la santé publique. : From a nursing home electronic resident data warehouse to public health research : Applying public health surveillance systems methods to a real time long term care database and building a resident cohort study.

Degree: Docteur es, Santé publique - épidémiologie, 2018, Université Paris-Saclay (ComUE)

URL: http://www.theses.fr/2018SACLV030

► La France connaît un vieillissement de sa population sans précédent. La part des séniors s’accroît et notre société se doit de repenser son organisation pour… (more)

▼ La France connaît un vieillissement de sa population sans précédent. La part des séniors s’accroît et notre société se doit de repenser son organisation pour tenir compte de ce changement et mieux connaître cette population.De nombreuses cohortes de personnes âgées existent déjà à travers le monde dont quatre en France et, bien que la part de cette population vivant dans des structures d’hébergement collectif (EHPAD, cliniques de soins de suite) augmente, la connaissance de ces seniors reste lacunaire.Aujourd’hui les groupes privés de maisons de retraite et d’établissements sanitaires comme Korian ou Orpéa s’équipent de grandes bases de données relationnelles permettant d’avoir de l’information en temps réel sur leurs patients/résidents. Depuis 2010 les dossiers de tous les résidents Korian sont dématérialisés et accessibles par requêtes. Ils comprennent à la fois des données médico-sociales structurées décrivant les résidents et leurs traitements et pathologies, mais aussi des données textuelles explicitant leur prise en charge au quotidien et saisies par le personnel soignant.Au fil du temps et alors que le dossier résident informatisé (DRI) avait surtout été conçu comme une application de gestion de base de données, il est apparu comme une nécessité d’exploiter cette mine d’informations et de construire un outil d’aide à la décision destiné à améliorer l’efficacité des soins. L’Institut du Bien Vieillir IBV devenu entretemps la Fondation Korian pour le Bien Vieillir a alors choisi, dans le cadre d’un partenariat Public/Privé de financer un travail de recherche destiné à mieux comprendre le potentiel informatif de ces données, d’évaluer leur fiabilité et leur capacité à apporter des réponses en santé publique. Ce travail de recherche et plus particulièrement cette thèse a alors été pensée en plusieurs étapes.- D’abord l’analyse de contenu du data warehouse DRI, l’objectif étant de construire une base de données recherche, avec un versant social et un autre de santé. Ce fut le sujet du premier article.- Ensuite, par extraction directe des informations socio-démographiques des résidents dès leur entrée, de leurs hospitalisations et décès puis, par un processus itératif d’extractions d’informations textuelles de la table des transmissions et l’utilisation de la méthode Delphi, nous avons généré vingt-quatre syndromes, ajouté les hospitalisations et les décès et construit une base de données syndromique, la Base du Bien Vieillir (BBV) . Ce système d’informations d’un nouveau type a permis la constitution d’une cohorte de santé publique à partir de la population des résidents de la BBV et l’organisation d’un suivi longitudinal syndromique de celle-ci. La BBV a également été évaluée scientifiquement dans un cadre de surveillance et de recherche en santé publique au travers d’une analyse de l’existant : contenu, périodicité, qualité des données. La cohorte construite a ainsi permis la constitution d’un outil de surveillance. Cet échantillon de population a été suivi en temps réel au moyen des fréquences quotidiennes… Advisors/Committee Members: Josseran, Loïc (thesis director).

Subjects/Keywords: Enregistrement électronique de santé; Requêtes SQL; Santé publique; Système de surveillance syndromique; Text mining; Ehpad; Electronic health record; SQL requests; Public health; Syndromic surveillance system; Text mining; Nursing home; 614.4

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Delespierre, T. (2018). Du dossier résident informatisé à la recherche en santé publique : Application des méthodes de surveillance en temps réel à des données médico-sociales de la personne âgée et exploration de données de cohorte pour la santé publique. : From a nursing home electronic resident data warehouse to public health research : Applying public health surveillance systems methods to a real time long term care database and building a resident cohort study. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2018SACLV030

Chicago Manual of Style (16^th Edition):

Delespierre, Tiba. “Du dossier résident informatisé à la recherche en santé publique : Application des méthodes de surveillance en temps réel à des données médico-sociales de la personne âgée et exploration de données de cohorte pour la santé publique. : From a nursing home electronic resident data warehouse to public health research : Applying public health surveillance systems methods to a real time long term care database and building a resident cohort study.” 2018. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed January 22, 2021. http://www.theses.fr/2018SACLV030.

MLA Handbook (7^th Edition):

Delespierre, Tiba. “Du dossier résident informatisé à la recherche en santé publique : Application des méthodes de surveillance en temps réel à des données médico-sociales de la personne âgée et exploration de données de cohorte pour la santé publique. : From a nursing home electronic resident data warehouse to public health research : Applying public health surveillance systems methods to a real time long term care database and building a resident cohort study.” 2018. Web. 22 Jan 2021.

Vancouver:

Delespierre T. Du dossier résident informatisé à la recherche en santé publique : Application des méthodes de surveillance en temps réel à des données médico-sociales de la personne âgée et exploration de données de cohorte pour la santé publique. : From a nursing home electronic resident data warehouse to public health research : Applying public health surveillance systems methods to a real time long term care database and building a resident cohort study. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2018. [cited 2021 Jan 22]. Available from: http://www.theses.fr/2018SACLV030.

Council of Science Editors:

Delespierre T. Du dossier résident informatisé à la recherche en santé publique : Application des méthodes de surveillance en temps réel à des données médico-sociales de la personne âgée et exploration de données de cohorte pour la santé publique. : From a nursing home electronic resident data warehouse to public health research : Applying public health surveillance systems methods to a real time long term care database and building a resident cohort study. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2018. Available from: http://www.theses.fr/2018SACLV030

24. Bouzillé, Guillaume. Enjeux et place des data sciences dans le champ de la réutilisation secondaire des données massives cliniques : une approche basée sur des cas d’usage : Issues and place of the data sciences for reusing clinical big data : a case-based study.

Degree: Docteur es, Analyse et traitement de l’information et des images médicales, 2019, Rennes 1

URL: http://www.theses.fr/2019REN1B023

►

La dématérialisation des données de santé a permis depuis plusieurs années de constituer un véritable gisement de données provenant de tous les domaines de la… (more)

▼

La dématérialisation des données de santé a permis depuis plusieurs années de constituer un véritable gisement de données provenant de tous les domaines de la santé. Ces données ont pour caractéristiques d’être très hétérogènes et d’être produites à différentes échelles et dans différents domaines. Leur réutilisation dans le cadre de la recherche clinique, de la santé publique ou encore de la prise en charge des patients implique de développer des approches adaptées reposant sur les méthodes issues de la science des données. L’objectif de cette thèse est d’évaluer au travers de trois cas d’usage, quels sont les enjeux actuels ainsi que la place des data sciences pour l’exploitation des données massives en santé. La démarche utilisée pour répondre à cet objectif consiste dans une première partie à exposer les caractéristiques des données massives en santé et les aspects techniques liés à leur réutilisation. La seconde partie expose les aspects organisationnels permettant l’exploitation et le partage des données massives en santé. La troisième partie décrit les grandes approches méthodologiques en science des données appliquées actuellement au domaine de la santé. Enfin, la quatrième partie illustre au travers de trois exemples l’apport de ces méthodes dans les champs suivant : la surveillance syndromique, la pharmacovigilance et la recherche clinique. Nous discutons enfin les limites et enjeux de la science des données dans le cadre de la réutilisation des données massives en santé.

The dematerialization of health data, which started several years ago, now generates na huge amount of data produced by all actors of health. These data have the characteristics of being very heterogeneous and of being produced at different scales and in different domains. Their reuse in the context of clinical research, public health or patient care involves developing appropriate approaches based on methods from data science. The aim of this thesis is to evaluate, through three use cases, what are the current issues as well as the place of data sciences regarding the reuse of massive health data. To meet this objective, the first section exposes the characteristics of health big data and the technical aspects related to their reuse. The second section presents the organizational aspects for the exploitation and sharing of health big data. The third section describes the main methodological approaches in data sciences currently applied in the field of health. Finally, the fourth section illustrates, through three use cases, the contribution of these methods in the following fields: syndromic surveillance, pharmacovigilance and clinical research. Finally, we discuss the limits and challenges of data science in the context of health big data.

Advisors/Committee Members: Cuggia, Marc (thesis director).

Subjects/Keywords: Réutilisation secondaire des données; Données massives en santé; Sciences des données; Surveillance syndromique; Recherche clinique; Pharmacovigilance; Data reuse; Health big data; Data sciences; Syndromic surveillance; Clinical research; Drug safety

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Bouzillé, G. (2019). Enjeux et place des data sciences dans le champ de la réutilisation secondaire des données massives cliniques : une approche basée sur des cas d’usage : Issues and place of the data sciences for reusing clinical big data : a case-based study. (Doctoral Dissertation). Rennes 1. Retrieved from http://www.theses.fr/2019REN1B023

Chicago Manual of Style (16^th Edition):

Bouzillé, Guillaume. “Enjeux et place des data sciences dans le champ de la réutilisation secondaire des données massives cliniques : une approche basée sur des cas d’usage : Issues and place of the data sciences for reusing clinical big data : a case-based study.” 2019. Doctoral Dissertation, Rennes 1. Accessed January 22, 2021. http://www.theses.fr/2019REN1B023.

MLA Handbook (7^th Edition):

Bouzillé, Guillaume. “Enjeux et place des data sciences dans le champ de la réutilisation secondaire des données massives cliniques : une approche basée sur des cas d’usage : Issues and place of the data sciences for reusing clinical big data : a case-based study.” 2019. Web. 22 Jan 2021.

Vancouver:

Bouzillé G. Enjeux et place des data sciences dans le champ de la réutilisation secondaire des données massives cliniques : une approche basée sur des cas d’usage : Issues and place of the data sciences for reusing clinical big data : a case-based study. [Internet] [Doctoral dissertation]. Rennes 1; 2019. [cited 2021 Jan 22]. Available from: http://www.theses.fr/2019REN1B023.

Council of Science Editors:

Bouzillé G. Enjeux et place des data sciences dans le champ de la réutilisation secondaire des données massives cliniques : une approche basée sur des cas d’usage : Issues and place of the data sciences for reusing clinical big data : a case-based study. [Doctoral Dissertation]. Rennes 1; 2019. Available from: http://www.theses.fr/2019REN1B023

25. Poirier, Canelle. Modèles statistiques pour les systèmes d'aide à la décision basés sur la réutilisation des données massives en santé : application à la surveillance syndromique en santé publique : Statistical models for decision support systems based on the reuse of Health Big Data : application to syndromic surveillance in public health.

Degree: Docteur es, Génétique, génomique, bioinformatique, 2019, Rennes 1

URL: http://www.theses.fr/2019REN1B019

►

Depuis plusieurs années, la notion de Big Data s'est largement développée. Afin d'analyser et explorer toutes ces données, il a été nécessaire de concevoir de… (more)

▼

Depuis plusieurs années, la notion de Big Data s'est largement développée. Afin d'analyser et explorer toutes ces données, il a été nécessaire de concevoir de nouvelles méthodes et de nouvelles technologies. Aujourd'hui, le Big Data existe également dans le domaine de la santé. Les hôpitaux en particulier, participent à la production de données grâce à l'adoption du dossier patient électronique. L'objectif de cette thèse a été de développer des méthodes statistiques réutilisant ces données afin de participer à la surveillance syndromique et d'apporter une aide à la décision. Cette étude comporte 4 axes majeurs. Tout d'abord, nous avons montré que les données massives hospitalières étaient très corrélées aux signaux des réseaux de surveillance traditionnels. Dans un second temps, nous avons établi que les données hospitalières permettaient d'obtenir des estimations en temps réel plus précises que les données du web, et que les modèles SVM et Elastic Net avaient des performances comparables. Puis, nous avons appliqué des méthodes développées aux Etats-Unis réutilisant les données hospitalières, les données du web (Google et Twitter) et les données climatiques afin de prévoir à 2 semaines les taux d'incidence grippaux de toutes les régions françaises. Enfin, les méthodes développées ont été appliquées à la prévision à 3 semaines des cas de gastro-entérite au niveau national, régional, et hospitalier.

Over the past few years, the Big Data concept has been widely developed. In order to analyse and explore all this data, it was necessary to develop new methods and technologies. Today, Big Data also exists in the health sector. Hospitals in particular are involved in data production through the adoption of electronic health records. The objective of this thesis was to develop statistical methods reusing these data in order to participate in syndromic surveillance and to provide decision-making support. This study has 4 major axes. First, we showed that hospital Big Data were highly correlated with signals from traditional surveillance networks. Secondly, we showed that hospital data allowed to obtain more accurate estimates in real time than web data, and SVM and Elastic Net models had similar performances. Then, we applied methods developed in United States reusing hospital data, web data (Google and Twitter) and climatic data to predict influenza incidence rates for all French regions up to 2 weeks. Finally, methods developed were applied to the 3-week forecast for cases of gastroenteritis at the national, regional and hospital levels.

Advisors/Committee Members: Bertaud-Gounot, Valérie (thesis director), Lavenu, Audrey (thesis director).

Subjects/Keywords: Données massives; Machine learning; Modélisation statistique; Surveillance syndromique; Aide à la décision; Santé publique; Big data; Machine learning; Statistical modelling; Syndromic surveillance; Decision support; Public Health

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Poirier, C. (2019). Modèles statistiques pour les systèmes d'aide à la décision basés sur la réutilisation des données massives en santé : application à la surveillance syndromique en santé publique : Statistical models for decision support systems based on the reuse of Health Big Data : application to syndromic surveillance in public health. (Doctoral Dissertation). Rennes 1. Retrieved from http://www.theses.fr/2019REN1B019

Chicago Manual of Style (16^th Edition):

Poirier, Canelle. “Modèles statistiques pour les systèmes d'aide à la décision basés sur la réutilisation des données massives en santé : application à la surveillance syndromique en santé publique : Statistical models for decision support systems based on the reuse of Health Big Data : application to syndromic surveillance in public health.” 2019. Doctoral Dissertation, Rennes 1. Accessed January 22, 2021. http://www.theses.fr/2019REN1B019.

MLA Handbook (7^th Edition):

Poirier, Canelle. “Modèles statistiques pour les systèmes d'aide à la décision basés sur la réutilisation des données massives en santé : application à la surveillance syndromique en santé publique : Statistical models for decision support systems based on the reuse of Health Big Data : application to syndromic surveillance in public health.” 2019. Web. 22 Jan 2021.

Vancouver:

Poirier C. Modèles statistiques pour les systèmes d'aide à la décision basés sur la réutilisation des données massives en santé : application à la surveillance syndromique en santé publique : Statistical models for decision support systems based on the reuse of Health Big Data : application to syndromic surveillance in public health. [Internet] [Doctoral dissertation]. Rennes 1; 2019. [cited 2021 Jan 22]. Available from: http://www.theses.fr/2019REN1B019.

Council of Science Editors:

Poirier C. Modèles statistiques pour les systèmes d'aide à la décision basés sur la réutilisation des données massives en santé : application à la surveillance syndromique en santé publique : Statistical models for decision support systems based on the reuse of Health Big Data : application to syndromic surveillance in public health. [Doctoral Dissertation]. Rennes 1; 2019. Available from: http://www.theses.fr/2019REN1B019

26. Veldhuis, A.M.B. Surveillance of emerging diseases in cattle : Application to the Schmallenberg virus epidemic in the Netherlands.

Degree: 2016, University Utrecht

URL: https://dspace.library.uu.nl/handle/1874/339515 ; URN:NBN:NL:UI:10-1874-339515 ; 1874/339515 ; urn:isbn:9789039366028 ; URN:NBN:NL:UI:10-1874-339515 ; https://dspace.library.uu.nl/handle/1874/339515

► Animal health surveillance is an essential component to protect animal health, facilitate trade, and protect public health. Reliable surveillance systems are able to rapidly identify… (more)

Subjects/Keywords: Surveillance; cattle health; Schmallenberg virus epidemic; emerging disease; syndromic surveillance

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Veldhuis, A. M. B. (2016). Surveillance of emerging diseases in cattle : Application to the Schmallenberg virus epidemic in the Netherlands. (Doctoral Dissertation). University Utrecht. Retrieved from https://dspace.library.uu.nl/handle/1874/339515 ; URN:NBN:NL:UI:10-1874-339515 ; 1874/339515 ; urn:isbn:9789039366028 ; URN:NBN:NL:UI:10-1874-339515 ; https://dspace.library.uu.nl/handle/1874/339515

Chicago Manual of Style (16^th Edition):

Veldhuis, A M B. “Surveillance of emerging diseases in cattle : Application to the Schmallenberg virus epidemic in the Netherlands.” 2016. Doctoral Dissertation, University Utrecht. Accessed January 22, 2021. https://dspace.library.uu.nl/handle/1874/339515 ; URN:NBN:NL:UI:10-1874-339515 ; 1874/339515 ; urn:isbn:9789039366028 ; URN:NBN:NL:UI:10-1874-339515 ; https://dspace.library.uu.nl/handle/1874/339515.

MLA Handbook (7^th Edition):

Veldhuis, A M B. “Surveillance of emerging diseases in cattle : Application to the Schmallenberg virus epidemic in the Netherlands.” 2016. Web. 22 Jan 2021.

Vancouver:

Veldhuis AMB. Surveillance of emerging diseases in cattle : Application to the Schmallenberg virus epidemic in the Netherlands. [Internet] [Doctoral dissertation]. University Utrecht; 2016. [cited 2021 Jan 22]. Available from: https://dspace.library.uu.nl/handle/1874/339515 ; URN:NBN:NL:UI:10-1874-339515 ; 1874/339515 ; urn:isbn:9789039366028 ; URN:NBN:NL:UI:10-1874-339515 ; https://dspace.library.uu.nl/handle/1874/339515.

Council of Science Editors:

Veldhuis AMB. Surveillance of emerging diseases in cattle : Application to the Schmallenberg virus epidemic in the Netherlands. [Doctoral Dissertation]. University Utrecht; 2016. Available from: https://dspace.library.uu.nl/handle/1874/339515 ; URN:NBN:NL:UI:10-1874-339515 ; 1874/339515 ; urn:isbn:9789039366028 ; URN:NBN:NL:UI:10-1874-339515 ; https://dspace.library.uu.nl/handle/1874/339515

27. Faverjon, Céline. Risk based surveillance for vector-borne diseases in horses : combining multiple sources of evidence to improve decision making.

Degree: 2017, University Utrecht

URL: https://dspace.library.uu.nl/handle/1874/348457 ; URN:NBN:NL:UI:10-1874-348457 ; 1874/348457 ; URN:NBN:NL:UI:10-1874-348457 ; https://dspace.library.uu.nl/handle/1874/348457

► Emerging vector-borne diseases are a growing concern, especially for horse populations, which are at particular risk for disease spread. In general, horses travel widely and… (more)

▼ Emerging vector-borne diseases are a growing concern, especially for horse populations, which are at particular risk for disease spread. In general, horses travel widely and frequently and, despite the health and economic impacts of equine diseases, effective health regulations and biosecurity systems to ensure safe equine movements are not always in place. The present work proposes to improve the surveillance of vector-borne diseases in horses through the use of different approaches that assess the probability of occurrence of a newly introduced epidemic. First, we developed a spatiotemporal quantitative model which combined various probabilities in order to estimate the risk of introduction of African horse sickness and equine encephalosis in The Netherlands and in France. Such combinations of risk provided more a detailed picture of the true risk posed by these pathogens. Second, we assessed syndromic surveillance systems using two approaches: a classical approach with the alarm threshold based on the standard error of prediction, and a Bayesian approach based on a likelihood ratio. We focused particularly on the early detection of West Nile virus using reports of nervous symptoms in horses. Both approaches provided interesting results but Bayes’ rule was especially useful as it provided a quantitative output and was able to combine different epidemiological information. Finally, a Bayesian approach was also used to quantitatively combine various sources of risk estimation in a multivariate syndromic surveillance system (applied to West Nile virus in South of France). Combining evidence provided promising results. This work, based on risk estimations, strengthens the surveillance of VBDs in horses and can support public health decision making. It also, however, highlights the need to improve data collection and data sharing, to implement full performance assessments of complex surveillance systems, and to use effective communication and training to promote the adoption of these approaches. Advisors/Committee Members: Stegeman, Arjan, Leblond, A., de Koeijer, A., Fischer, Egil.

Subjects/Keywords: syndromic surveillance; equine; quantitative risk analysis; vector-borne diseases; risk-based surveillance

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Faverjon, C. (2017). Risk based surveillance for vector-borne diseases in horses : combining multiple sources of evidence to improve decision making. (Doctoral Dissertation). University Utrecht. Retrieved from https://dspace.library.uu.nl/handle/1874/348457 ; URN:NBN:NL:UI:10-1874-348457 ; 1874/348457 ; URN:NBN:NL:UI:10-1874-348457 ; https://dspace.library.uu.nl/handle/1874/348457

Chicago Manual of Style (16^th Edition):

Faverjon, Céline. “Risk based surveillance for vector-borne diseases in horses : combining multiple sources of evidence to improve decision making.” 2017. Doctoral Dissertation, University Utrecht. Accessed January 22, 2021. https://dspace.library.uu.nl/handle/1874/348457 ; URN:NBN:NL:UI:10-1874-348457 ; 1874/348457 ; URN:NBN:NL:UI:10-1874-348457 ; https://dspace.library.uu.nl/handle/1874/348457.

MLA Handbook (7^th Edition):

Faverjon, Céline. “Risk based surveillance for vector-borne diseases in horses : combining multiple sources of evidence to improve decision making.” 2017. Web. 22 Jan 2021.

Vancouver:

Faverjon C. Risk based surveillance for vector-borne diseases in horses : combining multiple sources of evidence to improve decision making. [Internet] [Doctoral dissertation]. University Utrecht; 2017. [cited 2021 Jan 22]. Available from: https://dspace.library.uu.nl/handle/1874/348457 ; URN:NBN:NL:UI:10-1874-348457 ; 1874/348457 ; URN:NBN:NL:UI:10-1874-348457 ; https://dspace.library.uu.nl/handle/1874/348457.

Council of Science Editors:

Faverjon C. Risk based surveillance for vector-borne diseases in horses : combining multiple sources of evidence to improve decision making. [Doctoral Dissertation]. University Utrecht; 2017. Available from: https://dspace.library.uu.nl/handle/1874/348457 ; URN:NBN:NL:UI:10-1874-348457 ; 1874/348457 ; URN:NBN:NL:UI:10-1874-348457 ; https://dspace.library.uu.nl/handle/1874/348457

28. Faverjon, Céline. Risk based surveillance for vector-borne diseases in horses : combining multiple sources of evidence to improve decision making : La surveillance basée sur le risque des maladies à transmission vectorielle chez les chevaux : combinaison de plusieurs sources de données pour améliorer la prise de décision.

Degree: Docteur es, Epidémiologie, 2015, Université Blaise-Pascale, Clermont-Ferrand II

URL: http://www.theses.fr/2015CLF22604

►

Les maladies émergentes à transmission vectorielle sont une préoccupation croissante et particulièrement lorsqu’elles affectent les chevaux, une population spécifiquement à risque vis-à-vis de la propagation… (more)

▼

Les maladies émergentes à transmission vectorielle sont une préoccupation croissante et particulièrement lorsqu’elles affectent les chevaux, une population spécifiquement à risque vis-à-vis de la propagation de maladies. En effet, les chevaux voyagent fréquemment et, malgré l’impact sanitaire et économique des maladies équines, les règlementations sanitaires et les principes de biosécurité et de traçabilité censés assurer la sécurité des mouvements d'équidés ne sont pas toujours en place. Notre travail propose d'améliorer la surveillance des maladies à transmission vectorielle chez les chevaux en utilisant différentes méthodes pour estimer la probabilité d'émergence d'une maladie. Tout d'abord, nous avons développé un modèle quantitatif et spatio-temporel combinant différentes probabilités pour estimer les risques d'introduction de la peste équine et de l’encéphalose équine. Ces combinaisons permettent d’obtenir une image plus détaillée du risque posé par ces agents pathogènes. Nous avons ensuite évalué des systèmes de surveillance syndromique par deux approches méthodologiques: l'approche classique avec un seuil d'alarme basé sur un multiple de l'erreur standard de prédiction, et l'approche bayésienne basée sur le rapport de vraisemblance. Nous avons travaillé ici principalement sur la détection précoce du virus West Nile en utilisant les symptômes nerveux des chevaux. Les deux approches ont fourni des résultats prometteurs, mais l’approche bayésienne était particulièrement intéressante pour obtenir un résultat quantitatif et pour combiner différentes informations épidémiologiques. Pour finir, l'approche bayésienne a été utilisée pour combiner quantitativement différentes sources d'estimation du risque : surveillance syndromique multivariée, et combinaison de la surveillance syndromique avec les résultats d’analyses de risques. Ces combinaisons ont données des résultats prometteurs. Ce travail, basé sur des estimations de risque, contribue à améliorer la surveillance des maladies à transmission vectorielle chez les chevaux et facilite la prise de décision. Les principales perspectives de ce travail sont d'améliorer la collecte et le partage de données, de mettre en oeuvre une évaluation complète des performances des systèmes de surveillance multivariés, et de favoriser l'adoption de ce genre d’approche par les décideurs en utilisant une interface conviviale et en mettant en place un transfert de connaissance.

Emerging vector-borne diseases are a growing concern, especially for horse populations, which are at particular risk for disease spread. In general, horses travel widely and frequently and, despite the health and economic impacts of equine diseases, effective health regulations and biosecurity systems to ensure safe equine movements are not always in place. The present work proposes to improve the surveillance of vector-borne diseases in horses through the use of different approaches that assess the probability of occurrence of a newly introduced epidemic. First, we developed a spatiotemporal quantitative…

Advisors/Committee Members: Leblond, Agnès (thesis director), Koeijer, Aline de (thesis director).

Subjects/Keywords: Surveillance syndromique; West Nile; Analyse de risques quantitative; Peste équine; Encéphalose équine; Maladies à transmission vectorielle; Surveillance basée sur le risque; Syndromic surveillance; West Nile; Quantitative risk analysis; African horse sickness; Equine encephalosis; Vector-borne diseases; Risk-based surveillance

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Faverjon, C. (2015). Risk based surveillance for vector-borne diseases in horses : combining multiple sources of evidence to improve decision making : La surveillance basée sur le risque des maladies à transmission vectorielle chez les chevaux : combinaison de plusieurs sources de données pour améliorer la prise de décision. (Doctoral Dissertation). Université Blaise-Pascale, Clermont-Ferrand II. Retrieved from http://www.theses.fr/2015CLF22604

Chicago Manual of Style (16^th Edition):

Faverjon, Céline. “Risk based surveillance for vector-borne diseases in horses : combining multiple sources of evidence to improve decision making : La surveillance basée sur le risque des maladies à transmission vectorielle chez les chevaux : combinaison de plusieurs sources de données pour améliorer la prise de décision.” 2015. Doctoral Dissertation, Université Blaise-Pascale, Clermont-Ferrand II. Accessed January 22, 2021. http://www.theses.fr/2015CLF22604.

MLA Handbook (7^th Edition):

Faverjon, Céline. “Risk based surveillance for vector-borne diseases in horses : combining multiple sources of evidence to improve decision making : La surveillance basée sur le risque des maladies à transmission vectorielle chez les chevaux : combinaison de plusieurs sources de données pour améliorer la prise de décision.” 2015. Web. 22 Jan 2021.

Vancouver:

Faverjon C. Risk based surveillance for vector-borne diseases in horses : combining multiple sources of evidence to improve decision making : La surveillance basée sur le risque des maladies à transmission vectorielle chez les chevaux : combinaison de plusieurs sources de données pour améliorer la prise de décision. [Internet] [Doctoral dissertation]. Université Blaise-Pascale, Clermont-Ferrand II; 2015. [cited 2021 Jan 22]. Available from: http://www.theses.fr/2015CLF22604.

Council of Science Editors:

Faverjon C. Risk based surveillance for vector-borne diseases in horses : combining multiple sources of evidence to improve decision making : La surveillance basée sur le risque des maladies à transmission vectorielle chez les chevaux : combinaison de plusieurs sources de données pour améliorer la prise de décision. [Doctoral Dissertation]. Université Blaise-Pascale, Clermont-Ferrand II; 2015. Available from: http://www.theses.fr/2015CLF22604

29. Gerbier-Colomban, Solweig. Étude de faisabilité d'un système de détection automatique des patients à risque épidémique à partir des données du dossier médical informatisé des urgences : Evaluation of an automatic detection system of patients with potentially transmissible infectious disease from emergency department computerized record.

Degree: Docteur es, Santé publique. Épidémiologie, 2012, Université Claude Bernard – Lyon I

URL: http://www.theses.fr/2012LYO10327

►

Introduction. La détection précoce des infections par un système de surveillance efficace permet de mettre en œuvre des mesures de prévention et de contrôle adaptées.… (more)

▼

Introduction. La détection précoce des infections par un système de surveillance efficace permet de mettre en œuvre des mesures de prévention et de contrôle adaptées. L’objectif de cette thèse était d’évaluer les performances d’un système de détection automatique, type syndromique, des patients à risque épidémique à partir des données du dossier médical informatisé des urgences. Population d’étude. 101001 patients ayant consulté aux urgences du groupement Nord des Hospices Civils de Lyon, entre le 01/06/2007 et le 31/03/2011, dont 10895 patients hospitalisés dans l’établissement à l’issue de la consultation. Méthode. Trois étapes ont été nécessaires. 1) Évaluation de la faisabilité d’utiliser les données structurées et textuelles, à l’aide d’une application de traitement automatisé des données textuelles. 2) Construction et évaluation d’algorithmes de repérage, pour les syndromes respiratoire, cutané et gastro-intestinal, de patients avec une infection à risque épidémique à partir des données du dossier médical informatisé des urgences. 3) Évaluation des données du dossier médical des urgences pour la détection d’épidémies communautaires de grippe, comparées aux données régionales de surveillance de la grippe. Résultats et Discussion. Cette thèse a montré que qu’il est possible de repérer des patients à risque épidémique avec une balance raisonnable entre la sensibilité et la spécificité pour des syndromes respiratoires et cutanés. Les algorithmes pour des syndromes gastro-intestinaux n'étaient pas assez spécifiques pour une utilisation de routine. Les données d’urgences ont permis aussi de détecter les épidémies communautaires dès le début de l’épidémie locale

Introduction. The early detection of the infections by an effective surveillance system allows implementing adapted measures of prevention and control. The objective of this thesis was to estimate the performances of an automatic system syndromic-like to detect the patients with potentially transmissible infectious diseases from the emergency department computerized medical record data. Study population. 101,001 adults, who were admitted to the emergency department and hospitalised of the North Hospital In University Hospital of Lyon, between 01/06/2007 and 30/03/2011. Method. Three steps were necessary. 1) Evaluation of the feasibility to use the structured and textual data with an application which automatically extracts and encodes information found in narrative reports. 2) Different algorithms were built for the detection of patients with infectious respiratory, cutaneous or gastrointestinal syndromes, and assessed. 3) Evaluation of the data of the electronic medical record of emergency department for the detection of flu community epidemics, compared with regional surveillance networks for flu. Results and discussion. This thesis showed that it is possible to detect patients with potentially transmissible infectious diseases with reasonable balance between sensitivity and specificity for respiratory and cutaneous syndromes. The algorithms for…

Advisors/Committee Members: Metzger, Marie-Hélène (thesis director).

Subjects/Keywords: Surveillance épidémiologique; Surveillance syndromique; Sensibilité; Spécificité; Infections associées aux soins; Infections communautaires; Précautions complémentaires; Épidémie; Population surveillance; Syndromic surveillance; Sensitivity; Specificity; Hospital acquired infections; Community acquired infections; Transmission-based precautions; Outbreaks; 614.4

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Gerbier-Colomban, S. (2012). Étude de faisabilité d'un système de détection automatique des patients à risque épidémique à partir des données du dossier médical informatisé des urgences : Evaluation of an automatic detection system of patients with potentially transmissible infectious disease from emergency department computerized record. (Doctoral Dissertation). Université Claude Bernard – Lyon I. Retrieved from http://www.theses.fr/2012LYO10327

Chicago Manual of Style (16^th Edition):

Gerbier-Colomban, Solweig. “Étude de faisabilité d'un système de détection automatique des patients à risque épidémique à partir des données du dossier médical informatisé des urgences : Evaluation of an automatic detection system of patients with potentially transmissible infectious disease from emergency department computerized record.” 2012. Doctoral Dissertation, Université Claude Bernard – Lyon I. Accessed January 22, 2021. http://www.theses.fr/2012LYO10327.

MLA Handbook (7^th Edition):

Gerbier-Colomban, Solweig. “Étude de faisabilité d'un système de détection automatique des patients à risque épidémique à partir des données du dossier médical informatisé des urgences : Evaluation of an automatic detection system of patients with potentially transmissible infectious disease from emergency department computerized record.” 2012. Web. 22 Jan 2021.

Vancouver:

Gerbier-Colomban S. Étude de faisabilité d'un système de détection automatique des patients à risque épidémique à partir des données du dossier médical informatisé des urgences : Evaluation of an automatic detection system of patients with potentially transmissible infectious disease from emergency department computerized record. [Internet] [Doctoral dissertation]. Université Claude Bernard – Lyon I; 2012. [cited 2021 Jan 22]. Available from: http://www.theses.fr/2012LYO10327.

Council of Science Editors:

Gerbier-Colomban S. Étude de faisabilité d'un système de détection automatique des patients à risque épidémique à partir des données du dossier médical informatisé des urgences : Evaluation of an automatic detection system of patients with potentially transmissible infectious disease from emergency department computerized record. [Doctoral Dissertation]. Université Claude Bernard – Lyon I; 2012. Available from: http://www.theses.fr/2012LYO10327

Universidade de Brasília

30. Maria Paula Gomes Mourão. Abordagem sindrômica de doenças febris agudas : a experiência de uma unidade terciária de saúde do estado do Amazonas.

Degree: 2007, Universidade de Brasília

URL: http://bdtd.bce.unb.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2203

► Grande parte dos sistemas de vigilância epidemiológica implantados consiste em modelos passivos de notificação de agravos. Todavia, os casos notificados são, em geral, aqueles clinicamente… (more)

▼ Grande parte dos sistemas de vigilância epidemiológica implantados consiste em modelos passivos de notificação de agravos. Todavia, os casos notificados são, em geral, aqueles clinicamente mais exuberantes e, conseqüentemente, mais graves, o que descaracteriza o processo de vigilância. A abordagem sindrômica surge, dentro deste contexto, com o objetivo de orientar a conduta clínica, diagnóstica e terapêutica, diante de doenças cujos sinais e sintomas parecem indistinguíveis a priori, e requerem o apoio de uma rede de laboratórios para o diagnóstico etiológico preciso. Em 1998, em Manaus (Amazonas), os países amazônicos, coordenados pela Organização Pan-Americana da Saúde, implantaram uma Rede de Vigilância de Doenças Emergentes da Amazônia, na qual a vigilância sindrômica seria uma das recomendações para o aprimoramento das ações de vigilância. Entretanto, apesar de ser uma estratégia bastante promissora para aplicação em saúde pública, a VS implica investimentos vultuosos e ainda requer estudos para avaliar sua real efetividade, equivalência ou superioridade em relação ao método convencional. Assim, o presente estudo, realizado em Manaus, teve por objetivo descrever e analisar os modelos de abordagem sindrômica para doenças febris agudas, implantados em uma unidade terciária de saúde - a Fundação de Medicina Tropical do Amazonas - em três momentos epidemiológicos distintos (fases A, B e C), entre os anos 2001 e 2005. Fase A: A abordagem da síndrome febril hemorrágica aguda (VSFHA), durante a epidemia de dengue em 2001, possibilitou a organização dos serviços de saúde destinados à assistência dos pacientes com suspeita de dengue, a padronização da conduta médica e, conseqüentemente, a ausência de óbitos no centro de referência. Além disso, apresentou sensibilidade estimada de 100% para a captação dos casos potencialmente graves e permitiu a detecção precoce da febre hemorrágica e de formas atípicas de dengue. Fase B: A abordagem da síndrome febril ictérica e/ou hemorrágica aguda (VSFIHA), implantada entre os anos 2003 e 2005, em período sem a detecção de epidemias, proporcionou a redução do percentual de casos sem definição etiológica e a identificação do primeiro caso confirmado de hantavirose no Amazonas, representando um avanço no monitoramento de doenças emergentes nesta região. Porém, a ficha de notificação de SFIHA não foi útil para a detecção dos casos, apresentando baixa aceitabilidade entre os profissionais de saúde e, possivelmente, levando à sub-notificação. Fase C: A vigilância do dengue a partir da abordagem da síndrome febril aguda (VSFA), realizada no ano de 2005, em um período inter-epidêmico, pode ser um instrumento eficiente para o monitoramento de epidemias de dengue e da circulação de novos sorotipos virais. A apresentação clínica das infecções por dengue e malária foi muito semelhante na população estudada, o que confirma a importância da realização sistemática da pesquisa de plasmódio, pelo método da gota espessa de sangue, para todo paciente febril, na área tropical. Este trabalho contribui… Advisors/Committee Members: Ivo Castelo Branco Coêlho, João Barberino Santos, Pedro Luiz Tauil, Keyla Belizia Feldman Marzochi, Luiz Tadeu Moraes Figueiredo.

Subjects/Keywords: Doenças - Amazonas; Dengue fever; Medicina tropical; DOENCAS INFECCIOSAS E PARASITARIAS; Syndromic surveillance; Infectious diseases; Fever; Amazonas; Vigilância epidemiológica; Saúde; Tropical Medicine; Dengue

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Mourão, M. P. G. (2007). Abordagem sindrômica de doenças febris agudas : a experiência de uma unidade terciária de saúde do estado do Amazonas. (Thesis). Universidade de Brasília. Retrieved from http://bdtd.bce.unb.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2203

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Mourão, Maria Paula Gomes. “Abordagem sindrômica de doenças febris agudas : a experiência de uma unidade terciária de saúde do estado do Amazonas.” 2007. Thesis, Universidade de Brasília. Accessed January 22, 2021. http://bdtd.bce.unb.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2203.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Mourão, Maria Paula Gomes. “Abordagem sindrômica de doenças febris agudas : a experiência de uma unidade terciária de saúde do estado do Amazonas.” 2007. Web. 22 Jan 2021.

Vancouver:

Mourão MPG. Abordagem sindrômica de doenças febris agudas : a experiência de uma unidade terciária de saúde do estado do Amazonas. [Internet] [Thesis]. Universidade de Brasília; 2007. [cited 2021 Jan 22]. Available from: http://bdtd.bce.unb.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2203.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mourão MPG. Abordagem sindrômica de doenças febris agudas : a experiência de uma unidade terciária de saúde do estado do Amazonas. [Thesis]. Universidade de Brasília; 2007. Available from: http://bdtd.bce.unb.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2203

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

		in
And / Or
		in
And / Or
		in
And / Or
		in

Open Access Theses and Dissertations