subject:(infectious disease model)

1. Li, Michael. METHODS FOR MODELING THE SPREAD OF INFECTIOUS DISEASE.

Degree: PhD, 2019, McMaster University

►

Mathematical and statistical models are widely used in studying infectious disease. They provide important insights – including mechanisms of the spread of infectious disease, forecast… (more)

Subjects/Keywords: infectious disease; rabies; mathematical model; epidemiology

7 more images…

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Li, M. (2019). METHODS FOR MODELING THE SPREAD OF INFECTIOUS DISEASE. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/24945

Chicago Manual of Style (16^th Edition):

Li, Michael. “METHODS FOR MODELING THE SPREAD OF INFECTIOUS DISEASE.” 2019. Doctoral Dissertation, McMaster University. Accessed January 22, 2021. http://hdl.handle.net/11375/24945.

MLA Handbook (7^th Edition):

Li, Michael. “METHODS FOR MODELING THE SPREAD OF INFECTIOUS DISEASE.” 2019. Web. 22 Jan 2021.

Vancouver:

Li M. METHODS FOR MODELING THE SPREAD OF INFECTIOUS DISEASE. [Internet] [Doctoral dissertation]. McMaster University; 2019. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/11375/24945.

Council of Science Editors:

Li M. METHODS FOR MODELING THE SPREAD OF INFECTIOUS DISEASE. [Doctoral Dissertation]. McMaster University; 2019. Available from: http://hdl.handle.net/11375/24945

University of Wollongong

2. Ly, Diane Thuyvi. Interaction of Group A Streptococcus and the plasminogen activation system in invasive disease.

Degree: PhD, 2016, University of Wollongong

URL: 0605 MICROBIOLOGY ; https://ro.uow.edu.au/theses/4806

► Group A Streptococcus (GAS; group A streptococci; Streptococcus pyogenes) is a globally significant bacterial pathogen. The primary biological host for GAS is humans, and… (more)

▼ Group A Streptococcus (GAS; group A streptococci; Streptococcus pyogenes) is a globally significant bacterial pathogen. The primary biological host for GAS is humans, and GAS is responsible for a plethora of non-invasive and invasive infections. Generally, GAS colonisation of superficial tissue sites, including the epidermal surface of the skin or the mucosal epithelium of the upper respiratory tract, results in non-invasive conditions such as impetigo and pharyngitis. Less commonly, GAS can gain access and disseminate into more sterile tissue areas. This leads to invasive life-threatening conditions, including necrotising fasciitis and streptococcal toxic shock syndrome, which involve destruction of the skin and soft tissue. Infection with GAS can also give rise to delayed nonsuppurative sequelae, such as rheumatic fever and acute glomerulonephritis, which are responsible for high rates of morbidity and mortality worldwide. The last comprehensive study assessing the global impact of diseases attributable to GAS estimated over 500,000 deaths per annum, placing this bacterium among the world’s most significant human pathogens. In the past few decades, there has been an increase in the severity and incidence of invasive GAS disease in Western countries, though currently it remains endemic in developing nations and Indigenous populations. Subversion of the host plasminogen activation system is critical for streptococcal virulence. Central to this system is the blood-circulating zymogen plasminogen, that is activated to plasmin by host activators, urokinase plasminogen activator (uPA) or tissue plasminogen activator (tPA), as well as by bacterial activators, including the secreted GAS protein streptokinase. GAS recruits plasminogen to the bacterial cell surface via multiple cell surface receptors, and activation of bound plasminogen results in plasmin-coated GAS. Under physiological conditions, plasmin is strictly regulated by circulating inhibitors such as α2-antiplasmin, however under certain circumstances, plasmin localised at the GAS cell surface is protected from inhibition. Consequently, GAS can acquire an unregulated source of potent proteolytic activity at its cell surface, which is believed to facilitate the breakdown of host tissue barriers and extracellular matrix components (ECM). The human innate immune system serves as a protective shield against invading microbes during the early stages of infection. Plasmin-mediated immune evasion has recently emerged as a key mechanism in bacterial pathogenesis. In order to establish systemic infection, GAS must overcome the bactericidal effects of complement, a fundamental component of the innate immune response. A number of human pathogens have thwarted the complement system via either binding plasminogen directly to the cell surface or expressing plasminogen activators; both mechanisms result in proteolytic plasmin activity. Bacterial-generated plasmin has been shown to degrade essential components of the complement system, thereby preventing…

Subjects/Keywords: Streptococcus pyogenes; plasmin(ogen); infectious disease; animal disease model; complement

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Ly, D. T. (2016). Interaction of Group A Streptococcus and the plasminogen activation system in invasive disease. (Doctoral Dissertation). University of Wollongong. Retrieved from 0605 MICROBIOLOGY ; https://ro.uow.edu.au/theses/4806

Chicago Manual of Style (16^th Edition):

Ly, Diane Thuyvi. “Interaction of Group A Streptococcus and the plasminogen activation system in invasive disease.” 2016. Doctoral Dissertation, University of Wollongong. Accessed January 22, 2021. 0605 MICROBIOLOGY ; https://ro.uow.edu.au/theses/4806.

MLA Handbook (7^th Edition):

Ly, Diane Thuyvi. “Interaction of Group A Streptococcus and the plasminogen activation system in invasive disease.” 2016. Web. 22 Jan 2021.

Vancouver:

Ly DT. Interaction of Group A Streptococcus and the plasminogen activation system in invasive disease. [Internet] [Doctoral dissertation]. University of Wollongong; 2016. [cited 2021 Jan 22]. Available from: 0605 MICROBIOLOGY ; https://ro.uow.edu.au/theses/4806.

Council of Science Editors:

Ly DT. Interaction of Group A Streptococcus and the plasminogen activation system in invasive disease. [Doctoral Dissertation]. University of Wollongong; 2016. Available from: 0605 MICROBIOLOGY ; https://ro.uow.edu.au/theses/4806

University of Guelph

3. FANG, XUAN. Computational Gains Via a Discretization of the Parameter Space in Individual Level Models of Infectious Disease.

Degree: MS, Department of Mathematics and Statistics, 2012, University of Guelph

URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3276

► The Bayesian Markov Chain Monte Carlo(MCMC) approach to inference is commonly used to estimate the parameters in spatial infectious disease models. However, such MCMC analyses… (more)

Subjects/Keywords: MCMC; Infectious Disease; Individual Level Model; KL-divergence; Computational Gain

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

FANG, X. (2012). Computational Gains Via a Discretization of the Parameter Space in Individual Level Models of Infectious Disease. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3276

Chicago Manual of Style (16^th Edition):

FANG, XUAN. “Computational Gains Via a Discretization of the Parameter Space in Individual Level Models of Infectious Disease.” 2012. Masters Thesis, University of Guelph. Accessed January 22, 2021. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3276.

MLA Handbook (7^th Edition):

FANG, XUAN. “Computational Gains Via a Discretization of the Parameter Space in Individual Level Models of Infectious Disease.” 2012. Web. 22 Jan 2021.

Vancouver:

FANG X. Computational Gains Via a Discretization of the Parameter Space in Individual Level Models of Infectious Disease. [Internet] [Masters thesis]. University of Guelph; 2012. [cited 2021 Jan 22]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3276.

Council of Science Editors:

FANG X. Computational Gains Via a Discretization of the Parameter Space in Individual Level Models of Infectious Disease. [Masters Thesis]. University of Guelph; 2012. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3276

University of Guelph

4. Gold, Jourdan Corey. Computational Inference for Network-based Individual-level Models of Infectious Disease Transmission.

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

URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8701

► Infectious disease data is very often only partially observed; for example, the exact time of infection for an individual is generally missing, or it may… (more)

▼ Infectious disease data is very often only partially observed; for example, the exact time of infection for an individual is generally missing, or it may be measured only approximately due to effects of measurement error. We can account for such data uncertainty in our analysis. However, doing so may cause computational problems. In the first part of this thesis, a simulation study is performed to ascertain the consequences of ignoring infection-time uncertainty. We detail results obtained on the trade-off between model-inferential quality and computation time by using a family of discrete-time heterogeneous infectious disease transmission models known as individual-level models (ILMs). We focus particularly on network-based ILMs fitted by using Markov chain Monte Carlo (MCMC) under a Bayesian framework. Modeling approaches undertaken vary from those under ``fixed data'' assumptions to those under a ``full data augmentation approach''. The impact of applying a misspecified distribution to describe the infectious period distribution is also considered. Methods that may help to overcome the inferential and/or computational issues involved in the use of such models are examined. In the second part, we quantify the ability of aggregated infectious disease transmission data obtained under varying levels of clustering to produce a substantive reduction in computation-time requirements for approximating the posterior distribution while maintaining data quality. Results obtained via different clustering assumptions are compared. We also examine the effect of using different model terms to account for inter-cluster variability when fitting ILMs to aggregated data. We consider the impact of linear effects on the fit as well as the impact when this assumption is relaxed. Finally, an investigation of the effectiveness of various MCMC algorithms in sampling from a series of highly correlated, discrete target distributions is performed. Relative effectiveness of various adaptive multistage MCMC approaches, based upon hybrid combinations of independence samplers, is considered. Results are compared to those obtained from traditional single-stage MCMC algorithms and a direct Monte Carlo method (our gold standard). Root mean square error, mean absolute difference, and effective sample size rate are used to assess and compare performance of these algorithms. Advisors/Committee Members: Deardon, Rob (advisor).

Subjects/Keywords: ILM; Individual-level Model; Bayeisan statistics; infectious disease modeling; MCMC

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Gold, J. C. (2015). Computational Inference for Network-based Individual-level Models of Infectious Disease Transmission. (Doctoral Dissertation). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8701

Chicago Manual of Style (16^th Edition):

Gold, Jourdan Corey. “Computational Inference for Network-based Individual-level Models of Infectious Disease Transmission.” 2015. Doctoral Dissertation, University of Guelph. Accessed January 22, 2021. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8701.

MLA Handbook (7^th Edition):

Gold, Jourdan Corey. “Computational Inference for Network-based Individual-level Models of Infectious Disease Transmission.” 2015. Web. 22 Jan 2021.

Vancouver:

Gold JC. Computational Inference for Network-based Individual-level Models of Infectious Disease Transmission. [Internet] [Doctoral dissertation]. University of Guelph; 2015. [cited 2021 Jan 22]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8701.

Council of Science Editors:

Gold JC. Computational Inference for Network-based Individual-level Models of Infectious Disease Transmission. [Doctoral Dissertation]. University of Guelph; 2015. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8701

University of Guelph

5. Cousins, Melanie. Exploring environmental drivers and potential methods of transmission of Campylobacter in Ontario, Canada using One Health approaches.

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

URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14201

► Enteric illnesses from bacteria such as Campylobacter use the environment as a major reservoir during their transmission between humans and animals. Therefore, this thesis aimed… (more)

Subjects/Keywords: Campylobacter; Environmental drivers; One Health; Infectious disease model; Transmission

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Cousins, M. (2018). Exploring environmental drivers and potential methods of transmission of Campylobacter in Ontario, Canada using One Health approaches. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14201

Chicago Manual of Style (16^th Edition):

Cousins, Melanie. “Exploring environmental drivers and potential methods of transmission of Campylobacter in Ontario, Canada using One Health approaches.” 2018. Masters Thesis, University of Guelph. Accessed January 22, 2021. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14201.

MLA Handbook (7^th Edition):

Cousins, Melanie. “Exploring environmental drivers and potential methods of transmission of Campylobacter in Ontario, Canada using One Health approaches.” 2018. Web. 22 Jan 2021.

Vancouver:

Cousins M. Exploring environmental drivers and potential methods of transmission of Campylobacter in Ontario, Canada using One Health approaches. [Internet] [Masters thesis]. University of Guelph; 2018. [cited 2021 Jan 22]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14201.

Council of Science Editors:

Cousins M. Exploring environmental drivers and potential methods of transmission of Campylobacter in Ontario, Canada using One Health approaches. [Masters Thesis]. University of Guelph; 2018. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14201

University of Georgia

6. Dorea, Fernanda Cetrangolo. Stochastic risk model of highly pathogenic avian influenza spread and impact of biosecurity protocols.

Degree: 2014, University of Georgia

URL: http://hdl.handle.net/10724/25785

► The potential spread of HPAI between commercial broiler farms in Georgia (USA) was mathematically modeled in order to evaluate the impact of different biosecurity measures… (more)

Subjects/Keywords: Highly Pathogenic Avian Influenza; Biosecurity; Infectious Disease Model; Broiler; Poultry

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Dorea, F. C. (2014). Stochastic risk model of highly pathogenic avian influenza spread and impact of biosecurity protocols. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/25785

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):

Dorea, Fernanda Cetrangolo. “Stochastic risk model of highly pathogenic avian influenza spread and impact of biosecurity protocols.” 2014. Thesis, University of Georgia. Accessed January 22, 2021. http://hdl.handle.net/10724/25785.

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

MLA Handbook (7^th Edition):

Dorea, Fernanda Cetrangolo. “Stochastic risk model of highly pathogenic avian influenza spread and impact of biosecurity protocols.” 2014. Web. 22 Jan 2021.

Vancouver:

Dorea FC. Stochastic risk model of highly pathogenic avian influenza spread and impact of biosecurity protocols. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10724/25785.

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

Council of Science Editors:

Dorea FC. Stochastic risk model of highly pathogenic avian influenza spread and impact of biosecurity protocols. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/25785

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

Kansas State University

7. Riad, Md Mahbubul Huq. Network-based modeling for risk assessment of infectious disease transmission.

Degree: PhD, Department of Electrical and Computer Engineering, 2020, Kansas State University

URL: http://hdl.handle.net/2097/40752

► Infectious disease modeling is crucial to optimize surveillance, preventative measures, and resource allocation. Simulation with infectious disease models is very convenient when the resource requirement… (more)

Subjects/Keywords: Risk assessment; Parameter estimation of epidemic model; Network-based infectious disease models; Forecasting disease transmission

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Riad, M. M. H. (2020). Network-based modeling for risk assessment of infectious disease transmission. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/40752

Chicago Manual of Style (16^th Edition):

Riad, Md Mahbubul Huq. “Network-based modeling for risk assessment of infectious disease transmission.” 2020. Doctoral Dissertation, Kansas State University. Accessed January 22, 2021. http://hdl.handle.net/2097/40752.

MLA Handbook (7^th Edition):

Riad, Md Mahbubul Huq. “Network-based modeling for risk assessment of infectious disease transmission.” 2020. Web. 22 Jan 2021.

Vancouver:

Riad MMH. Network-based modeling for risk assessment of infectious disease transmission. [Internet] [Doctoral dissertation]. Kansas State University; 2020. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/2097/40752.

Council of Science Editors:

Riad MMH. Network-based modeling for risk assessment of infectious disease transmission. [Doctoral Dissertation]. Kansas State University; 2020. Available from: http://hdl.handle.net/2097/40752

Australian National University

8. Hogan, Alexandra. Mathematical models for respiratory syncytial virus (RSV) transmission .

Degree: 2016, Australian National University

URL: http://hdl.handle.net/1885/118218

► Respiratory syncytial virus (RSV) causes respiratory tract infections in infants and young children. Almost all children experience an RSV infection within the first two years… (more)

▼ Respiratory syncytial virus (RSV) causes respiratory tract infections in infants and young children. Almost all children experience an RSV infection within the first two years of life, and while mortality due to RSV infection is low in developed countries, the virus presents a significant burden in Australia and internationally. In temperate regions, RSV displays strong seasonal patterns. In Perth, Western Australia, RSV detections show a distinct biennial cycle, and similar patterns have been observed in other temperate locations. While there is no licensed vaccine for RSV, there are several candidates in clinical trials. Understanding the seasonal patterns of RSV, and developing mathematical models that capture key transmission characteristics, can assist with planning the future rollout of an RSV vaccine. This thesis focusses on three themes: age structure and immunity; seasonality and climate; and vaccination. For the first theme, I present age-structured compartmental mathematical models with waning immunity and seasonal forcing. I fit these models to RSV data for Perth and explore the parameter space and bifurcation structures. The models help explain the different patterns in RSV detections observed globally. In particular, both the seasonality and immunity parameters must exceed certain thresholds for the model to produce biennial patterns, which aligns with observed data. Further, I identify a ‘window’ of birth rate parameters that produces biennial patterns, showing that RSV seasonality may not be only driven by weather and climatic factors as was previously thought. The second research theme involves a time series analysis of both RSV and bronchiolitis data, as approximately 70% of bronchiolitis hospitalisations are linked to RSV infection. First, I identify a clear shift in seasonality for both RSV and bronchiolitis, from the temperate to tropical regions of Western Australia. I then apply a mathematical time series analysis method, complex demodulation, to assess the validity of using bronchiolitis hospitalisations as a proxy for RSV cases. I find bronchiolitis and RSV are similar in terms of timing, but that epidemic magnitudes differ. To address the third research theme, I adapt the compartmental model to incorporate a finer age structure, contact patterns and naturally-derived maternal immunity, to assess the potential impact of a maternal vaccination strategy for RSV in Perth. I find that the introduction of a maternal vaccine is unlikely to alter the regular biennial RSV pattern, but that the vaccine would be effective in reducing hospitalisations due to RSV in children younger than six months of age. This thesis adopts both mathematical modelling and data analysis approaches to improve our understanding of RSV dynamics. Developing mathematical…

Subjects/Keywords: respiratory syncytial virus; RSV; mathematical model; infectious disease model; mathematical epidemiology; dynamic model; ordinary differential equation model

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Hogan, A. (2016). Mathematical models for respiratory syncytial virus (RSV) transmission . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/118218

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):

Hogan, Alexandra. “Mathematical models for respiratory syncytial virus (RSV) transmission .” 2016. Thesis, Australian National University. Accessed January 22, 2021. http://hdl.handle.net/1885/118218.

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

MLA Handbook (7^th Edition):

Hogan, Alexandra. “Mathematical models for respiratory syncytial virus (RSV) transmission .” 2016. Web. 22 Jan 2021.

Vancouver:

Hogan A. Mathematical models for respiratory syncytial virus (RSV) transmission . [Internet] [Thesis]. Australian National University; 2016. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1885/118218.

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

Council of Science Editors:

Hogan A. Mathematical models for respiratory syncytial virus (RSV) transmission . [Thesis]. Australian National University; 2016. Available from: http://hdl.handle.net/1885/118218

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

Universitetet i Tromsø

9. Yigzaw, Kassaye Yitbarek. Snow integrated communicable disease prediction service .

Degree: 2012, Universitetet i Tromsø

URL: http://hdl.handle.net/10037/4402

► Objective: This thesis mainly focused on construction of an integrated infectious disease prediction service that predicts and visualizes prediction results in time and space. Methods:… (more)

Subjects/Keywords: VDP::Medical disciplines: 700::Clinical medical disciplines: 750::Communicable diseases: 776; Infectious disease; Inﬂuenza; Mathematical model; Prediction; Mathematical model evaluation; Spatiotemporal Epidemiological Modeler; Integrated infectious disease prediction

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Yigzaw, K. Y. (2012). Snow integrated communicable disease prediction service . (Masters Thesis). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/4402

Chicago Manual of Style (16^th Edition):

Yigzaw, Kassaye Yitbarek. “Snow integrated communicable disease prediction service .” 2012. Masters Thesis, Universitetet i Tromsø. Accessed January 22, 2021. http://hdl.handle.net/10037/4402.

MLA Handbook (7^th Edition):

Yigzaw, Kassaye Yitbarek. “Snow integrated communicable disease prediction service .” 2012. Web. 22 Jan 2021.

Vancouver:

Yigzaw KY. Snow integrated communicable disease prediction service . [Internet] [Masters thesis]. Universitetet i Tromsø 2012. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10037/4402.

Council of Science Editors:

Yigzaw KY. Snow integrated communicable disease prediction service . [Masters Thesis]. Universitetet i Tromsø 2012. Available from: http://hdl.handle.net/10037/4402

McMaster University

10. deJonge, Michelle S. Fast Estimation of Time-Varying Transmission Rates for Infectious Diseases.

Degree: MSc, 2014, McMaster University

URL: http://hdl.handle.net/11375/14230

►

Modelling and analysis of recurrent infectious disease epidemics often depends on the reconstruction of a time-varying transmission rate from historical reports of cases or… (more)

Subjects/Keywords: SIR model; childhood diseases; transmission rate; infectious disease; Applied Mathematics; Applied Mathematics

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

deJonge, M. S. (2014). Fast Estimation of Time-Varying Transmission Rates for Infectious Diseases. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/14230

Chicago Manual of Style (16^th Edition):

deJonge, Michelle S. “Fast Estimation of Time-Varying Transmission Rates for Infectious Diseases.” 2014. Masters Thesis, McMaster University. Accessed January 22, 2021. http://hdl.handle.net/11375/14230.

MLA Handbook (7^th Edition):

deJonge, Michelle S. “Fast Estimation of Time-Varying Transmission Rates for Infectious Diseases.” 2014. Web. 22 Jan 2021.

Vancouver:

deJonge MS. Fast Estimation of Time-Varying Transmission Rates for Infectious Diseases. [Internet] [Masters thesis]. McMaster University; 2014. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/11375/14230.

Council of Science Editors:

deJonge MS. Fast Estimation of Time-Varying Transmission Rates for Infectious Diseases. [Masters Thesis]. McMaster University; 2014. Available from: http://hdl.handle.net/11375/14230

George Mason University

11. Garrity, Michael James. Representing Blogger Influence on Issue Sentiment and Opinion as an Epidemic Model .

Degree: 2016, George Mason University

URL: http://hdl.handle.net/1920/10448

► Online blogging continues to be a popular way for people to share and discuss their opinions with others in the community. Blogospheres also provide a… (more)

Subjects/Keywords: Computer science; Statistics; Epidemic Model; Infectious Disease; Influence; Opinion; Sentiment Analysis; Text Mining

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Garrity, M. J. (2016). Representing Blogger Influence on Issue Sentiment and Opinion as an Epidemic Model . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/10448

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):

Garrity, Michael James. “Representing Blogger Influence on Issue Sentiment and Opinion as an Epidemic Model .” 2016. Thesis, George Mason University. Accessed January 22, 2021. http://hdl.handle.net/1920/10448.

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

MLA Handbook (7^th Edition):

Garrity, Michael James. “Representing Blogger Influence on Issue Sentiment and Opinion as an Epidemic Model .” 2016. Web. 22 Jan 2021.

Vancouver:

Garrity MJ. Representing Blogger Influence on Issue Sentiment and Opinion as an Epidemic Model . [Internet] [Thesis]. George Mason University; 2016. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1920/10448.

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

Council of Science Editors:

Garrity MJ. Representing Blogger Influence on Issue Sentiment and Opinion as an Epidemic Model . [Thesis]. George Mason University; 2016. Available from: http://hdl.handle.net/1920/10448

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

University of Western Ontario

12. Zeppa, Joseph J. Superantigen responsive T cells are required for nasopharyngeal infection by Streptococcus pyogenes.

Degree: 2017, University of Western Ontario

URL: https://ir.lib.uwo.ca/etd/4435

► Streptococcus pyogenes is a human-specific pathogen that is responsible for serious morbidity and mortality worldwide despite being susceptible to common antibiotics. Furthermore, there is currently… (more)

Subjects/Keywords: Streptococcus pyogenes; superantigens; transgenic mouse model; nasopharyngeal infection; vaccination; passive immunization; Immunology of Infectious Disease

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Zeppa, J. J. (2017). Superantigen responsive T cells are required for nasopharyngeal infection by Streptococcus pyogenes. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/4435

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):

Zeppa, Joseph J. “Superantigen responsive T cells are required for nasopharyngeal infection by Streptococcus pyogenes.” 2017. Thesis, University of Western Ontario. Accessed January 22, 2021. https://ir.lib.uwo.ca/etd/4435.

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

MLA Handbook (7^th Edition):

Zeppa, Joseph J. “Superantigen responsive T cells are required for nasopharyngeal infection by Streptococcus pyogenes.” 2017. Web. 22 Jan 2021.

Vancouver:

Zeppa JJ. Superantigen responsive T cells are required for nasopharyngeal infection by Streptococcus pyogenes. [Internet] [Thesis]. University of Western Ontario; 2017. [cited 2021 Jan 22]. Available from: https://ir.lib.uwo.ca/etd/4435.

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

Council of Science Editors:

Zeppa JJ. Superantigen responsive T cells are required for nasopharyngeal infection by Streptococcus pyogenes. [Thesis]. University of Western Ontario; 2017. Available from: https://ir.lib.uwo.ca/etd/4435

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

University of Arkansas

13. Falcon, Daniel Morales. Assessment of Melanocyte-Specific Primary and Memory Autoimmune Responses in Vitiligo-Prone Smyth and Vitiligo-Susceptible, Non-Expressing Brown Line Chickens.

Degree: PhD, 2018, University of Arkansas

URL: https://scholarworks.uark.edu/etd/2912

► Vitiligo is an acquired de-pigmentation disorder characterized by the post-natal loss of epidermal melanocytes (pigment-producing cells) resulting in the appearance of white patches in… (more)

▼ Vitiligo is an acquired de-pigmentation disorder characterized by the post-natal loss of epidermal melanocytes (pigment-producing cells) resulting in the appearance of white patches in the skin. The Smyth line of chicken is the only model for vitiligo that shares all the characteristics of the human condition including: spontaneous post-natal loss of melanocytes, interactions between genetic, environmental and immunological factors and associations with other autoimmune diseases. In addition, an avian model for vitiligo has the added benefit of an easily accessible target tissue (a growing feather) that allows for the repeated sampling of an individual and thus the continuous monitoring of local immune responses over time. Here, we sought to gain a comprehensive understanding of the initiating events leading to expression of vitiligo in growing feathers by monitoring the infiltration of leukocytes and concurrent immunological activities beginning prior-to visual onset and continuing throughout disease development. Furthermore, we examined the nature of the melanocyte-specific recall (i.e. memory) response by re-introducing the target cell (melanocyte) into the target tissue (growing feather) of completely depigmented Smyth chickens via intradermal injection. Lastly, we sought to gain insights into the role of melanocytes in provoking the autoimmune response by measuring the expression of co-stimulatory molecules in the presence of oxidative stress-inducing H2O2. During the primary response we observed characteristic rises in infiltrating B and αβ T cells as well as evidence of active recruitment and cell-mediated immune activities leading up to visual onset. Examination of growing feathers from vitiligo-susceptible Brown line chickens revealed novel anti-inflammatory immune activities which may be responsible for preventing vitiligo. We also observed characteristic memory-like increases in B and T cells as well as increases in recruitment and cell-mediated immune activities in response to injection of melanocytes into growing feathers of completely depigmented Smyth chickens. Lastly, we observed increased expression of CD40 and B7-1 in melanocytes derived from growing feathers of Smyth chickens treated with H2O2. Collectively, these results further support the notion of cell-mediated immune destruction of melanocytes in growing feathers. Furthermore, these data open new avenues of study in the vitiligo-prone Smyth line and vitiligo-susceptible Brown line chickens. Advisors/Committee Members: Gisela Erf, Yuchun Du, David McNabb.

Subjects/Keywords: Animal Model; Autoimmunity; Immunology; Smyth Chicken; Translational Immunology; Vitiligo; Cell Biology; Immunology of Infectious Disease

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Falcon, D. M. (2018). Assessment of Melanocyte-Specific Primary and Memory Autoimmune Responses in Vitiligo-Prone Smyth and Vitiligo-Susceptible, Non-Expressing Brown Line Chickens. (Doctoral Dissertation). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/2912

Chicago Manual of Style (16^th Edition):

Falcon, Daniel Morales. “Assessment of Melanocyte-Specific Primary and Memory Autoimmune Responses in Vitiligo-Prone Smyth and Vitiligo-Susceptible, Non-Expressing Brown Line Chickens.” 2018. Doctoral Dissertation, University of Arkansas. Accessed January 22, 2021. https://scholarworks.uark.edu/etd/2912.

MLA Handbook (7^th Edition):

Falcon, Daniel Morales. “Assessment of Melanocyte-Specific Primary and Memory Autoimmune Responses in Vitiligo-Prone Smyth and Vitiligo-Susceptible, Non-Expressing Brown Line Chickens.” 2018. Web. 22 Jan 2021.

Vancouver:

Falcon DM. Assessment of Melanocyte-Specific Primary and Memory Autoimmune Responses in Vitiligo-Prone Smyth and Vitiligo-Susceptible, Non-Expressing Brown Line Chickens. [Internet] [Doctoral dissertation]. University of Arkansas; 2018. [cited 2021 Jan 22]. Available from: https://scholarworks.uark.edu/etd/2912.

Council of Science Editors:

Falcon DM. Assessment of Melanocyte-Specific Primary and Memory Autoimmune Responses in Vitiligo-Prone Smyth and Vitiligo-Susceptible, Non-Expressing Brown Line Chickens. [Doctoral Dissertation]. University of Arkansas; 2018. Available from: https://scholarworks.uark.edu/etd/2912

University of Guelph

14. Angevaare, Justin. Phylodynamic and Transmission Network Individual Level Infectious Disease Models.

Degree: PhD, Department of Mathematics and Statistics, 2020, University of Guelph

URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/21323

► The individual level model (ILM) framework of Deardon et al. (2010) outlines the incorporation of individual specific risk factors into infectious disease models. ILMs represent… (more)

▼ The individual level model (ILM) framework of Deardon et al. (2010) outlines the incorporation of individual specific risk factors into infectious disease models. ILMs represent individual-specific disease state transitions, and allow for investigation of hypotheses regarding overall risk to individuals. Such investigations are relevant in the development of projections and control policies while considering population heterogeneity. We extend the ILM framework to allow for competing risks of disease transmission with Transmission Network ILMs (TN-ILMs). The data requirements of TN-ILMs includes the typically latent transmission times, and transmission network, so we present TN-ILMs along Bayesian data augmentation methods to infer TN-ILM parameters jointly with these latent data. Our Markov Chain Monte Carlo based inference strategy for TN-ILMs is implemented in Pathogen.jl, a high performance, and highly flexible statistical software package in the Julia language. Pathogen.jl supports simulation, inference, and visualization of epidemics from Susceptible-Infected (SI), Susceptible-Exposed-Infected (SEI), Susceptible-Infected-Removed (SIR), and Susceptible-Exposed-Infected-Removed (SEIR) TN-ILMs. Applications of TN-ILMs using Pathogen.jl are presented for the 1861 Hagelloch measles outbreak (Pfeilsticker, 1863; Oesterle, 1992) and an experimental tomato spotted wilt virus outbreak (Hughes et al. 1997) We further extend TN-ILMs to full phylodynamic ILMs. Phylodynamics is the combined study of disease spread and evolution. Phylodynamic approaches are most appropriate when dense genetic sampling has been conducted on the pathogen during an outbreak, and evolutionary and epidemiological processes occur on a similar time scale. With the phylodynamic ILM extension, we can jointly infer disease transmission times, transmission network, pathogen phylogeny, and the phylodynamic ILM parameters. We contrast a fully phylodynamic approach to one that incorporates genetic distances as a dyadic covariate in various TN-ILMs, and show that phylodynamic ILMs offer improved event time and transmission network inference, at a significantly increased computational cost. Advisors/Committee Members: Feng, Zeny (advisor), Deardon, Rob (advisor).

Subjects/Keywords: Epidemic Model; Markov Chain Monte Carlo; Transmission Network; Infectious Disease Epidemiology; Phylodynamics

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Angevaare, J. (2020). Phylodynamic and Transmission Network Individual Level Infectious Disease Models. (Doctoral Dissertation). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/21323

Chicago Manual of Style (16^th Edition):

Angevaare, Justin. “Phylodynamic and Transmission Network Individual Level Infectious Disease Models.” 2020. Doctoral Dissertation, University of Guelph. Accessed January 22, 2021. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/21323.

MLA Handbook (7^th Edition):

Angevaare, Justin. “Phylodynamic and Transmission Network Individual Level Infectious Disease Models.” 2020. Web. 22 Jan 2021.

Vancouver:

Angevaare J. Phylodynamic and Transmission Network Individual Level Infectious Disease Models. [Internet] [Doctoral dissertation]. University of Guelph; 2020. [cited 2021 Jan 22]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/21323.

Council of Science Editors:

Angevaare J. Phylodynamic and Transmission Network Individual Level Infectious Disease Models. [Doctoral Dissertation]. University of Guelph; 2020. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/21323

15. Zhang, Wenjing. Understanding Recurrent Disease: A Dynamical Systems Approach.

Degree: 2014, University of Western Ontario

URL: https://ir.lib.uwo.ca/etd/2265

► Recurrent disease, characterized by repeated alternations between acute relapse and long re- mission, can be a feature of both common diseases, like ear infections, and… (more)

▼ Recurrent disease, characterized by repeated alternations between acute relapse and long re- mission, can be a feature of both common diseases, like ear infections, and serious chronic diseases, such as HIV infection or multiple sclerosis. Due to their poorly understood etiology and the resultant challenge for medical treatment and patient management, recurrent diseases attract much attention in clinical research and biomathematics. Previous studies of recurrence by biomathematicians mainly focus on in-host models and generate recurrent patterns by in- corporating forcing functions or stochastic elements. In this study, we investigate deterministic in-host models through the qualitative analysis of dynamical systems, to reveal the possible intrinsic mechanisms underlying disease recurrence. Recurrence in HIV infection is referred to as “viral blips”, that is, transient periods of high viral replication separated by long periods of quiescence. A 4-dimensional HIV antioxidant- therapy model exhibiting viral blips is studied using bifurcation theory. Four conditions for the existence of viral blips in a deterministic in-host model are proposed. Guided by the four con- ditions, the simplest 2-dimensional infection model which shows recurrence is obtained. One key point for recurrence is identified, that is an increasing and saturating infectivity function. Furthermore, Hopf and generalized Hopf bifurcations, Bogdanov-Takens bifurcation, and ho- moclinic bifurcation are proved to exist in this 2-dimensional model. Bogdanov-Takens bifur- cation and homoclinic bifurcation provide a new mechanism for generating recurrence. From the viewpoint of modelling, the increasing and saturating infectivity function gives rise to a convex incidence rate, which further induces backward bifurcation and Hopf bifurcation, and allows the infection model to exhibit rich dynamical behavior, such as bistability, recurrence, and regular oscillation. The relapse-remission cycle in autoimmune disease is investigated based on a regulatory T cell model. By introducing a newly discovered class of regulatory T cells, Hopf bifurcation oc- curs in the autoimmune model with negative backward bifurcation, and gives rise to a recurrent pattern. The main insight of this thesis is that recurrent disease can arise naturally from the de- terministic dynamics of populations. It will provide a starting point for further research in dynamical systems theory, and recurrence in other physical systems.

Subjects/Keywords: Mathematical immunology and infectious disease model; bifurcation theory; Dynamic Systems; Immunity; Non-linear Dynamics; Ordinary Differential Equations and Applied Dynamics; Other Immunology and Infectious Disease

11 more images…

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Zhang, W. (2014). Understanding Recurrent Disease: A Dynamical Systems Approach. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/2265

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):

Zhang, Wenjing. “Understanding Recurrent Disease: A Dynamical Systems Approach.” 2014. Thesis, University of Western Ontario. Accessed January 22, 2021. https://ir.lib.uwo.ca/etd/2265.

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

MLA Handbook (7^th Edition):

Zhang, Wenjing. “Understanding Recurrent Disease: A Dynamical Systems Approach.” 2014. Web. 22 Jan 2021.

Vancouver:

Zhang W. Understanding Recurrent Disease: A Dynamical Systems Approach. [Internet] [Thesis]. University of Western Ontario; 2014. [cited 2021 Jan 22]. Available from: https://ir.lib.uwo.ca/etd/2265.

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

Council of Science Editors:

Zhang W. Understanding Recurrent Disease: A Dynamical Systems Approach. [Thesis]. University of Western Ontario; 2014. Available from: https://ir.lib.uwo.ca/etd/2265

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

University of North Texas

16. Alshammari, Sultanah. A Data-Driven Computational Framework to Assess the Risk of Epidemics at Global Mass Gatherings.

Degree: 2019, University of North Texas

URL: https://digital.library.unt.edu/ark:/67531/metadc1505145/

► This dissertation presents a data-driven computational epidemic framework to simulate disease epidemics at global mass gatherings. The annual Muslim pilgrimage to Makkah, Saudi Arabia is… (more)

Subjects/Keywords: Modeling; Simulation; Agent-based Model; Data-driven; Computational Framework; Global Mass Gatherings; Hajj; Epidemic; Outbreak; Infectious Diseases; Public Health; Disease Control

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Alshammari, S. (2019). A Data-Driven Computational Framework to Assess the Risk of Epidemics at Global Mass Gatherings. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1505145/

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):

Alshammari, Sultanah. “A Data-Driven Computational Framework to Assess the Risk of Epidemics at Global Mass Gatherings.” 2019. Thesis, University of North Texas. Accessed January 22, 2021. https://digital.library.unt.edu/ark:/67531/metadc1505145/.

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

MLA Handbook (7^th Edition):

Alshammari, Sultanah. “A Data-Driven Computational Framework to Assess the Risk of Epidemics at Global Mass Gatherings.” 2019. Web. 22 Jan 2021.

Vancouver:

Alshammari S. A Data-Driven Computational Framework to Assess the Risk of Epidemics at Global Mass Gatherings. [Internet] [Thesis]. University of North Texas; 2019. [cited 2021 Jan 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1505145/.

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

Council of Science Editors:

Alshammari S. A Data-Driven Computational Framework to Assess the Risk of Epidemics at Global Mass Gatherings. [Thesis]. University of North Texas; 2019. Available from: https://digital.library.unt.edu/ark:/67531/metadc1505145/

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

17. Liboschik, Tobias. Modeling count time series following generalized linear models.

Degree: 2016, Technische Universität Dortmund

URL: http://dx.doi.org/10.17877/DE290R-17191

► Count time series are found in many different applications, e.g. from medicine, finance or industry, and have received increasing attention in the last two decades.… (more)

▼ Count time series are found in many different applications, e.g. from medicine, finance or industry, and have received increasing attention in the last two decades. The class of count time series following generalized linear models is very flexible and can describe serial correlation in a parsimonious way. The conditional mean of the observed process is linked to its past values, to past observations and to potential covariate effects. In this thesis we give a comprehensive formulation of this model class. We consider models with the identity and with the logarithmic link function. The conditional distribution can be Poisson or Negative Binomial. An important special case of this class is the so-called INGARCH model and its log-linear extension.A key contribution of this thesis is the R package tscount which provides likelihood-based estimation methods for analysis and modeling of count time series based on generalized linear models. The package includes methods for model fitting and assessment, prediction and intervention analysis. This thesis summarizes the theoretical background of these methods. It gives details on the implementation of the package and provides simulation results for models which have not been studied theoretically before. The usage of the package is illustrated by two data examples. Additionally, we provide a review of R packages which can be used for count time series analysis. A detailed comparison of tscount to those packages demonstrates that tscount is an important contribution which extends and complements existing software. A thematic focus of this thesis is the treatment of all kinds of unusual effects influencing the ordinary pattern of the data. This includes structural changes and different forms of outliers one is faced with in many time series. Our first study on this topic is concerned with retrospective detection of such changes. We analyze different approaches for modeling such intervention effects in count time series based on INGARCH models. Other authors treated a model where an intervention affects the non-observable underlying mean process at the time point of its occurrence and additionally the whole process thereafter via its dynamics. As an alternative, we consider a model where an intervention directly affects the observation at its occurrence, but not the underlying mean, and then also enters the dynamics of the process. While the former definition describes an internal change of the system, the latter can be understood as an external effect on the observations due to e.g. immigration. For our alternative model we develop conditional likelihood estimation and, based on this, develop tests and detection procedures for intervention effects. Both models are compared analytically and using simulated and real data examples. The procedures for our new model work reliably and we find some robustness against misspecification of the intervention model. The aforementioned methods are applied after the complete time series has been observed. In another study we investigate the… Advisors/Committee Members: Fried, Roland (advisor), Fokianos, Konstantinos (referee).

Subjects/Keywords: Autoregressive models; Temporal dependence; Forecasting; Model selection; Statistical software; Intervention analysis; Online monitoring; Infectious disease surveillance; 310; 570

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Liboschik, T. (2016). Modeling count time series following generalized linear models. (Doctoral Dissertation). Technische Universität Dortmund. Retrieved from http://dx.doi.org/10.17877/DE290R-17191

Chicago Manual of Style (16^th Edition):

Liboschik, Tobias. “Modeling count time series following generalized linear models.” 2016. Doctoral Dissertation, Technische Universität Dortmund. Accessed January 22, 2021. http://dx.doi.org/10.17877/DE290R-17191.

MLA Handbook (7^th Edition):

Liboschik, Tobias. “Modeling count time series following generalized linear models.” 2016. Web. 22 Jan 2021.

Vancouver:

Liboschik T. Modeling count time series following generalized linear models. [Internet] [Doctoral dissertation]. Technische Universität Dortmund; 2016. [cited 2021 Jan 22]. Available from: http://dx.doi.org/10.17877/DE290R-17191.

Council of Science Editors:

Liboschik T. Modeling count time series following generalized linear models. [Doctoral Dissertation]. Technische Universität Dortmund; 2016. Available from: http://dx.doi.org/10.17877/DE290R-17191

18. Dhondt, Kévin. Etude des mécanismes de haute pathogénicité des Henipavirus : Study on mecanisms of high pathogenicity of Henipaviruses.

Degree: Docteur es, Sciences de la Vie, 2014, Lyon, École normale supérieure

URL: http://www.theses.fr/2014ENSL0954

►

Les Henipavirus sont des paramyxovirus zoonotiques émergents hautement pathogènes. Ils sont capables d’infecter un large spectre d’hôtes incluant notamment la chauve-souris frugivore (réservoir naturel), le… (more)

▼

Les Henipavirus sont des paramyxovirus zoonotiques émergents hautement pathogènes. Ils sont capables d’infecter un large spectre d’hôtes incluant notamment la chauve-souris frugivore (réservoir naturel), le porc et l’homme. Etant donné leur très grande dangerosité et en l’absence de traitements curatifs ou prophylactiques efficaces, ces virus doivent être manipulés dans un laboratoire de classe P4. Dans une première partie, nous étudions l’effet de composés glyco-amino-glycanes sur l’infection par les Henipavirus ainsi que leur potentielle application en tant que traitement. Dans une seconde partie, nous nous attachons à comprendre les interactions entre le système immunitaire de l’hôte et le virus. Afin de mieux comprendre ces interactions, nous avons utilisé une approche basée sur l’utilisation de souris déficientes pour certaines voies de l’immunité. En effet, bien que les récepteurs cellulaires au virus (EFN B2 et B3) soient fonctionnels chez la souris, celle-ci est résistante à l’infection par voie intrapéritonéale. Nous avons analysé la susceptibilité au virus Nipah (NiV) de souris privées de différentes voies du système immunitaire inné et adaptatif. Les résultats obtenus permettent d’envisager certaines lignées de ces souris comme nouveaux modèles animaux pour l’étude de l’immunopathogénèse du NiV. Cette étude suggère aussi que le système interféron de type I joue un rôle crucial dans la limitation de la propagation virale vers le cerveau et que les lymphocytes T sont nécessaires à la complète élimination du virus. Les macrophages jouent, quant à eux, un rôle central et indispensable, à l’interface entre système inné et adaptatif. Enfin, nous abordons les prémices d’un projet visant à identifier les différences d’interactions au niveau moléculaire entre les protéines non-structurales du virus et les protéines du système immunitaire inné chez l’Homme et la souris afin de voir s’il se dégage des différences d’interactions pouvant expliquer les différences de pathogénie. Ces travaux ont donc permis d’identifier de nouveaux modèles animaux et de mieux caractériser les interactions entre le pathogène et le système immunitaire de l’hôte, de l’échelle moléculaire à l’échelle de l’organisme entier. Néanmoins, les mécanismes précis de ces interactions restent à élucider et permettront certainement de mieux comprendre la grande diversité de pathogénie des Henipavirus.

Henipaviruses are highly pathogenic emerging zoonotic paramyxoviruses. They can infect a broad spectrum of mammals including flying foxes (Pteropus fruit bats), its reservoir, pigs and humans. As there are neither therapeutic drugs nor efficient prophylactic treatment towards these highly lethal viruses, they have to be manipulated in biosafety level-4 laboratories. In the first part of this thesis, we study the role of glyco-amino-glycans on Henipavirus infection and their potential use as treatment. In the second part, we describe the interaction between the host immune system and the pathogen. To investigate these interactions, we took advantage of…

Advisors/Committee Members: Horvat, Branka (thesis director).

Subjects/Keywords: Maladie infectieuse; Zoonose; Virus Nipah; Pathogène émergent; Modèle animal; Immunologie; Infectious disease; Zoonosis; Emerging pathogen; Virus; Animal model; Immunology

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Dhondt, K. (2014). Etude des mécanismes de haute pathogénicité des Henipavirus : Study on mecanisms of high pathogenicity of Henipaviruses. (Doctoral Dissertation). Lyon, École normale supérieure. Retrieved from http://www.theses.fr/2014ENSL0954

Chicago Manual of Style (16^th Edition):

Dhondt, Kévin. “Etude des mécanismes de haute pathogénicité des Henipavirus : Study on mecanisms of high pathogenicity of Henipaviruses.” 2014. Doctoral Dissertation, Lyon, École normale supérieure. Accessed January 22, 2021. http://www.theses.fr/2014ENSL0954.

MLA Handbook (7^th Edition):

Dhondt, Kévin. “Etude des mécanismes de haute pathogénicité des Henipavirus : Study on mecanisms of high pathogenicity of Henipaviruses.” 2014. Web. 22 Jan 2021.

Vancouver:

Dhondt K. Etude des mécanismes de haute pathogénicité des Henipavirus : Study on mecanisms of high pathogenicity of Henipaviruses. [Internet] [Doctoral dissertation]. Lyon, École normale supérieure; 2014. [cited 2021 Jan 22]. Available from: http://www.theses.fr/2014ENSL0954.

Council of Science Editors:

Dhondt K. Etude des mécanismes de haute pathogénicité des Henipavirus : Study on mecanisms of high pathogenicity of Henipaviruses. [Doctoral Dissertation]. Lyon, École normale supérieure; 2014. Available from: http://www.theses.fr/2014ENSL0954

York University

19. Aruffo, Elena. Disease Modelling on Measles Immunity: Theoretical and Numerical Analyses.

Degree: PhD, Mathematics & Statistics, 2020, York University

URL: http://hdl.handle.net/10315/37918

► Although measles vaccine is considered safe and highly effective, cases continue to be reported globally, even in countries, such as Canada, where herd immunity (a… (more)

▼ Although measles vaccine is considered safe and highly effective, cases continue to be reported globally, even in countries, such as Canada, where herd immunity (a form of indirect protection provided by immunized individuals) threshold is reached. Biological processes and social behaviours are fundamental factors in understanding the re-emergence of this childhood disease in highly vaccinated populations. In the past decades, the assumption that vaccine-induced immunity is life long has started to vacillate and many studies show how measles antibodies wane over time. However, the time needed to wane immunity partially, or fully, is still unknown. During this waning stage, immunity can experience a boosting process, if an encounter with the pathogen occurs. However, in absence of virus, immunity can wane until individuals return fully susceptible. In a society where mobility, travel and immigration are a daily routine, infections stages and levels of immunity are important factors to potentially increase or reduce the spread of a virus. In particular, with the assumption that measles-induced immunity is lifelong, immigrants immunity provides an increase of protection in the host country. On the other hand, immunity heterogeneity in a community creates pockets of individuals vulnerable to the infection, and movement of infectious cases might lead to relatively big outbreaks. In this thesis, we investigate how waning immunity, boosting and vaccination processes, immigration and migration affect the achievement of herd immunity and the spread of the infection. We propose different compartmental models described by systems of ordinary and partial differential equations, following, and extending, the Susceptible-Exposed-Infectious-Recovered framework. We employ both deterministic and stochastic models in order to capture those factors which mostly affect the infection dynamics and immunity of individuals as well as to investigate the probability of extinction or outbreak. Since measles vaccine is given at different ages, from 12 months up to 6 years, we also employ age structured models, discrete and continuous, to capture the age groups which mostly experience waning immunity and infection. Meta-population models are also used to investigate the effect of mobility on the spread of measles infection. We derive expressions for the basic and control reproduction numbers as well as performing sensitivity analysis on the model parameters and its outcomes. Advisors/Committee Members: Heffernan, Jane M. (advisor).

Subjects/Keywords: Epidemiology; Mathematical modelling; Disease modelling; Applied mathematics; Deterministic models; Stochastic models; Metapopulation models; Age structured model; Immigration; Measles; Infectious diseases

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Aruffo, E. (2020). Disease Modelling on Measles Immunity: Theoretical and Numerical Analyses. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/37918

Chicago Manual of Style (16^th Edition):

Aruffo, Elena. “Disease Modelling on Measles Immunity: Theoretical and Numerical Analyses.” 2020. Doctoral Dissertation, York University. Accessed January 22, 2021. http://hdl.handle.net/10315/37918.

MLA Handbook (7^th Edition):

Aruffo, Elena. “Disease Modelling on Measles Immunity: Theoretical and Numerical Analyses.” 2020. Web. 22 Jan 2021.

Vancouver:

Aruffo E. Disease Modelling on Measles Immunity: Theoretical and Numerical Analyses. [Internet] [Doctoral dissertation]. York University; 2020. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10315/37918.

Council of Science Editors:

Aruffo E. Disease Modelling on Measles Immunity: Theoretical and Numerical Analyses. [Doctoral Dissertation]. York University; 2020. Available from: http://hdl.handle.net/10315/37918

University of Pennsylvania

20. Panjwani, Mohammed Kazim. Development Of Canine Chimeric Antigen Receptor T Cell Therapy For Treatment & Translation.

Degree: 2017, University of Pennsylvania

URL: https://repository.upenn.edu/edissertations/2513

► Chimeric antigen receptor (CAR) T cell therapy has had remarkable success targeting B cell leukemias in human patients, but unexpected toxicities and failures in other… (more)

▼ Chimeric antigen receptor (CAR) T cell therapy has had remarkable success targeting B cell leukemias in human patients, but unexpected toxicities and failures in other disease demonstrate the need for more predictive pre-clinical animal models than the murine ones currently used. Dogs develop spontaneous malignancies similar to humans in their tissues of origin, gene expression profiles, treatments, and disease courses, and have long been used as models for immunotherapy. I hypothesize that the development of CAR T cell therapy for dogs with spontaneous disease and that the treatment of these canine patients will recapitulate the observations found in human patients, and provide new insights into the safety and efficacy of this breakthrough therapy. To achieve this, I first established methods for growing primary canine T cells from healthy and disease-bearing donors to clinically relevant scale, developed RNA electroporation protocols to transiently express a CAR targeting the canine tumor-associated antigen CD20, demonstrated its function in vitro, and treated a relapsed canine B cell lymphoma patient with autologous CAR T cells as a proof of feasibility. I then developed methods to permanently express a second-generation cCD20-8-28-ζ CAR in canine T cells using lentiviral transduction, showed in vitro antigen-specific function and proliferation of CAR T cells, and treated four canine B cell lymphoma patients with CAR T cells. Based on my observations from those patients, I made iterative improvements to the T cell culture system and CAR construct, and treated a canine B cell lymphoma patient with cCD20-8-BB-ζ CAR T cells, whose tumor cells lost target antigen expression to avoid immune pressure. These results prove that it is not only possible to generate canine CAR T cell therapy, but that it recapitulates observations found until now only in human patients. In addition, novel findings regarding the recovery of T cells during ex vivo culture and the host immune response to the CAR demonstrate that this model can already inform human medicine.

Subjects/Keywords: chimeric antigen receptor; comparative oncology; immunotherapy; pre-clinical animal model; Allergy and Immunology; Immunology and Infectious Disease; Medical Immunology; Oncology

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Panjwani, M. K. (2017). Development Of Canine Chimeric Antigen Receptor T Cell Therapy For Treatment & Translation. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/2513

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):

Panjwani, Mohammed Kazim. “Development Of Canine Chimeric Antigen Receptor T Cell Therapy For Treatment & Translation.” 2017. Thesis, University of Pennsylvania. Accessed January 22, 2021. https://repository.upenn.edu/edissertations/2513.

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

MLA Handbook (7^th Edition):

Panjwani, Mohammed Kazim. “Development Of Canine Chimeric Antigen Receptor T Cell Therapy For Treatment & Translation.” 2017. Web. 22 Jan 2021.

Vancouver:

Panjwani MK. Development Of Canine Chimeric Antigen Receptor T Cell Therapy For Treatment & Translation. [Internet] [Thesis]. University of Pennsylvania; 2017. [cited 2021 Jan 22]. Available from: https://repository.upenn.edu/edissertations/2513.

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

Council of Science Editors:

Panjwani MK. Development Of Canine Chimeric Antigen Receptor T Cell Therapy For Treatment & Translation. [Thesis]. University of Pennsylvania; 2017. Available from: https://repository.upenn.edu/edissertations/2513

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

University of Tennessee – Knoxville

21. Levy, Benjamin Anthony. Modeling Feral Hogs in Great Smoky Mountains National Park.

Degree: 2016, University of Tennessee – Knoxville

URL: https://trace.tennessee.edu/utk_graddiss/3656

► Feral Hogs (Sus scrofa) are an invasive species that have occupied the Great Smoky Mountains National Park since the early 1900s. Recent studies have revitalized… (more)

Subjects/Keywords: Sus scrofa; metapopulation model; niche model; Great Smoky Mountains; pseudorabies; infectious disease model; Dynamic Systems; Other Applied Mathematics; Other Ecology and Evolutionary Biology; Population Biology

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Levy, B. A. (2016). Modeling Feral Hogs in Great Smoky Mountains National Park. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/3656

Chicago Manual of Style (16^th Edition):

Levy, Benjamin Anthony. “Modeling Feral Hogs in Great Smoky Mountains National Park.” 2016. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed January 22, 2021. https://trace.tennessee.edu/utk_graddiss/3656.

MLA Handbook (7^th Edition):

Levy, Benjamin Anthony. “Modeling Feral Hogs in Great Smoky Mountains National Park.” 2016. Web. 22 Jan 2021.

Vancouver:

Levy BA. Modeling Feral Hogs in Great Smoky Mountains National Park. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2016. [cited 2021 Jan 22]. Available from: https://trace.tennessee.edu/utk_graddiss/3656.

Council of Science Editors:

Levy BA. Modeling Feral Hogs in Great Smoky Mountains National Park. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2016. Available from: https://trace.tennessee.edu/utk_graddiss/3656

University of Saskatchewan

22. Zhang, Qian. Application and evaluation of local and global analysis for dynamic models of infectious disease spread.

Degree: 2008, University of Saskatchewan

URL: http://hdl.handle.net/10388/etd-12082008-154626

► In this thesis, we applied local analysis tools (eigenvalue and eigenvalue elasticity analysis, global function elasticity/sensitivity analysis), and global analysis tools (deriving the location and… (more)

▼ In this thesis, we applied local analysis tools (eigenvalue and eigenvalue elasticity analysis, global function elasticity/sensitivity analysis), and global analysis tools (deriving the location and stability of fixed points) to both aggregate and individual-level dynamic models of infectious diseases. We sought to use these methods to gain insight into the models and to evaluate the use of these methods to study their short-term and long-term dynamics and the influences of arameters on the models. We found that eigenvalues are effective for understanding short-term behaviours of a nonlinear system, but less effective in providing insights of the long-term impacts of a parameter change on its behaviours. In term of disease control, local changes of behaviours, yielded from the changes of parameters based on eigenvalue elasticity, are able to alter behaviours in a short-term, especially in the period of a disease outbreak. While eigenvalue elasticity analysis can be helpful for understanding the impact of parameter changes for simple aggregate models, such analyses prove unwieldy and complicated, particularly for models with large number of state variables; and easily fall prey to eigenvalue multiplicity problems for large individual-based models, and istracting artifacts associated with small denominators. In response to these concerns, we introduced other local methods (global function elasticity/sensitivity analyses) that capture many of the advantages of eigenvalue elasticity methods with much greater simplicity. Unfortunately, parameter changes guided by these local analysis techniques are often insufficient to alter behaviours in the longer-term, such as when system behaviours approach stable endemic equilibria. By contrast, the global analytic tools, such as fixed point location and stability analysis, are effective for providing insights into the global behaviours of disease spread in the long-term, as well as their dependence on parameters. Using all of the above analysis as a toolset, we gained some possible insights into combination of local and global approaches. Choice of applying local or global analysis tools to infectious disease models is dependent on the specific target of policy makers as well as model type. Advisors/Committee Members: Osgood, Nathaniel, Grassmann, Winfried K., Stanley, Kevin, Spiteri, Raymond J., Willoughby, Keith.

Subjects/Keywords: Infectious Disease Model; Eigenvalue Analysis; Eigenvalue Elasticity; Global Function Elasticity; Equilibria; Stability

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Zhang, Q. (2008). Application and evaluation of local and global analysis for dynamic models of infectious disease spread. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/etd-12082008-154626

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):

Zhang, Qian. “Application and evaluation of local and global analysis for dynamic models of infectious disease spread.” 2008. Thesis, University of Saskatchewan. Accessed January 22, 2021. http://hdl.handle.net/10388/etd-12082008-154626.

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

MLA Handbook (7^th Edition):

Zhang, Qian. “Application and evaluation of local and global analysis for dynamic models of infectious disease spread.” 2008. Web. 22 Jan 2021.

Vancouver:

Zhang Q. Application and evaluation of local and global analysis for dynamic models of infectious disease spread. [Internet] [Thesis]. University of Saskatchewan; 2008. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10388/etd-12082008-154626.

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

Council of Science Editors:

Zhang Q. Application and evaluation of local and global analysis for dynamic models of infectious disease spread. [Thesis]. University of Saskatchewan; 2008. Available from: http://hdl.handle.net/10388/etd-12082008-154626

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

23. Huang, Yanyun. Is Porcine Periweaning Failure-to-Thrive Syndrome an Infectious Diseases?.

Degree: 2013, University of Saskatchewan

URL: http://hdl.handle.net/10388/ETD-2013-12-1372

► Porcine Periweaning Failure-to-Thrive syndrome (PFTS) is a clinical syndrome of newly weaned pigs with unknown etiology and characterized by anorexia, lethargy and progressive debilitation. The… (more)

▼ Porcine Periweaning Failure-to-Thrive syndrome (PFTS) is a clinical syndrome of newly weaned pigs with unknown etiology and characterized by anorexia, lethargy and progressive debilitation. The hypothesis of this thesis is that PFTS is an infectious disease. Investigation in an index farm affected by PFTS from Saskatchewan Canada ruled out most common swine pathogens as the etiology and identified several lesions that were consistent across many cases. A larger study including multiple farms in North America was then undertaken. A total of 8 farms were investigated, within which 5 met the clinical definition of PFTS. Gross and histological examinations were performed on 8 case and 4 control pigs on each farm. Detection of relevant porcine pathogens, complete blood count, serum chemistry, and serum cytokine analysis were performed on each pig. Thymic atrophy, superficial gastritis and small intestinal villous atrophy were significantly more prevalent in case pigs compared to control pigs. All case pigs had at least two of these three lesions. All case and control pigs were negative for porcine reproductive and respiratory syndrome virus, swine influenza virus and were free of porcine circovirus associated diseases. Although several pathogens, such as porcine cytomegalovirus, haemagglutinating encephalomyelitis virus, porcine enteric calicivirus, group A rotavirus, enteroviruses and Cystoisospora suis were detected in some of the case and control pigs, none were associated with clinical status. Clinical pathology findings of case pigs was consistent with anorexia and dehydration, such as increases in haematocrit, blood urea, serum bilirubin, albumin, beta-hydroxybutyrate and decreases in blood glucose, calcium and phosphorous. Case pigs had similar levels to IL1-β than control pigs, which suggested that PFTS was not a result of excessive cytokines. In subsequent experiments, a snatched-farrowed porcine-colostrum-deprived (SF-pCD) pig model was developed and tissue homogenates were used to inoculate SF-pCD pigs in an attempt to reproduce the clinical signs of PFTS. The SF-pCD pigs were immunologically characterized and shown to be suitable for inoculation studies. However, inoculation of tissue homogenate from PFTS pigs failed to reproduce the clinical signs of PFTS in SF-pCD pigs. All together, PFTS is a clinical syndrome with consistent pathological and serum analytical changes among affected pigs. Despite the efforts of this research to establish an infectious etiology, there is a lack of evidence that PFTS is an infectious disease. Advisors/Committee Members: Harding, John, Hill, Janet, Simko, Elemir, Haines, Deborah, Ellis, John, Waldner, Cheryl, Stooky, Joeseph.

Subjects/Keywords: Porcine; failure-to-thrive; starvation; infectious disease; pathology; animal model

…28 1.4.3. Modern guidelines for establishing infectious disease causation… …swine infectious disease research… …that PFTS is an infectious disease. In an infectious disease, the causative organism is… …126 Snatch-farrowed, porcine-colostrum-deprived (SF-pCD) pigs as a model for… …success of aerosolized lime did, however, provide some evidence that an infectious organism…

10 more images…

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Huang, Y. (2013). Is Porcine Periweaning Failure-to-Thrive Syndrome an Infectious Diseases?. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/ETD-2013-12-1372

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):

Huang, Yanyun. “Is Porcine Periweaning Failure-to-Thrive Syndrome an Infectious Diseases?.” 2013. Thesis, University of Saskatchewan. Accessed January 22, 2021. http://hdl.handle.net/10388/ETD-2013-12-1372.

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

MLA Handbook (7^th Edition):

Huang, Yanyun. “Is Porcine Periweaning Failure-to-Thrive Syndrome an Infectious Diseases?.” 2013. Web. 22 Jan 2021.

Vancouver:

Huang Y. Is Porcine Periweaning Failure-to-Thrive Syndrome an Infectious Diseases?. [Internet] [Thesis]. University of Saskatchewan; 2013. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10388/ETD-2013-12-1372.

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

Council of Science Editors:

Huang Y. Is Porcine Periweaning Failure-to-Thrive Syndrome an Infectious Diseases?. [Thesis]. University of Saskatchewan; 2013. Available from: http://hdl.handle.net/10388/ETD-2013-12-1372

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

Iowa State University

24. Powell, Ellis Jordan. Development of the naturally occurring Severe Combined Immunodeficient pig model of Iowa State University with an emphasis on characterization and immunological exploration of porcine Natural Killer cells.

Degree: 2017, Iowa State University

URL: https://lib.dr.iastate.edu/etd/16105

► A Severe Combined Immunodeficient (SCID) Yorkshire pig line has been identified at Iowa State University. Since SCID animals lack an adaptive immune system they are… (more)

▼ A Severe Combined Immunodeficient (SCID) Yorkshire pig line has been identified at Iowa State University. Since SCID animals lack an adaptive immune system they are instrumental models for biomedical and immunological research. An important goal for this thesis and for development of the ISU SCID pig is to characterize its natural immune parameters, and use the SCID pig as a biomedical model for exploring research questions. To establish a SCID colony that can reliably and efficiently produce SCID animals, bone marrow transplantations were performed to create immune-competent, genetically SCID, breeding animals. Interestingly, three of these BMT pigs were diagnosed with cancer; two with lymphoma, one with additional leukemia, and a nephroblastoma. This suggests the SCID pig may be interesting as a cancer model. Another major component in developing the SCID colony was the creation of the “bubble” facilities and associated protocols. Two bubbles were designed to limit the exposure of SCID piglets to opportunistic pathogens. This facilitates the production of specific pathogen free (SPF) SCID piglets and non-SCID littermates for further characterization and model development for use in immunological and biomedical research. The SCID pig lacks T and B lymphocytes but has Natural Killer (NK) cells present. The functionality of NK cells has important implications for engraftment success for SCID patients and the extent of immunity present in the animal. It was important to determine the functionality of the SCID porcine NK cell. We found SCID NK cells could be activated to lyse tumor target cells (cytotoxicity) in vitro when activated with stimulating cytokines, and are capable of producing IFN- and intracellular perforin. We concluded that intrinsically, SCID NK cells are functional in vitro. Research has established murine NK cells can exhibit memory-like behavior. Methods illustrating specific, long-lived memory responses include hapten-induced contact hypersensitivity (CHS). To establish CHS responses exist in swine, commercial pigs were sensitized on the back and re-challenged by ear injection with hapten and control combinations. CHS responses, measured as hapten specific ear swelling, showed hapten specific memory exists in the swine model, and consistent with the mouse literature, was associated with increased activation of hepatic NK cell.

Subjects/Keywords: Contact Hypersensitivity; Large Animal Model; Memory; NK cells; Pig; SCID; Allergy and Immunology; Animal Diseases; Genetics; Immunology and Infectious Disease; Medical Immunology

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Powell, E. J. (2017). Development of the naturally occurring Severe Combined Immunodeficient pig model of Iowa State University with an emphasis on characterization and immunological exploration of porcine Natural Killer cells. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/16105

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):

Powell, Ellis Jordan. “Development of the naturally occurring Severe Combined Immunodeficient pig model of Iowa State University with an emphasis on characterization and immunological exploration of porcine Natural Killer cells.” 2017. Thesis, Iowa State University. Accessed January 22, 2021. https://lib.dr.iastate.edu/etd/16105.

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

MLA Handbook (7^th Edition):

Powell, Ellis Jordan. “Development of the naturally occurring Severe Combined Immunodeficient pig model of Iowa State University with an emphasis on characterization and immunological exploration of porcine Natural Killer cells.” 2017. Web. 22 Jan 2021.

Vancouver:

Powell EJ. Development of the naturally occurring Severe Combined Immunodeficient pig model of Iowa State University with an emphasis on characterization and immunological exploration of porcine Natural Killer cells. [Internet] [Thesis]. Iowa State University; 2017. [cited 2021 Jan 22]. Available from: https://lib.dr.iastate.edu/etd/16105.

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

Council of Science Editors:

Powell EJ. Development of the naturally occurring Severe Combined Immunodeficient pig model of Iowa State University with an emphasis on characterization and immunological exploration of porcine Natural Killer cells. [Thesis]. Iowa State University; 2017. Available from: https://lib.dr.iastate.edu/etd/16105

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

Virginia Tech

25. Telionis, Pyrros A. Novel Applications of Geospatial Analysis in the Modeling of Infectious Diseases.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2019, Virginia Tech

URL: http://hdl.handle.net/10919/89432

► The focus of this work is called “spatial epidemiology”, which combines geography with public health, to answer the where, and why, of disease. This is… (more)

▼ The focus of this work is called “spatial epidemiology”, which combines geography with public health, to answer the where, and why, of disease. This is a growing field, and you’ve likely seen it in the news and media. Have you ever seen a map of the United States turning red in some virus disaster movie? The real thing looks a lot like that. After the Ebola outbreak of 2014, public health agencies wanted to know where the next one might hit. Now that there is another outbreak, we need to ask where and how will it spread? What areas are hardest hit, and how bad is it going to get? We can answer all these questions with spatial epidemiology. Our work adds to two aspects of spatial epidemiology: niche modeling, and mobility. We use niche modeling to determine where we could find certain diseases, usually those that are spread by insects or animals. Consider Lyme disease, you get it from the bite of a tick, and the tick gets it from a white-footed mouse. But both the mice and ticks only live in certain parts of the country. With niche modeling we can determine where those are, and we can also guess at what makes those areas attractive to the mice and ticks. Is it winter harshness, summer temperatures, rainfall, and/or elevation? Is it something else? In Chapter 2, we show that you can extend this idea. Instead of just looking at where the disease is, what if we could guess how many people will get infected? What if we could do so, a year in advance? We show that this can be done, but we need a good idea of what the weather will be like next year. In Chapter 4, we show that you can do the same thing with hepatitis C. Instead of Lyme’s ticks and mice, hepatitis C depends on drug-use, unregulated tattooing, and unsafe sex. And like with Lyme, these things are only found in certain places. Instead of temperature or rainfall, we now need to find areas with drug-problems and poverty. But we can get an idea of this from the Census Bureau, and we can make a map of hepatitis C as easily as we did for Lyme. But hepatitis C spreads person-to-person. So, we need some idea of how people move around the area. This is where mobility comes in. Mobility is important for most public health work, from detecting outbreaks to estimating where the disease will spread next. In Chapter 3, we show how one could create a mobility model for a rural area where few maps exist. We also show how to use that model to guess where the next cases of Ebola will show up. In Chapter 4, we show how you could use mobility to improve outbreak and hotspot detection. We also show how it’s used to help estimate the number of cases in an area. Because that number depends on how many cases are imported from the surrounding areas. And the only way to estimate that is with mobility. Advisors/Committee Members: Lewis, Bryan L. (committeechair), Eubank, Stephen G. (committeechair), Abbas, Kaja M. (committee member), Kolivras, Korine N. (committee member).

Subjects/Keywords: Autocovariate; Ebola; Forecast; GIS; Gravity Model; Hepatitis C; Incidence; Infectious Disease; Melioidosis; Metapopulation-Patch; Mobility; Social Transmission Niche; Spatial Autocorrelation; Spatial Epidemiology; Travel Network.

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Telionis, P. A. (2019). Novel Applications of Geospatial Analysis in the Modeling of Infectious Diseases. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/89432

Chicago Manual of Style (16^th Edition):

Telionis, Pyrros A. “Novel Applications of Geospatial Analysis in the Modeling of Infectious Diseases.” 2019. Doctoral Dissertation, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/89432.

MLA Handbook (7^th Edition):

Telionis, Pyrros A. “Novel Applications of Geospatial Analysis in the Modeling of Infectious Diseases.” 2019. Web. 22 Jan 2021.

Vancouver:

Telionis PA. Novel Applications of Geospatial Analysis in the Modeling of Infectious Diseases. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/89432.

Council of Science Editors:

Telionis PA. Novel Applications of Geospatial Analysis in the Modeling of Infectious Diseases. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/89432

26. Harer, Kathleen M. A mathematical model of the spread of Batrachochytrium dendrobatidis in the Cascades frog (Rana cascadae).

Degree: MS, Environmental Systems: Mathematical Modeling, 2014, Humboldt State University

URL: http://hdl.handle.net/10211.3/134781

► Over recent decades the chytrid fungus Batrachochytrium dendrobatidis has been the cause of wide-spread disease in many amphibian populations. This study models the long term… (more)

Subjects/Keywords: Batrachochytrium dendrobatidis; Chytrid; Chytridiomycosis; Cascades frog; Rana cascadae; Mathematical model; Infectious disease; Disease model

…infectious disease currently associated with population declines of multiple species” (Green… …disease and stress brought on by environmental and infectious factors in the larval stage can… …model the spread of the disease. Simulations were run using varied sets of parameters to show… …Overwinter Disease transmission mortality The model includes tadpole, juvenile, and adult stages… …adults in a disease free population. There were several assumptions made in the model. It was…

10 more images…

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Harer, K. M. (2014). A mathematical model of the spread of Batrachochytrium dendrobatidis in the Cascades frog (Rana cascadae). (Masters Thesis). Humboldt State University. Retrieved from http://hdl.handle.net/10211.3/134781

Chicago Manual of Style (16^th Edition):

Harer, Kathleen M. “A mathematical model of the spread of Batrachochytrium dendrobatidis in the Cascades frog (Rana cascadae).” 2014. Masters Thesis, Humboldt State University. Accessed January 22, 2021. http://hdl.handle.net/10211.3/134781.

MLA Handbook (7^th Edition):

Harer, Kathleen M. “A mathematical model of the spread of Batrachochytrium dendrobatidis in the Cascades frog (Rana cascadae).” 2014. Web. 22 Jan 2021.

Vancouver:

Harer KM. A mathematical model of the spread of Batrachochytrium dendrobatidis in the Cascades frog (Rana cascadae). [Internet] [Masters thesis]. Humboldt State University; 2014. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10211.3/134781.

Council of Science Editors:

Harer KM. A mathematical model of the spread of Batrachochytrium dendrobatidis in the Cascades frog (Rana cascadae). [Masters Thesis]. Humboldt State University; 2014. Available from: http://hdl.handle.net/10211.3/134781

27. Lang, John. Mathematical Modelling of Social Factors in Decision Making Processes at the Individual and Population Levels.

Degree: 2016, University of Waterloo

URL: http://hdl.handle.net/10012/10627

► In this thesis we apply mathematical modelling techniques to investigate the implications of social influence on decision making processes in two related contexts. The first… (more)

▼ In this thesis we apply mathematical modelling techniques to investigate the implications of social influence on decision making processes in two related contexts. The first problem concerns the mathematical modelling of civil unrest. We consider the collective action problem facing individuals who are deciding whether or not to join a political revolution or protest in a dictatorial regime that employs censorship and repression. In studying this problem we develop both a population-level model and a network-based individual-level (or agent-based) model. The population-level model establishes a conceptual framework that can be used to understand the role that new communication technologies (e.g. the Internet, satellite television, Short Message Service (SMS) text messaging, social media, etc.) may have played in facilitating the political revolutions of the Arab Spring. We establish the consistency between the individual-level model and the population-level model, and show methodologically how these two modelling strategies can be applied to complement one another, establishing a hierarchy of differential equation models that explicitly take the structure of the social network into account. Finally, using proxy network data for network structure pre- and post-adoption of new communication technologies, we perform small-scale computational simulations of our individual-level model in order to establish quantitative evidence that the political revolutions of the Arab Spring may have been facilitated by new communication technologies. The second problem concerns the spread of smoking and obesity in populations. We consider two conformity problems that individuals face when deciding whether to join one population sub-group over another (or possibly over many others) in the context of two non-communicable diseases. We begin by studying the smoking epidemic over the past century, where individuals are given the choice to smoke or not to smoke. We establish a new data set for smoking prevalence over the past century in seven developed countries and use it to calibrate a population-level mathematical model for the dynamics of smoking prevalence. We compare our model's predictions to an independently established measure of individualism/collectivism, i.e. Hofstede's Individualism versus Collectivism (IDV) measure, and find evidence that a society's culture can have a quantitative effect on the spread of a contagion. Finally, we study the dynamics of individuals' body mass index (BMI - defined as weight divided by height squared). We establish an individual-level model that also has implications at the population level. At the population level our model fits empirical BMI distributions better than the log-normal and skew-normal distribution functions, i.e. two distributions commonly used to fit right-skewed data, and provides a mechanistic explanation for the right-skewness observed in empirical BMI distributions. At the individual level our model is able to reproduce the average and standard deviation in individuals'…

Subjects/Keywords: Arab Spring; dynamical systems; compartmental model; revolution; protest; agent-based model; linear threshold model; social network; complex contagion; smoking; individualism; mathematical modelling; social dynamics; non-infectious disease; obesity; body mass index; equilibrium distribution; Langevin equation; Fokker Planck equation; conformity problem; collective action problem

3 more images…

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Lang, J. (2016). Mathematical Modelling of Social Factors in Decision Making Processes at the Individual and Population Levels. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10627

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):

Lang, John. “Mathematical Modelling of Social Factors in Decision Making Processes at the Individual and Population Levels.” 2016. Thesis, University of Waterloo. Accessed January 22, 2021. http://hdl.handle.net/10012/10627.

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

MLA Handbook (7^th Edition):

Lang, John. “Mathematical Modelling of Social Factors in Decision Making Processes at the Individual and Population Levels.” 2016. Web. 22 Jan 2021.

Vancouver:

Lang J. Mathematical Modelling of Social Factors in Decision Making Processes at the Individual and Population Levels. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10012/10627.

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

Council of Science Editors:

Lang J. Mathematical Modelling of Social Factors in Decision Making Processes at the Individual and Population Levels. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/10627

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

RMIT University

28. Johnstone-Robertson, S. Disease emergence and dynamics on biologically motivated contact networks.

Degree: 2017, RMIT University

URL: http://researchbank.rmit.edu.au/view/rmit:162413

► Infectious disease transmission requires that epidemiologically relevant contact occurs between infectious and susceptible individuals. Thus, for mathematical models to accurately predict disease emergence and dynamics… (more)

▼ Infectious disease transmission requires that epidemiologically relevant contact occurs between infectious and susceptible individuals. Thus, for mathematical models to accurately predict disease emergence and dynamics they must incorporate the contact patterns responsible for transmission. In this context, this thesis investigates how the level of contact detail included in an infectious disease model influences its predictions. Three models are considered. The first investigates infections spreading through territorial populations, with potential canine rabies spread in Australian wild dogs a case study. Two factors governing wild dog contacts are considered: geographic distance and heterogeneous wild dog behaviour. Not including spatial constraints results in a model that overestimates the probability of an epidemic and that fails to generate the outcome 'rate of spread'. Conversely, not incorporating heterogeneous dog behaviour results in a model that underestimates the probability an epidemic will occur. The second model investigates tick-borne pathogen spread between ticks and vertebrate hosts. Key features of tick feeding behaviour include: tick aggregation on hosts, co-aggregation of larval and nymphal ticks on the same hosts, and co-feeding. Co-aggregation increases R0. Models failing to incorporate tick co-aggregation will therefore underestimate the likelihood of pathogen emergence, especially in geographic regions and seasons where larval burden is high and for pathogens mainly transmitted during co-feeding. The third model investigates the effect of clustering (triangle and square contact patterns) on the spread of infection through social networks. Clustering reduces R0 and the magnitude of the reduction increases with higher transmission probabilities. Models that fail to incorporate clustering will overestimate the likelihood of disease establishment, especially for highly transmissible diseases. In conclusion, the three disease models collectively reveal model predictions are improved and additional outcomes are generated by the inclusion of realistic host contact patterns. These findings reinforce the value of incorporating biologically-faithful contact patterns into infectious disease models.

Subjects/Keywords: Fields of Research; contact patterns; infectious disease model; basic reproduction number; R0; canine rabies; Australian wild dogs; dingos; dingoes; spatial model; heterogeneity; tick-borne pathogens; aggregation; co-aggregation; co-feeding; clustering; social networks

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Johnstone-Robertson, S. (2017). Disease emergence and dynamics on biologically motivated contact networks. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:162413

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):

Johnstone-Robertson, S. “Disease emergence and dynamics on biologically motivated contact networks.” 2017. Thesis, RMIT University. Accessed January 22, 2021. http://researchbank.rmit.edu.au/view/rmit:162413.

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

MLA Handbook (7^th Edition):

Johnstone-Robertson, S. “Disease emergence and dynamics on biologically motivated contact networks.” 2017. Web. 22 Jan 2021.

Vancouver:

Johnstone-Robertson S. Disease emergence and dynamics on biologically motivated contact networks. [Internet] [Thesis]. RMIT University; 2017. [cited 2021 Jan 22]. Available from: http://researchbank.rmit.edu.au/view/rmit:162413.

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

Council of Science Editors:

Johnstone-Robertson S. Disease emergence and dynamics on biologically motivated contact networks. [Thesis]. RMIT University; 2017. Available from: http://researchbank.rmit.edu.au/view/rmit:162413

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

University of Michigan

29. Chang, Stewart T. Multi-Scale Modeling of Antigen Presentation With Applications to Tuberculosis.

Degree: PhD, Bioinformatics, 2007, University of Michigan

URL: http://hdl.handle.net/2027.42/57605

► Antigen presentation is the process by which cells of the immune system display peptides from pathogens on their surface after binding the peptides to major… (more)

▼ Antigen presentation is the process by which cells of the immune system display peptides from pathogens on their surface after binding the peptides to major histocompatibility complex (MHC) molecules. T helper cells recognize peptides from pathogens in this context then secrete cytokines that activate other cells, initiating an immune response. Antigen presentation is therefore a requisite for immunity to several pathogens including Mycobacterium tuberculosis (Mtb). To approach questions related to antigen presentation and disease, I represented antigen presentation at different scales using a series of mathematical and statistical models. At the molecular scale, I asked whether heterogeneity in peptide length affects binding to MHC class II, the class of MHC responsible for binding peptides from bacteria such as Mtb. By developing statistical models of peptide-MHC binding, I found that length has a nonlinear effect on binding affinity and that this information, or a more accurate representation of register shifting, could improve the accuracy of binding prediction. At the cellular scale, I asked why Mtb possesses multiple mechanisms to inhibit antigen presentation on the cell surface. My mathematical model shows that these mechanisms may be acting on different timescales and therefore complementary rather than merely redundant. Finally, at the multi-cellular level, I asked how polymorphisms in multiple genes related to antigen presentation might affect T cell response and susceptibility to infectious diseases such as tuberculosis. Using a multi-scale model representing both an antigen-presenting cell and T cell, I found that polymorphisms in two different genes may exert the same influence on the output, potentially canceling out their effects. Future work with these models may include evaluation of candidate peptide-based vaccines to ensure high-affinity binding, T cell response, and broad efficacy in diverse populations. Advisors/Committee Members: Kirschner, Denise E. (committee member), Linderman, Jennifer J. (committee member), Burns Jr, Daniel M. (committee member), Raghavan, Malini (committee member).

Subjects/Keywords: Mathematical Model; Statistical Model; Immune Response; Major Histocompatibility Complex; Infectious Disease; Genetic Polymorphism; Health Sciences

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Chang, S. T. (2007). Multi-Scale Modeling of Antigen Presentation With Applications to Tuberculosis. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/57605

Chicago Manual of Style (16^th Edition):

Chang, Stewart T. “Multi-Scale Modeling of Antigen Presentation With Applications to Tuberculosis.” 2007. Doctoral Dissertation, University of Michigan. Accessed January 22, 2021. http://hdl.handle.net/2027.42/57605.

MLA Handbook (7^th Edition):

Chang, Stewart T. “Multi-Scale Modeling of Antigen Presentation With Applications to Tuberculosis.” 2007. Web. 22 Jan 2021.

Vancouver:

Chang ST. Multi-Scale Modeling of Antigen Presentation With Applications to Tuberculosis. [Internet] [Doctoral dissertation]. University of Michigan; 2007. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/2027.42/57605.

Council of Science Editors:

Chang ST. Multi-Scale Modeling of Antigen Presentation With Applications to Tuberculosis. [Doctoral Dissertation]. University of Michigan; 2007. Available from: http://hdl.handle.net/2027.42/57605

Universiteit Utrecht

30. Klinkenberg, Dieudonné. Mathematical epidemiology and the control of classical swine fever virus.

Degree: 2003, Universiteit Utrecht

URL: http://dspace.library.uu.nl:8080/handle/1874/301

► The thesis describes epidemiological research carried out to improve the control of classical swine fever virus (CSFV) epidemics. First, control measures and strategies are investigated… (more)

▼ The thesis describes epidemiological research carried out to improve the control of classical swine fever virus (CSFV) epidemics. First, control measures and strategies are investigated in order to enable quick and adequate action upon CSFV detection. CSFV transmission experiments are described, as well as a mathematical model of CSFV transmission between herds, both used to assess the effectiveness of the E2 subunit marker vaccines with respect to CSFV transmission. Quantification of the effectiveness was done with the basic reproduction ratio Ri (Rh), defined as the number of animals (herds) that is infected by one typical infectious animal (herd) in a completely susceptible population. The transmission experiments pointed out that Ri decreases to below the threshold value 1 as of three weeks after vaccination until at least six months after vaccination. Already one week after vaccination of a pig herd, virus entry will lead to only minor outbreaks. It appeared that the presence of maternal antibodies at the time of vaccination may reduce the antibody levels at later age, but these lower levels still keep Ri below 1. Because vertical transmission is not completely blocked by the vaccine, persistently infected piglets might be born on vaccinated herds. These herds cannot be clinically detected and might thus be a risk for further virus spread. Detection will be possible if some animals, e.g. the breeding sows, on those herds remain unvaccinated. Whether that would lead to an effective control strategy was tested in a mathematical model of CSFV transmission. The model was based on the Dutch CSFV epidemic of 1997/1998, with a moderately virulent virus strain in a pig dense area with relatively many multiplier herds. The model results point out that an effective control strategy (Rh < 1) requires a complete prohibition of transport of unvaccinated animals. Moreover, in addition to the control measures that are obliged by EU legislation (like the tracing of infectious contacts and hygiene measures), the virus transmission between herds should be halved, e.g. by vaccinating 50% of all pig herds. If all animals but the breeding sows would be vaccinated, the demands for a successful control strategy are well met. In addition to the investigation of control measures and strategies, a tool was tested, which had been developed to analyse the effectiveness of the control strategy in an ongoing epidemic. The tool was designed to use data of an ongoing epidemic for estimation of Rh and the number of infected, yet undetected herds. The only data needed for the calculations are the numbers of detected herds in each week of the epidemic. Unfortunately, the only result the model could generate was whether Rh was smaller or larger than 1. Further mathematical research is needed to understand the shortcomings. Until then, some extra data might be used, e.g. an estimate of the number of infected herds at the day of the first detection, or an estimate of the average time between infection of a herd and detection.

Subjects/Keywords: Diergeneeskunde; classical swine fever virus; infectious disease; subunit vaccine; veterinary epidemiology; mathematical model; transmission experiment; basic reproduction ratio

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Klinkenberg, D. (2003). Mathematical epidemiology and the control of classical swine fever virus. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/301

Chicago Manual of Style (16^th Edition):

Klinkenberg, Dieudonné. “Mathematical epidemiology and the control of classical swine fever virus.” 2003. Doctoral Dissertation, Universiteit Utrecht. Accessed January 22, 2021. http://dspace.library.uu.nl:8080/handle/1874/301.

MLA Handbook (7^th Edition):

Klinkenberg, Dieudonné. “Mathematical epidemiology and the control of classical swine fever virus.” 2003. Web. 22 Jan 2021.

Vancouver:

Klinkenberg D. Mathematical epidemiology and the control of classical swine fever virus. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2003. [cited 2021 Jan 22]. Available from: http://dspace.library.uu.nl:8080/handle/1874/301.

Council of Science Editors:

Klinkenberg D. Mathematical epidemiology and the control of classical swine fever virus. [Doctoral Dissertation]. Universiteit Utrecht; 2003. Available from: http://dspace.library.uu.nl:8080/handle/1874/301

Open Access Theses and Dissertations