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You searched for subject:(influenza forecasting). Showing records 1 – 10 of 10 total matches.

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University of Alberta

1. Amissah, Jeannette. Predicting the Peak of Influenza Cases by Geograhic Zones in Alberta.

Degree: MS, Department of Mathematical and Statistical Sciences, 2016, University of Alberta

Influenza or the ‘flu’ can affect people from all walks of life. The burden from influenza epidemics puts tremendous pressure on health services and other… (more)

Subjects/Keywords: Influenza peak prediction; influenza model; influenza forecasting models; contact mixing matrix

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

APA (6th Edition):

Amissah, J. (2016). Predicting the Peak of Influenza Cases by Geograhic Zones in Alberta. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/crj4304691

Chicago Manual of Style (16th Edition):

Amissah, Jeannette. “Predicting the Peak of Influenza Cases by Geograhic Zones in Alberta.” 2016. Masters Thesis, University of Alberta. Accessed December 14, 2019. https://era.library.ualberta.ca/files/crj4304691.

MLA Handbook (7th Edition):

Amissah, Jeannette. “Predicting the Peak of Influenza Cases by Geograhic Zones in Alberta.” 2016. Web. 14 Dec 2019.

Vancouver:

Amissah J. Predicting the Peak of Influenza Cases by Geograhic Zones in Alberta. [Internet] [Masters thesis]. University of Alberta; 2016. [cited 2019 Dec 14]. Available from: https://era.library.ualberta.ca/files/crj4304691.

Council of Science Editors:

Amissah J. Predicting the Peak of Influenza Cases by Geograhic Zones in Alberta. [Masters Thesis]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/crj4304691


Virginia Tech

2. Nsoesie, Elaine O. Sensitivity Analysis and Forecasting in Network Epidemiology Models.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2012, Virginia Tech

 In recent years, several methods have been proposed for real-time modeling and forecasting of the epidemic curve. These methods range from simple compartmental models to… (more)

Subjects/Keywords: sensitivity analysis; computational epidemiology; influenza; network models; epidemic forecasting

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APA (6th Edition):

Nsoesie, E. O. (2012). Sensitivity Analysis and Forecasting in Network Epidemiology Models. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/37620

Chicago Manual of Style (16th Edition):

Nsoesie, Elaine O. “Sensitivity Analysis and Forecasting in Network Epidemiology Models.” 2012. Doctoral Dissertation, Virginia Tech. Accessed December 14, 2019. http://hdl.handle.net/10919/37620.

MLA Handbook (7th Edition):

Nsoesie, Elaine O. “Sensitivity Analysis and Forecasting in Network Epidemiology Models.” 2012. Web. 14 Dec 2019.

Vancouver:

Nsoesie EO. Sensitivity Analysis and Forecasting in Network Epidemiology Models. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/10919/37620.

Council of Science Editors:

Nsoesie EO. Sensitivity Analysis and Forecasting in Network Epidemiology Models. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/37620

3. Akupatni, Vivek Bharath. My4Sight: A Human Computation Platform for Improving Flu Predictions.

Degree: MS, Computer Science, 2015, Virginia Tech

 While many human computation (human-in-the-loop) systems exist in the field of Artificial Intelligence (AI) to solve problems that can't be solved by computers alone, comparatively… (more)

Subjects/Keywords: human computation; human-in-the-loop; crowd sourcing; my4sight; influenza forecasting

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APA (6th Edition):

Akupatni, V. B. (2015). My4Sight: A Human Computation Platform for Improving Flu Predictions. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/56579

Chicago Manual of Style (16th Edition):

Akupatni, Vivek Bharath. “My4Sight: A Human Computation Platform for Improving Flu Predictions.” 2015. Masters Thesis, Virginia Tech. Accessed December 14, 2019. http://hdl.handle.net/10919/56579.

MLA Handbook (7th Edition):

Akupatni, Vivek Bharath. “My4Sight: A Human Computation Platform for Improving Flu Predictions.” 2015. Web. 14 Dec 2019.

Vancouver:

Akupatni VB. My4Sight: A Human Computation Platform for Improving Flu Predictions. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/10919/56579.

Council of Science Editors:

Akupatni VB. My4Sight: A Human Computation Platform for Improving Flu Predictions. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/56579


University of Texas – Austin

4. Ramakrishnan, Anurekha. Predicting influenza hospitalizations.

Degree: MSin Statistics, Statistics, 2012, University of Texas – Austin

 Seasonal influenza epidemics are a major public health concern, causing three to five million cases of severe illness and about 250,000 to 500,000 deaths worldwide.… (more)

Subjects/Keywords: Bayesian estimation; Flu forecasting; Influenza hospitalization prediction; Kalman filter

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APA (6th Edition):

Ramakrishnan, A. (2012). Predicting influenza hospitalizations. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/26598

Chicago Manual of Style (16th Edition):

Ramakrishnan, Anurekha. “Predicting influenza hospitalizations.” 2012. Masters Thesis, University of Texas – Austin. Accessed December 14, 2019. http://hdl.handle.net/2152/26598.

MLA Handbook (7th Edition):

Ramakrishnan, Anurekha. “Predicting influenza hospitalizations.” 2012. Web. 14 Dec 2019.

Vancouver:

Ramakrishnan A. Predicting influenza hospitalizations. [Internet] [Masters thesis]. University of Texas – Austin; 2012. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/2152/26598.

Council of Science Editors:

Ramakrishnan A. Predicting influenza hospitalizations. [Masters Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/26598


University of Stirling

5. Marmara, Vincent Anthony. Prediction of Infectious Disease outbreaks based on limited information.

Degree: PhD, 2016, University of Stirling

 The last two decades have seen several large-scale epidemics of international impact, including human, animal and plant epidemics. Policy makers face health challenges that require… (more)

Subjects/Keywords: Epidemiology; SEIR Model; Reproduction number; Influenza Forecasting; Early warning modelling; Influenza survey; Epidemiological modelling; Parameter estimation; Epidemiology; Influenza Epidemiology; Epidemiology Research Statistical methods.

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APA (6th Edition):

Marmara, V. A. (2016). Prediction of Infectious Disease outbreaks based on limited information. (Doctoral Dissertation). University of Stirling. Retrieved from http://hdl.handle.net/1893/24624

Chicago Manual of Style (16th Edition):

Marmara, Vincent Anthony. “Prediction of Infectious Disease outbreaks based on limited information.” 2016. Doctoral Dissertation, University of Stirling. Accessed December 14, 2019. http://hdl.handle.net/1893/24624.

MLA Handbook (7th Edition):

Marmara, Vincent Anthony. “Prediction of Infectious Disease outbreaks based on limited information.” 2016. Web. 14 Dec 2019.

Vancouver:

Marmara VA. Prediction of Infectious Disease outbreaks based on limited information. [Internet] [Doctoral dissertation]. University of Stirling; 2016. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/1893/24624.

Council of Science Editors:

Marmara VA. Prediction of Infectious Disease outbreaks based on limited information. [Doctoral Dissertation]. University of Stirling; 2016. Available from: http://hdl.handle.net/1893/24624

6. LEE HUEY CHYI. Evaluation of real-time methods for epidemic forecasting.

Degree: 2011, National University of Singapore

Subjects/Keywords: epidemic forecasting; influenza; importance sampling; particle filter

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APA (6th Edition):

CHYI, L. H. (2011). Evaluation of real-time methods for epidemic forecasting. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/28081

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

Chicago Manual of Style (16th Edition):

CHYI, LEE HUEY. “Evaluation of real-time methods for epidemic forecasting.” 2011. Thesis, National University of Singapore. Accessed December 14, 2019. http://scholarbank.nus.edu.sg/handle/10635/28081.

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

MLA Handbook (7th Edition):

CHYI, LEE HUEY. “Evaluation of real-time methods for epidemic forecasting.” 2011. Web. 14 Dec 2019.

Vancouver:

CHYI LH. Evaluation of real-time methods for epidemic forecasting. [Internet] [Thesis]. National University of Singapore; 2011. [cited 2019 Dec 14]. Available from: http://scholarbank.nus.edu.sg/handle/10635/28081.

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

Council of Science Editors:

CHYI LH. Evaluation of real-time methods for epidemic forecasting. [Thesis]. National University of Singapore; 2011. Available from: http://scholarbank.nus.edu.sg/handle/10635/28081

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


Iowa State University

7. Ulloa, Nehemias. Bayesian hierarchical modeling for disease outbreaks.

Degree: 2019, Iowa State University

Influenza is a common illness which affects many people every year. In the past few years, we have seen the great impact influenza can have… (more)

Subjects/Keywords: Bayesian Analysis; Forecasting; Functional Data Analysis; Hierarchical Models; Influenza; Shrinkage Priors; Biostatistics; Epidemiology; Statistics and Probability

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

APA (6th Edition):

Ulloa, N. (2019). Bayesian hierarchical modeling for disease outbreaks. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/17590

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

Chicago Manual of Style (16th Edition):

Ulloa, Nehemias. “Bayesian hierarchical modeling for disease outbreaks.” 2019. Thesis, Iowa State University. Accessed December 14, 2019. https://lib.dr.iastate.edu/etd/17590.

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

MLA Handbook (7th Edition):

Ulloa, Nehemias. “Bayesian hierarchical modeling for disease outbreaks.” 2019. Web. 14 Dec 2019.

Vancouver:

Ulloa N. Bayesian hierarchical modeling for disease outbreaks. [Internet] [Thesis]. Iowa State University; 2019. [cited 2019 Dec 14]. Available from: https://lib.dr.iastate.edu/etd/17590.

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

Council of Science Editors:

Ulloa N. Bayesian hierarchical modeling for disease outbreaks. [Thesis]. Iowa State University; 2019. Available from: https://lib.dr.iastate.edu/etd/17590

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


Northeastern University

8. Zhang, Qian. Contagion and ranking processes in complex networks:: the role of geography and interaction strength.

Degree: PhD, Department of Computer Science, 2014, Northeastern University

 The recent global surge in the wide usage of pervasive technologies such as social media, smart phones and other GPS-enabled portable devices has provided abundant… (more)

Subjects/Keywords: complex networks; contangion processes; flu prediction; geolocation; interaction strength; modeling; Computer Sciences; Physics; Computer networks; Research; Geospatial data; Data processing; Geospatial data; Evaluation; Influenza; Forecasting; Communicable diseases; Forecasting

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APA (6th Edition):

Zhang, Q. (2014). Contagion and ranking processes in complex networks:: the role of geography and interaction strength. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/d20005064

Chicago Manual of Style (16th Edition):

Zhang, Qian. “Contagion and ranking processes in complex networks:: the role of geography and interaction strength.” 2014. Doctoral Dissertation, Northeastern University. Accessed December 14, 2019. http://hdl.handle.net/2047/d20005064.

MLA Handbook (7th Edition):

Zhang, Qian. “Contagion and ranking processes in complex networks:: the role of geography and interaction strength.” 2014. Web. 14 Dec 2019.

Vancouver:

Zhang Q. Contagion and ranking processes in complex networks:: the role of geography and interaction strength. [Internet] [Doctoral dissertation]. Northeastern University; 2014. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/2047/d20005064.

Council of Science Editors:

Zhang Q. Contagion and ranking processes in complex networks:: the role of geography and interaction strength. [Doctoral Dissertation]. Northeastern University; 2014. Available from: http://hdl.handle.net/2047/d20005064

9. Kimmey, David L. Feature Extraction to Improve Nowcasting Using Social Media Event Detection on Cloud Computing and Sentiment Analysis.

Degree: 2016, IPFW

  Nowcasting is defined as the prediction of the present, the very near future, and the very recent past using real-time data. Nowcasting with social… (more)

Subjects/Keywords: predicting the present; Twitter; Big Data; Hadoop; influenza forecasting; social media event detection; Amazon Web Service; AWS; economics; nowcasting; cloud computing; sentiment analysis; Computer Sciences; Other Computer Sciences; Theory and Algorithms

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

APA (6th Edition):

Kimmey, D. L. (2016). Feature Extraction to Improve Nowcasting Using Social Media Event Detection on Cloud Computing and Sentiment Analysis. (Masters Thesis). IPFW. Retrieved from http://opus.ipfw.edu/masters_theses/46

Chicago Manual of Style (16th Edition):

Kimmey, David L. “Feature Extraction to Improve Nowcasting Using Social Media Event Detection on Cloud Computing and Sentiment Analysis.” 2016. Masters Thesis, IPFW. Accessed December 14, 2019. http://opus.ipfw.edu/masters_theses/46.

MLA Handbook (7th Edition):

Kimmey, David L. “Feature Extraction to Improve Nowcasting Using Social Media Event Detection on Cloud Computing and Sentiment Analysis.” 2016. Web. 14 Dec 2019.

Vancouver:

Kimmey DL. Feature Extraction to Improve Nowcasting Using Social Media Event Detection on Cloud Computing and Sentiment Analysis. [Internet] [Masters thesis]. IPFW; 2016. [cited 2019 Dec 14]. Available from: http://opus.ipfw.edu/masters_theses/46.

Council of Science Editors:

Kimmey DL. Feature Extraction to Improve Nowcasting Using Social Media Event Detection on Cloud Computing and Sentiment Analysis. [Masters Thesis]. IPFW; 2016. Available from: http://opus.ipfw.edu/masters_theses/46


Queens University

10. Perry, Alexander. Forecasting Hospital Emergency Department Visits for Respiratory Illness Using Ontario's Telehealth System: An Application of Real-Time Syndromic Surveillance to Forecasting Health Services Demand .

Degree: Community Health and Epidemiology, 2009, Queens University

 Background: Respiratory illnesses can have a substantial impact on population health and burden hospitals in terms of patient load. Advance warnings of the spread of… (more)

Subjects/Keywords: Forecasting; Health Services; Respiratory Illness; Surveillance; Telehealth; Syndromic Surveillance; Health Services Demand; Influenza; Parallel Cascade Identification; Fast Orthgonal Search; Subspace Identification; N4SID; State Space Models; System Identification

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

APA (6th Edition):

Perry, A. (2009). Forecasting Hospital Emergency Department Visits for Respiratory Illness Using Ontario's Telehealth System: An Application of Real-Time Syndromic Surveillance to Forecasting Health Services Demand . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/2585

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

Chicago Manual of Style (16th Edition):

Perry, Alexander. “Forecasting Hospital Emergency Department Visits for Respiratory Illness Using Ontario's Telehealth System: An Application of Real-Time Syndromic Surveillance to Forecasting Health Services Demand .” 2009. Thesis, Queens University. Accessed December 14, 2019. http://hdl.handle.net/1974/2585.

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

MLA Handbook (7th Edition):

Perry, Alexander. “Forecasting Hospital Emergency Department Visits for Respiratory Illness Using Ontario's Telehealth System: An Application of Real-Time Syndromic Surveillance to Forecasting Health Services Demand .” 2009. Web. 14 Dec 2019.

Vancouver:

Perry A. Forecasting Hospital Emergency Department Visits for Respiratory Illness Using Ontario's Telehealth System: An Application of Real-Time Syndromic Surveillance to Forecasting Health Services Demand . [Internet] [Thesis]. Queens University; 2009. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/1974/2585.

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

Council of Science Editors:

Perry A. Forecasting Hospital Emergency Department Visits for Respiratory Illness Using Ontario's Telehealth System: An Application of Real-Time Syndromic Surveillance to Forecasting Health Services Demand . [Thesis]. Queens University; 2009. Available from: http://hdl.handle.net/1974/2585

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

.