A Framework for Detecting and Classifying Outbreaks of Gastrointestinal Disease

Authors

  • Kathryn Morrison Epidemiology & Biostatistics, McGill University, Montreal, Quebec, CANADA
  • Katia Charland Epidemiology & Biostatistics, McGill University, Montreal, Quebec, CANADA
  • Anya Okhmatovskaia Epidemiology & Biostatistics, McGill University, Montreal, Quebec, CANADA
  • David Buckeridge Epidemiology & Biostatistics, McGill University, Montreal, Quebec, CANADA

DOI:

https://doi.org/10.5210/ojphi.v5i1.4417

Abstract

Outbreaks of gastrointestinal disease occur with some frequency in North America, resulting in considerably morbidity, mortality, and cost. Outbreak detection can be improved by using simulated outbreak data to build, validate, and evaluate models that aim to improve accuracy and timeliness of outbreak detection. We have constructed a microsimulation model that depicts reasonable outbreak scenarios in space and time, and explore the use of a hidden Markov model along with supervised learning algorithms to find unique space-time outbreak signatures useful for outbreak classification.

Author Biography

Kathryn Morrison, Epidemiology & Biostatistics, McGill University, Montreal, Quebec, CANADA

Kathryn Morrison is a PhD student in the Epidemiology department at McGill University in Montreal. Her background is in Geographic Information Science and her research interests are in infectious disease surveillance and space-time detection methods.

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Published

2013-03-23

How to Cite

Morrison, K., Charland, K., Okhmatovskaia, A., & Buckeridge, D. (2013). A Framework for Detecting and Classifying Outbreaks of Gastrointestinal Disease. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4417

Issue

Section

Poster Presentations