Disease Models for Event Prediction
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How to Cite

Corley, C. D., & Pullum, L. (2013). Disease Models for Event Prediction. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4589

Abstract

A rich field of infectious disease modeling has emerged and advanced our understanding of population- and individual-level disease transmission dynamics. One of the primary goals of this research was to characterize the viability of biosurveillance models to provide operationally relevant information to decision makers. We searched commercial and government databases and harvested Google search results for eligible models utilizing terms/phrases provided by public health analysts relating to biosurveillance, remote sensing, risk assessments, spatial epidemiology, and ecological niche-modeling. The vast majority of models studied were verified or validated.
https://doi.org/10.5210/ojphi.v5i1.4589
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