Disease Models for Event Prediction

Authors

  • Courtney D. Corley Pacific Northwest National Laboratory
  • Laura Pullum Oak Ridge National Laboratory

DOI:

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.

Author Biography

Courtney D. Corley, Pacific Northwest National Laboratory

Dr. Courtney Corley is a Health Security and Informatics Research Scientist at PNNL. His research centers on the development of transformational analytics, which provide analytical insight at interaction speed on unstructured and semi-structured data streams. His biosecurity and biosurveillance research works towards the development of computational explanatory and anticipatory models integrating social, behavioral, and cultural factors with biomedical. Dr. Corley's research and project management activities with PNNL focus on One Health and national security solutions.

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Published

2013-03-24

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

Issue

Section

Poster Presentations