A Tool for Interactive Disease Outbreak Visualization, Detection, and Forecasting

Authors

  • Jarad Niemi Iowa State University, Ames, IA

DOI:

https://doi.org/10.5210/ojphi.v6i1.5017

Abstract

We develop an interactive tool for disease outbreak detection, visualization, and forecasting. The tool is based on the R statistical environment and the shiny package and therefore the code is written entirely in R, but deployment is in HTML. In addition, the choice of the R statistical environment provides access the plethora of R packages and scripts built for disease detection and forecasting. A demonstration tool is created using a 2010 measles outbreak in Zimbabwe. 

Author Biography

Jarad Niemi, Iowa State University, Ames, IA

Jarad Niemi is an assistant professor in the Department of Statistics at Iowa State University. His research includes Bayesian methods for disease detection and forecasting as well as optimal decision making.

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Published

2014-03-03

How to Cite

Niemi, J. (2014). A Tool for Interactive Disease Outbreak Visualization, Detection, and Forecasting. Online Journal of Public Health Informatics, 6(1). https://doi.org/10.5210/ojphi.v6i1.5017

Issue

Section

Poster Presentations