@article{Niemi_2014, title={A Tool for Interactive Disease Outbreak Visualization, Detection, and Forecasting}, volume={6}, url={https://ojphi.org/ojs/index.php/ojphi/article/view/5017}, DOI={10.5210/ojphi.v6i1.5017}, abstractNote={<p class="p1">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. </p>}, number={1}, journal={Online Journal of Public Health Informatics}, author={Niemi, Jarad}, year={2014}, month={Mar.} }