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

Jarad Niemi | Zendy

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

Author(s) -

Jarad Niemi

Publication year - 2014

Publication title -

online journal of public health informatics

Language(s) - English

Resource type - Journals

ISSN - 1947-2579

DOI - 10.5210/ojphi.v6i1.5017

Subject(s) - computer science , visualization , outbreak , scripting language , interactive visualization , software deployment , r package , data science , data mining , software engineering , medicine , virology , programming language

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.

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