Case ID:

This software models and predicts epidemic case counts. It has an easy-to-use graphical user interface (GUI), and its most recent version, EpiCovDA, is currently being used to contribute to the CDC's COVID-19 modeling efforts and the COVID-19 Forecast hub.

The open source software download is available at https://jocelinelega.github.io/EpiGro/.

This software uses a simple mathematical model that allows users to model and forecast outbreaks, including those related to vector-borne diseases. It was developed as a predictive tool for the recent outbreak of chikungunya in Pan American Health Organization countries. While forecasts are mesoscopic (for an individual country), the model is robust enough to work with small or large data sets.


  • Public health
  • Emergency response
  • Healthcare providers
  • Epidemiology
  • Research
  • Business (market response, risk management, inventory management, business continuity)


  • Quickly forecasts epidemic outbreaks
  • Estimates future number of disease cases
  • User-controlled inputs with easy-to-use GUI 
Patent Information:
Contact For More Information:
Lewis Humphreys
Licensing Manager, Eller College of Mngmt & OTT
The University of Arizona
Lead Inventor(s):
Joceline Lega
Heidi Brown