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This technology is a software that models and predicts epidemic case counts with a complete easy-to-use graphical user interface (GUI), and can be used to monitor COVID-19.
About
EpiGro: Epidemic Predictive Model Tech ID: UA16-052 Invention: This open source 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/. Background: 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. Links: COVID-19 modeling efforts: https://www.cdc.gov/coronavirus/2019-ncov/science/forecasting/forecasting-us.html? COVID-19 Forecast hub: https://covid19forecasthub.org/
Key Benefits
- Quickly forecasts epidemic outbreaks - Estimates future number of disease cases - User-controlled inputs with easy-to-use GUI
Applications
- Public health - Emergency response - Healthcare providers - Epidemiology - Research - Business (market response, risk management, inventory management, business continuity)