BayesEpiModels_webapp

We develop this web app to help local people assess both short- and long-term forecasts of COVID-19 across the United States at multiple levels. This has been done by implementing one time-series model (ARIMA), one compartmental models (basic SIR), and six classical growth models, which all yield satisfactory prediction results in the past and current pandemics at an early stage.