A set of "real-time" covid19 county-level dashboards w/ national and state choropleths for monitoring localized infection resurgences as distancing, testing and tracing measures evolve.
In this repository we aim to predict the peak of coronavirus cases in Indonesia, and when this pandemic will end. The data is retrieved from https://www.kawalcovid19.id/
An infectious disease modeling study on quantifying the magnitude of infectiousness from asymptomatic cases in Wuhan, China during outbreak of COVID-19.
Supplemental appendix containing detailed mathematical description, methodology, and R code for modeling disease transmission, healthcare resource utilization, and mortality during the COVID-19 pandemic in the US using observed data from The COVID Tracking Project.
A prediction of the number of COVID-19 infections during a fully-open (no preventative measures) semester for the University of Virginia using the SEIR model.
Applying PCR, Random Forest, Gradient Boosting and XGBoost on the same dataset, to predict the force of infection of the Japanese Encephalitis in various locations.
The Outbreak Explorer is a web application that facilitates "What if?" inquiry of the COVID-19 outbreak within Leon County, Florida. The app can be extended to include other bounded territories and other infectious diseases. Outbreak Explorer builds on the COVID-19 Scenarios project with a focus on agent-based models.