Our weekly forecasts are available from the sites listed below. Our model is called EpiCovDA. In the sites below, we are listed as the UA team.
Published
- Parameter Estimation from ICC curves, by J. Lega. Journal of Biological Dynamics 15, 195-212 (2021).
- Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States, by E.Y. Cramer et al. (295 authors), PNAS 119, e2113561119 (2022).
- The United States COVID-19 Forecast Hub dataset, by E.Y. Cramer, Y. Huang, Y. Wang, Y. et al. (400+ authors), Scientific Data 9, 462 (2022).
- Epidemics from the Eye of the Pathogen, by Faryad D. Sahneh, William Fries, Joseph C. Watkins, Joceline Lega, SIAM J. Appl. Math. 82, 2036-2056 (2022).
Preprints (not yet peer-reviewed)
- Ensemble Forecasts of Coronavirus Disease 2019 (COVID-19) in the U.S., by E.L. Ray et al. (2020).
- EpiCovDA: a mechanistic COVID-19 forecasting model with data assimilation, by Hannah R. Biegel, Joceline Lega (2021).