Forecasts of influenza hospitalizations for the US by the Los Alamos T-6 and CCS-3 and NAU team
We are using a compartmental model to perform Bayesian analysis on hospitalization data available for US states and other jurisdictions. The model consists of difference and/or ordinary differential equations (ODEs) describing the dynamics of seasonal flu. Our methodology, applied to COVID-19 disease transmission dynamics, was published recently (Lin et al., 2021).
Lin YT, Neumann J, Miller EF, Posner RG, Mallela A, Safta C, Ray J, Thakur G, Chinthavali S, Hlavacek WS (2021) Daily forecasting of regional epidemics of Coronavirus Disease with Bayesian uncertainty quantification, United States. Emerg Inf Dis 27: 767–778. https://doi.org/10.3201/eid2703.203364