Figure 1
From: One year of modeling and forecasting COVID-19 transmission to support policymakers in Connecticut
Observed and estimated data used in model calibration and approximation of time-varying model parameters. (A) daily new cases reported in Connecticut by the date of specimen collection among residents of non-congregate and congregate settings; (B) COVID-19 hospitalization census; (C) cumulative COVID-19 hospitalizations. In plots (B) and (C), the total number (black line) represents observed data, while non-congregate (blue) and congregate (red) lines represent estimates. (D) cumulative COVID-19 deaths in Connecticut; (E) hospital case fatality ratio (HFR) among hospitalized residents of non-congregate settings (estimated); (F) average length of hospital stay among COVID-19 patients by month; (G) normalized close interpersonal contact metric relative to the pre-epidemic period; (H) proportion of cases 60+ years old among daily COVID-19 cases (only data on the right of the dashed line is used in model parametrization); (I) daily PCR testing volume.
