Modeling COVID-19 positivity rates and hospitalizations in Texas

The aim of this study was to jointly model COVID-19 test positivity rates and hospitalizations in Texas using Bayesian joinpoint regression. data for both were obtained from the Department State Health Services between April 5 October 19, 2020. stage 1 identifies four significant shifts rates, three which occur roughly 9 days after documented policy or behavioral changes statewide. Estimated first then used predict hospitalization estimate lag time hospitalization. resulting is 9.056 (± 3.808). Both models are valuable makers public health officials as they impact patterns on disease prevalence hospitalizations.