Estimating Time-Inhomogeneous Transition Probabilities from District Level Daily COVID-19 Transmission Data in Sierra Leone
Evidence is provided that time-inhomogeneous, covariate informed Markov models offer a materially better description of district-level COVID-19 transmission in Sierra Leone than classical time homogeneous compartmental models, with implications for sub-national outbreak monitoring in resource constrained settings.