Bayesian inference of COVID-19 spreading rates in South Africa.
The Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has highlighted the need for performing accurate inference with limited data.Fundamental to the design of rapid state responses is the ability to perform Belt Clamp epidemiological model parameter inference for localised trajectory predictions.In this work, we perform Bayesia