Epidemiological Models of COVID-19 Spread in R
Tim Churches, a Senior Research Fellow at the UNSW Medicine South Western Sydney Clinical School at Liverpool Hospital, and a health data scientist at the Ingham Institute for Applied Medical Research, has produced a nice tutorial on acquiring data and creating epidemiological models to understand the spread of the disease.
RECON
For more information and resources check out the R Epidemics Consortium (RECON):
The R Epidemics Consortium (RECON) is an international not-for-profit, non-governmental organisation gathering experts in data science, modelling methodology, public health, and software development to create the next generation of analytics tools for informing the response to disease outbreaks, health emergencies and humanitarian crises, using the R software and other free, open-source resources.
