Imperial College have published their COVID-19 modelling code on GitHub. Their modelling has apparently been used in forming UK policy.
Simulations of disease spread
The Washington Post has some simple visual simulations that show how strategies such as quarantining and social distancing can impact the spread of an infectious disease.
COVID-19 dashboard
Effective COVID-19 dashboard showing UK cases—from Public Health England.
COVID-19 epidemiology with R
Interesting, and timely, article on using R to analyse COVID-19 incidence data collated by John Hopkins University.
It makes use of two epidemiology packages.
earlyRfor estimation of infectiousness, as measured by the reproduction number (R), in the early stages of an outbreak.EpiEstimfor estimating the time varying instantaneous reproduction number during epidemics
These packages, and many more, are part of the R Epidemics Consortium (RECON). They
[…] gather 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.
List of best visualisations of 2018 lists
No, the title isn’t a typo. There’s a list of the "best of 2018 visualisation lists". List of lists is now a thing…apparently.
I did think about picking the best of the best of 2018 visualisation lists—but I couldn’t do it to you.
But, it’s a great resource so worth reading.