I would like to share some resources with you that the International Statistical Institute made available to its members, and which may be of interest to you.

The details below are also available on the ISI website and I’ll shortly add them to our own:

“This page contains some current resources for statisticians interested in the COVID-19 pandemic. We give links to some data sources, talks and preprints. The ISI Committee on the Public Voice of Statistics has prepared this page, but neither the Committee nor the ISI have evaluated or are endorsing the analyses. 

General Information:

World Health Organization Coronavirus disease 2019 pages

Oxford University COVID-19 Evidence Service 

Data:

World Health Organization daily updates. These are the official counts from each country reporting, starting at January 21, 2020.

Johns Hopkins University outbreak map and data. 

Models:

Tom Britton explains the susceptible-infected-removed (SIR) epidemic model and how social distancing can affect the epidemic curve (36 minutes). 

A talk by Xihong Lin, Harvard Biostat, presenting lessons learned from Wuhan about limiting the spread of COVID-19. The main model is a latent SIR model, taking into account that we do not observe the actual cases but only the identified ones (56 minutes; talk starts at 1:10). The preprint is also available. 

A preprint by Agosto and Giudici on a Poisson autoregressive model on COVID-19 contagion dynamics, applied to data from China, South Korea and Italy. 

A preprint by Riou et al. an age-adjusted fatality of COVID-19 in China Jan-Feb 2020, taking into account under-reporting. Data and Stan code are available.”

I hope you'll find these resources helpful.

Stay safe and look after yourself.

Kind regards

Marie-Louise Rankin
Executive Officer, SSA