Resources

Last updated: 31 March 2020

Topic-specific posts

These posts are different than the usual. They are intended to be updated periodically to reflect my best current understanding and the most useful sources.

External resources

General resouces

Our World in Data has been consistently excellent: careful and precise, with great visualisations & interactive tools. This is the resource I rely on the most.

The official WHO site.

Johns Hopkins / CSSE global dashboard.

The Worldometer dashboard and resouces are easy to use.

Projections of capacity versus demand for hospitals, by country.

US-specific resources

The New York Times Daily Tracker by State (scroll down on the page). Shows the now-familiar chart of confirmed cases (on a log-scale) by days since at least 10 deaths, where a straight slope indicates equivalent doubling time.

Also from the New York Times, maps and other resources for the US.

Based on the NYT dataset, an interactive map of cases and deaths per capita (actually per 10K residents).

US tracking by state — a crowdsourced project, updated frequently, with a serious effort at accuracy and timeliness.

Articles and posts

Two outstanding articles in the Washington Post providing visualisations and explaining some of the underlying concepts behind the maths of epidemics, what herd immunity is, and what the impacts of quarantines and social distancing could be. (Here and here.)

FT (paywall): Containing coronavirus: lessons from Asia.

The highly influential Medium post by Tomas Pueyo. And his sequel.

Good NYT FAQ on the maths by the outstanding Adam Kucharski. (His Twitter feed is a curated set of what’s new and important in COVID-19 epidemiology and modelling.)

Scientific papers and modelling

A set of (highly technical) papers and resources from the Centre for Mathematical Modelling of Infectious Diseases (CMMID).

Why the serial interval matters, not just R0 and CFR.

The interactive Epidemic Calculator.

Experts to follow

Adam Kucharski, influential epidemiologist / mathematical modeler.
Marc Lipsitch, Harvard epidemiologist.

Datasets

My prefered data set is from Our World in Data.

Many researchers use (and I used to use) the Johns Hopkins / CSSE GitHub data archive.

The New York Times has a helpful GitHub repository with state-level data for the US.

What are your favourite resources? Please let me know.