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This page contains some current resources for statisticians interested in the COVID-19 pandemic. We give links to 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

New international statistical snapshot on impact of Covid-19 released

Throughout the current crisis, the international statistics community has continued to work together, in partnership with national statistical offices and systems around the world to ensure that the best quality data and statistics are available to support decision making during and after the crisis. How Covid-19 is changing the world: a statistical perspective, a report compiled jointly by 36 international organizations, and coordinated by the Committee for the Coordination of Statistical Activities (CCSA) - gives a small flavor of that cooperation.

It provides a snapshot of some of the latest information available on how COVID-19 is affecting different aspects of public and private life, from economic and environmental fluctuations to changes that affect individuals in terms of income, education, employment and violence and changes affecting public services such as civil aviation and postal services. It also puts a spotlight on the affects for some sub-population groups like women and children as well as geographical regions. The report is available here.


World Health Organization: Coronavirus disease (COVID-19) Pandemic

Oxford University: COVID-19 Evidence Service

United Nations Statistics Office: Covid-19 response

International Science Council: COVID-19 Global Science Portal

Data

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

Johns Hopkins University: Coronavirus resource centre - outbreak map and data.

Policy Analysis

Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand

UNSD Committee for the Coordination of Statistical Activities: How Covid-19 is changing the world: a statistical perspective

Visualizations

Coronavirus tracked: the latest figures as the pandemic spreads (Financial Times)

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.

Articles dedicated to Covid-19 in the Statistical Journal of the IAOS (SJIAOS)

Read more

Covid19ita - Italy

Covid19ita is developed by the Unit of Biostatistics, Epidemiology, and Public Health of the Department of Cardiac, Thoracic and Vascular Sciences and Public Health at Università degli Studi di Padova , in partnership with the Department of Clinical and Biological Sciences at Università degli Studi di Torino , and the Department of Translational Medicine at Università del Piemonte Orientale.

Spain

Spanish Mathematical Committee Resources on Covid-19

 

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