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
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
Human Rights Data Analysis Group: COVID-19 Research And Resources
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 Disaster Response (Esri)
Coronavirus tracked: the latest figures as the pandemic spreads (Financial Times)
Models
A paper by Candido et al. using a mobility-based transmission model to estimate the effect of public health interventions in Brazil.
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.
Special Issues on COVID-19
- Statistical Journal of the IAOS
- Radical Statistics
- Transforming Government: People, Process and Policy
- Harvard Data Science Review
- Applied Demography
- UN ESCAP Stats Brief
Italy
Covid19ita - 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.
Statgroup-19 Blogspot - initiated by StatGroup19, a scientific research group focused on studying and analyzing the worldwide spread of COVID-19.
Spain
Spanish Mathematical Committee Resources on COVID-19
