The dataset attempts to cover all measures of national significance intended to reduce the transmission of COVID-19, in all the worlds nations.
Each measure in the database has entries on:
This is work in progress.
As of April 6th we have about 1600 entries spanning 117 countries. Countries are prioritised on the basis of population and number of confirmed cases. There is likely to be a degree of bias in the dataset due to some countries having information that is easier to access than others.
We have a preprocessed version of the dataset together with
John's Hopkins case and death data
available as a
here. Refer to the detailed tag descriptions linked above for information
about the columns in this file, or see the dataset's
for a briefer description.
Raw data is available as a
here. There is some information available in the raw data not recoverable
from the sanitized file, but it will take substantially more effort to
get this data ready for analysis.
(Last updated April 6th. To get the most recent raw data, make a copy of the Notion database, and then click "Export".)
You can get an overview of the data, and sort it by country, by response measure, or by a calendar view, in the Notion database.
We are currently pursuing a machine learning project to model the effectiveness of various measures to reduce COVID-19 transmission, based on this dataset (and empirical observed reproduction rates).
The results will be used to improve our main epidemiological simulations.
If you are working on similar projects, we'd be keen to discuss opportunities for collaboration. Reach out using the form below. We also invite requests if you're using the dataset for another purpose, such as econometric modelling.
If you'd like to volunteer to extend the dataset, or have any questions about usage, please reach out using this form.