The JHU dashboard you linked has their data available as CSV on Github:
in particular these CSV files, which contain all historical timeseries
Here is a coincidental Python3 scraper ...
We started a worldwide crowdsourcing data collection on policy measures, including lockdowns at the admin1 level (region) and the country level. Currently we coded data for ~13 countries and are continously expanding. You can access the data here:
Collaborative Google Sheets on Policy Measures Against Covid19.
These data are free to use for anybody. We rely ...
Index of Countries (community wiki)
Johns Hopkins University
Germany and another Germany
United Kingdom Overall
Country, Region and Local Authority
NY Times county level
The Italian data from the Civil Protection Agency is updated daily at
There are a few data sets (CSV) in there. Aggregated data is published at http://opendatadpc.maps.arcgis.com/apps/opsdashboard/index.html#/b0c68bce2cce478eaac82fe38d4138b1
At this point Wikipedia will have most of the information but not yet machine readable. For a broad data-request on global lockdowns of varying degree, and for an ongoing event, I can't image a machine readable dataset yet.
One example would be using school closures, for which there is a ...
What about this database? It includes government measures...
ACAPS COVID-19: Government Measures Dataset
The COVID-19 Government Measures Dataset puts together all the measures implemented by governments worldwide in response to the Coronavirus pandemic. Data collection includes secondary data review. The researched information available falls into five ...
The Anthem XPRIZE Pandemic Alliance has pledged the availability of such de-identified data including data on previous outbreaks (i.e. swine-flu, influenza, SARS etc.) It is unclear, however, how soon the datasets will be released to researchers as it was just announced.
The CDC has US-wide cases, per date
It's an HTML table, and I haven't found a more machine readable source. But with Python & Pandas you can easily read the data into a dataframe
import pandas as pd
df = pd.read_html('https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/...
I successfully parse WHO situation reports and convert them to CSV, from march 1. Older reports are too unstructured.
See here: https://github.com/gibello/whocovid19 (reports in data/csv).
On the site, also links to ECDC and Johns Hopkins data.
German Covid-19 data from RKI (Robert Koch-Institut) on the state (Bundesländer) and county (Kreise) level can be found here.
Data on the county level include patient information such as age group and gender. County level data can be merged with county level information from the INKAR database via county id (Kreiskennziffer).
Update (2020-03-30): There is ...
I've also found a fairly detailed dataset on github
This is quite exciting as it holds the following data
Geographic: city, province, country, wuhan(0)_not_wuhan(1), latitude, longitude, geo_resolution, lives_in_Wuhan, location, country_new
Here is an ongoing effort from Switzerland to get this data, which is published by the Federal Government as a "machine readable" PDF. It's not daily but weekly.
Would like to add few more resources
There is a large body of research and data around COVID-19. Help the global community better understand the disease by getting involved on Kaggle.
Datasets in Kaggle related to COVID
COVID-19 Open Research Dataset Challenge (CORD-19)
UNCOVER COVID-19 Challenge
WHO Coronavirus Disease (COVID-19)
South Korea has opened patient data. From what I glean from these tweets:
South Korea released medical history for all #COVID19 patients based on their insurance claims for the past five year:
ECDC (European centre for disease prevention & control) world data in CSV format, frequently updated: https://opendata.ecdc.europa.eu/covid19/casedistribution/csv
(From https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide - there's also xml and json)
Actions taken in Switzerland are available with machine-readable CSV
Repo 1: https://github.com/zdavatz/covid19_ch#data-on-the-measures-taken-against-covid2019
Repo 2: https://github.com/baffelli/covid-2019-measures
Here we collect a timeline of all containment and public health measure taken in the course of the covid2019 pandemics.
Columns in the CSV ...
There are now some fairly complete and up to date such datasets.
An Oxford University group - Future of Humanity Institute - has gathered these data:
Almost simultaneously, a different department, the Blavatnik School of Government from the same ...
My take on UK data: https://github.com/sainnr/covid19-uk-data-capture. The goal is to represent daily updates published by UK official bodies in the machine-readable format.
Currently, it consists mainly of two parts:
number of cases within the UK (fatal/recovered/positive/total) from 30 Jan till today
number of confirmed positive cases within regions (...
Several places for data of Switzerland Covid-19 cases
Comparison between Swiss sources, including links to sources : https://observablehq.com/@republik/sars-cov-2-covid-19-data
more to come (hopefully data, not cases)
I don't think it is possible (from a read of faq, about) there seems to be no way to download data.
Have a look at alternative data sources in another question, but of these I would use the Johns Hopkins github data, which is a daily updated csv.
I have made a repository on github to crawl the data from wikipedia about southeast asia countries (Singapore, Malaysia, Vietnam, Thailand etc), as data for all other countries are widely collected.
The approach of crawling can be used for other countries, and the data can be generated for API usage or file (json ...
OurWorldInDate site (that has excellent coverage of data around the pandemic) has asked the question two weeks ago
and now provide an answer:
An excellent source of Covid related data can be found at covidtracking.com. I wouldn't be surprised if you could find what you are looking for there. You can also download complete datasets from covidtracking.com/data/api.
They have been gathering data since the beginning in the US. Every day, 7 days a week, dozens of volunteers scour dept. of health ...
The Oxford COVID-19 Government Response Tracker appears to have the data you want. The dataset covers the whole world and is day-by-day, so you'll need to do some processing to extract just the US state data and merge or filter it to produce week-by-week or month-by-month data.
I'm not sure anybody in the world has this information.
I live in Italy, not far from the largest coronavirus spreading in Europe. Patient 1 (the guy who started the epidemic in all Italy) used to live about one hour from my town. No one has still a clue on how he got it, and how it all started. I'm quite sure there's no such data at all. I'm sorry about ...