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
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 ...
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
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 ...
healthsites.io is an open data effort to map healthcare entities (hospitals, clinics, pharmacies, private practices, etc.) worldwide. The data is drawn from OpenStreetMap and at a minimum provides the name and geographic coordinates of each healthcare entity. There is a OSM data model for health sites, details provided here. The data is released under the ...
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.
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 ...
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.
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
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 ...
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 ...
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)
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)
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 (...
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:
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.
It's going to be hard to find "big data" on this one, but one dataset would be transcripts from the "Gloria Tapes". It's quite old, mid 1960s, but at least it's data in an otherwise extremely private sector (and rightfully so).
Here's the record for a transcription: https://www.worldcat.org/title/transcript-of-three-approaches-to-psychotherapy-a-series-of-...
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 ...
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)
OurWorldInDate site (that has excellent coverage of data around the pandemic) has asked the question two weeks ago
and now provide an answer:
In the United States, the National Allergy Bureau is the primary source of pollen measurements. Their network is comprised of approximately 80 monitoring stations which collect 24-hour samples of ambient pollen concentrations using either Burkard or Rotorod samplers. Simplified categories are presented on their website (e.g., "Weeds- Low ...