One option would be the GEOnet Names Server published by the US National Geospatial-Intelligence Agency. It is a gazetteer of global place names that includes a variety of spellings in different languages, including the common English variants, plus longitude and latitude coordinates. It includes administrative divisions, cities and towns, concentrated ...
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 ...
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)
Index of Countries (community wiki)
Johns Hopkins University
Germany and another Germany
NY Times county level
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 ...
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 (...
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.
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)
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