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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 ...


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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. https://github.com/caiyundong/covid19-sea The approach of crawling can be used for other countries, and the data can be generated for API usage or file (json ...


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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)


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Index of Countries (community wiki) Global Johns Hopkins University WHO ECDC OurWorldInData Europe Belgium Germany and another Germany Switzerland Spain Italy United Kingdom North America United States NY Times county level CDC Asia General China Oceana Australia


2

Chinese data: https://github.com/Avens666/COVID-19-2019-nCoV-Infection-Data-cleaning- It is incomplete (from February to March 19th) and the explanations are in Chinese.


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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 ...


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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 (...


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Spain data can be found here: https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm


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German data can be found here: https://www.rki.de/DE/Content/InfAZ/N/Neuartiges_Coronavirus/Fallzahlen.html


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The CDC has US-wide cases, per date https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/testing-in-us.html 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/...


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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.


2

Several places for data of Switzerland Covid-19 cases quasi-official: https://github.com/openZH/covid_19 unofficial: https://github.com/daenuprobst/covid19-cases-switzerland 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)


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The Italian data from the Civil Protection Agency is updated daily at https://github.com/pcm-dpc/COVID-19 There are a few data sets (CSV) in there. Aggregated data is published at http://opendatadpc.maps.arcgis.com/apps/opsdashboard/index.html#/b0c68bce2cce478eaac82fe38d4138b1


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