I've also found a fairly detailed dataset on github
https://github.com/beoutbreakprepared/nCoV2019/tree/master/latest_data
This is quite exciting as it holds the following data
- Demography: age,sex
- Geographic: city, province, country, wuhan(0)_not_wuhan(1), latitude, longitude, geo_resolution, lives_in_Wuhan, location, country_new
- Dates: date_onset_symptoms, date_admission_hospital, date_confirmation, date_death_or_discharge, travel_history_dates
- Symptoms: symptoms
- Other disease: chronic_disease_binary, chronic_disease
- Exposure: travel_history_location, reported_market_exposure, travel_history_binary
- Outcome: outcome,
- Other: additional_information, source, sequence_available, notes_for_discussion, admin3, admin2, admin1, admin_id, data_moderator_initials
The downside, is that the data is of mixed quality, but it is critiqued by medical and data specialists. Some fields are completely left blank, but as a research source it could be a great place to start.
(This answer was moved from a more general question)
https://covid-19-apis.postman.com/ not sure if it's enough for a proper answer in this site, though. You need to filter this, because there are not only clinical data but also "related" API, for instance the correct API endpoints to get the Twitter feed from WHO.
– Pac0 Jun 19 '20 at 10:26