Auto-generated subnational COVID-19 data from many sources using the covid_19_grab_au project, which is no longer only getting Australian data but from many countries around the world. As far as I know, it is the largest continually updated data source of its kind. The goal is to be able to convert this data into a common universal format, so as to be able to use it for comparative analysis and similar purposes.
Wherever possible, the data has been normalized to ISO 3166-2 with the "admin_1" schema, or ISO 3166-1 alpha-2 with the "admin_0" schema (mostly countries) to allow use with other datasets such as Natural Earth Data.
This data is currently used for covid-19-au, a project started by Dr. Chunyang Chen and a group of volunteer students from Monash and other universities. The data can be viewed live at https://covid-19-au.com/world.
The data is obtained from original sources where possible. Some of the data also comes from aggregated sources like John Hopkins University, Microsoft Bing or the European Commission Joint Research Centre. The largest data sources are mainly aggregated and are in the world and eu case data directories.
GeoJSON data is also provided to allow for displaying this data. For information on the licensing of each GeoJSON file, see also https://github.com/mcyph/covid_19_au_grab/tree/master/geojson_data/data.
Data is preliminary and has not been checked so will contain errors! I have started to validate sources against place names in the GeoJSON files, but it's a manual process which is very time-consuming. Should not be used for anything important, and is strictly for non-commercial or research purposes only. The boundaries and names are aligned to other datasets/standards such as ISO 3166 mainly for consistency and the mappings do not imply I endorse or accept them.
If you use this data, please acknowledge the sources below, and cite that it was automatically aggregated using the covid_19_au_grab project by Dave Morrissey.
| Datatype ID | Description |
|---|---|
| new | Number of new cases for the day. Negative numbers may indicate figures have been revised downwards. |
| new_male | New male cases for the day. |
| new_female | New female cases for the day. |
| total | Total (cumulative) number of cases to this date, whether probable or confirmed. |
| total_male | Total (cumulative) male cases. |
| total_female | Total (cumulative) female cases. |
| confirmed | Confirmed cases by test. |
| probable | Cases considered likely to be COVID-19. |
| confirmed_new | New cases confirmed by tests for the day. |
| probable_new | New cases considered likely to be COVID-19 for the day. |
| status_deaths | Number of people who have passed away to date. |
| status_hospitalized | Number of people currently in hospital with COVID-19. |
| status_hospitalized_runningtotal | Number of people that have been in hospital with COVID-19 since the start of reporting. |
| status_icu | Number of people currently in intensive care. |
| status_icu_ventilators | Number of people currently in intensive care with mechanical ventilators. |
| status_icu_runningtotal | The total number of people who have ever been in ICU. |
| status_icu_ventilators_runningtotal | The total number of people who have ever been in ICU with mechanical ventilators. |
| status_recovered | The total number of people who have recovered from COVID-19. |
| status_active | The current number of people who are considered to still have COVID-19. Definitions for this can vary widely around the world. |
| status_unknown | The total number of people who have contracted COVID-19 that are of unknown status. They may have recovered, still have the virus, or have passed away due to it. |
| status_deaths_new | The new number of people who have passed away for the day. |
| status_hospitalized_new | The new number people people who are currently hospitalized with COVID-19. |
| status_hospitalized_runningtotal_new | The new number people people who have ever been hospitalized with COVID-19. |
| status_icu_new | The number of people who are currently in ICU relative to the previous day. |
| status_icu_ventilators_new | The number of people who are currently in ICU with mechanical ventilators relative to the previous day. |
| status_icu_runningtotal_new | The number of people who have ever been in ICU relative to the previous day. |
| status_icu_ventilators_runningtotal_new | The number of people who have ever been in ICU with mechanical ventilators relative to the previous day. |
| status_recovered_new | The total number of people who have recovered from COVID-19 in the previous day. |
| status_active_new | The current number of people who are considered to still have COVID-19 relative to the previous day. |
| status_unknown_new | The total number of people who have contracted COVID-19 that are of unknown status relative to the previous day. |
| source_overseas | Overseas, counted separately |
| source_cruise_ship | Transmission from cruise ships. Included in "source_overseas". |
| source_interstate | Local-transmission from interstate, counted separately |
| source_confirmed | Local-transmission from confirmed cases, counted separately |
| source_community | Local-unknown community transmission, counted separately |
| source_under_investigation | COVID-19 cases which are currently being contact-traced. |
| source_domestic | For in-country which may or may not be community transmission (New Zealand data) |
| tests_total | The total number of tests to date. |
| tests_negative | The total number of tests to date which have returned negative results. |
| tests_positive | The total number of tests to date which have returned positive results. |
| tests_new | The total number of new tests in the last day. |
| age_care_total | The total number of people who are in aged care who currently have contracted COVID-19 |
| age_care_male | The total number of males who are in aged care who currently have contracted COVID-19 |
| age_care_female | The total number of females who are in aged care who currently have contracted COVID-19 |
| facebook_covid_symptoms | The percentile value from baseline of people who have show COVID-19 symptoms in Facebook posts. |
| facebook_flu_symptoms | The percentile value from baseline of people who have show influenza symptoms in Facebook posts. |
| google_mobility_retail_recreation | The percentile value from baseline of people visiting retail (such as shopping centers) and recreation (such as libraries). |
| google_mobility_supermarket_pharmacy | The percentile value from baseline of people visiting grocery stores and pharmacies. |
| google_mobility_parks | The percentile value from baseline of people visiting parks, beaches, national parks etc. |
| google_mobility_public_transport | The percentile value from baseline of people using public transport hubs like train, bus or tram. |
| google_mobility_workplaces | The percentile value from baseline of people visiting places of work. |
| google_mobility_residential | The percentile value from baseline of people visiting places of residence. |
Kinds of geographic schemas (mapping to the GeoJSON files):
| Schema ID | Description |
|---|---|
| admin_0 | Values for a country (equivalent to lowercased ISO 3166-1 alpha-2 codes) |
| admin_1 | Values for the whole state/territory/province (equivalent to lowercased ISO-3166-2 codes) |
| postcode | Australian Postcodes (NSW and Victoria) |
| lga | Local Government Area (Australia-wide) |
| hhs | Queensland, Australia |
| lhd | NSW, Australia Local Health Districts |
| ths | Tasmania, Australia Health Services |
| sa3 | SA3 for ACT, Australia |
| bd_district | Bangladesh districts |
| br_city | Brazilian Cities |
| co_municipality | Colombian Municipalities |
| de_ags | German AGS |
| fr_overseas_collectivity | French Overseas Collectivities |
| in_district | Indian Districts |
| it_province | Italian Provinces |
| jp_city | Japanese Cities |
| my_district | Malaysian Districts |
| nz_dhb | New Zealand District Health Board |
| th_district | Thailand Districts |
| uk_area | United Kingdom Area (a custom level above admin_1 for Northern Ireland, Wales, Scotland and Britain) |
| us_county | United States Counties |
| ps_province | Palestinian Provinces |
| cr_canton | Costa Rican Cantons |
| cu_municipality | Cuban Municipalities |
| ca_health_region | Canadian Health Regions |
| lk_district | Sri Lankan Districts |
| np_district | Nepal Districts |
| pt_municipality | Portuguese Municipalities |
| cz_okres | Czech Republic Okres |
| fi_health_district | Finnish Health Districts |
| tr_nuts1 | Turkey on NUTS 1 statistics level |
| de_kreis | Germany Kreis |
| lt_municipality | Lithuanian Municipalities |
| il_municipality | Israel Municipalities |
| hk_district | Hong Kong Districts |
| es_province | Spain Provinces |
Data sources come from the following URLs: