🧩Data Around Corona 🦠

Tackling Corona and its downstream consequences requires data. Trusted data. As researchers and developers are building the next generation of solutions to help us maneuver this crisis and come out stronger as a global society, we have put together a starting point for resources that provide data and insight into the numbers. We are starting with a focus on direct access to data about case numbers and will be expanding this more broadly into related areas (e.g. services data). While many more sites are out there providing information, we are specifically focused on those who provide scalable building blocks to challenges tackled right now.

Our focus is on providing easy tools to access and combine data and APIs across various platforms and sources. To overcome this crisis, we need collaboration beyond the traditional silos in society.

We can help integrate reliable data. Help us get there. It is urgent to collaborate - to bring solutions at scale. You can add more data via bit.ly/covid-data, a Github project is coming up. Later this week, we are going to publish the APIs easily accessible for researchers and developers to use.

If you want to stay in the loop or want full access leave your email below or drop me a quick note with subject “Covid-19 Push” to christian@xapix.io

The overview below is structured as follows:

List of key data sources for case numbers

For top resources for Corona cases with detailed access information

Available Data

1. John Hopkins

Name: Daily Cases, Deaths, Recovered
Source: John Hopkins
Retrieved through: https://github.com/CSSEGISandData/COVID-19/blob/master/csse_covid_19_data/csse_covid_19_daily_reports/03-16-2020.csv
Available Data (insert data table)
Quality of Data:

Province/State Country/Region Last Update Confirmed Deaths Recovered Latitude Longitude
Hubei China 2020-03-16T14:38:45 67798 3099 55142 30.9756 112.2707

2. Europe

Name: Daily Cases, Deaths
Source: European Center for Disease Protection
Retrieved through: https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide
Available Data (insert data table)
Quality of Data:

DateRep Day Month Year Cases Deaths Countries and territories GeoId
3/17/20 17 3 2020 5 0 Afghanistan AF

3. DXY China

Name: diagnosed, cumulative, death, cured by region Source: NCOV DXY (Chinese online community for physicians) Retrieved through: https://ncov.dxy.cn/ncovh5/view/pneumonia Quality of Data:
Coverage: mainly China
Update mechanism: tbd
Way data is provided: Original source

4. Tencent

Name: cum diagnosed, confirmed diagnoses, cum cured, cum death, existing severe, overseas input Source: Tencent
Retrieved through: https://news.qq.com/zt2020/page/feiyan.htm#/
Quality of Data:
Coverage: mainly China and selected countries
Update mechanism: tbd
Way data is provided: tbd

5. WHO

Name: cum diagnosed, confirmed diagnoses, cum cured, cum death, existing severe, overseas input
Source: WHO
Retrieved through: https://services.arcgis.com/5T5nSi527N4F7luB/arcgis/rest/services/COVID_19_HistoricCasesByCountry(pt)View/FeatureServer/0/query?f=json&where=1%3D1&returnGeometry=false&spatialRel=esriSpatialRelIntersects&outFields=OBJECTID%2CNewCase%2CDateOfDataEntry&orderByFields=DateOfDataEntry%20asc&resultOffset=2000&resultRecordCount=2000&cacheHint=true

Quality of Data:
Coverage: Global
Update mechanism: tbd
Way data is provided: json
Notes: Visual showcase https://experience.arcgis.com/experience/685d0ace521648f8a5beeeee1b9125cd

“name”: “DateOfDataEntry”,

  "type": "esriFieldTypeDate",

  "alias": "DateOfDataEntry",

  "sqlType": "sqlTypeOther",

  "length": 8,

  "domain": null,

  "defaultValue": null

}

],

“features”: [

{

  "attributes": {

    "OBJECTID": 216,

    "NewCase": 85,

    "DateOfDataEntry": 1583971200000