COVID-19 | Coronavirus

Pandemic Progression by Landkreis

For this graph, some assumptions were made:

  • interpolations were made where data differed from day to day as per definition of infected. 
  • definitions of city vs. landkreis splits were made consistent over time.
  • cleaning of errors was made.

Sources can be found by clicking through the admin zones on the map above. Each data point was retrieved at about the same time 0:00 o'clock of the given date.

Pandemic Progression by Landkreis - Total Summary
Mobility Effects

Each map shows a different aspect of society and the effect of various COVID-19 measures on the population. 1) Retail and Recreation which looks at the change in people going to places like restaurants, shopping centers, museums, libraries and theaters; 2) Grocery and Pharmacy - the change in mobility trends for places like supermarkets, food shops, markets and pharmacies (here people may have gone with the whole family, and now only with one person); 3) Parks (the number of people going to public beaches, national parks, gardens, dog parks and plazas; 4) Transit stations (the number of people going to subway, bus and train stations; 5) Workplaces (the number of people going to their usual place of work and 6) Residential (the number of people staying home). 

We are going to put more subnational trends on the Explorer in the coming days and keep you up to date with Google's amazing analysis. This combined with our subnational data gives a new perspective on the relative impacts across countries of COVID-19. 

Source

Crowdsourcing

These sources are checked around the clock and updated in a Google Sheet.

After 2 weeks of doing the statistics at Risklayer and CEDIM full-time, a platform via Google Sheets was set up with 3-way verification, to enable for crowd-sourcing of the Kreis und Gemeinde Daten which has had around 150 contributors from Germany so far. We have worked with BNN, Tagespiegel, MDR, Wikipedia and other news entities to integrate these numbers in their platforms as it eliminates the errors, and they have even helped join the crowd sourcing initiative.

The nightly reports of this data have been done from the 4th March until now and released via news agencies, on the Risklayer Explorer and first on the Twitter and Facebook feeds. The global subnational database is only updated every 3-4 days given the amount of focus on the German platform.

Event Characteristics
Day of first local case 2020-01-28
Affected Country Germany
Cumulative Infected 0
Currently Infected 0
Total Dead 0
Total Recovered 0
Global Pandemic True
Vaccine Available False
Last Update 2020-10-10
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