Here we go: Our first intermediate result - The Regional Donor Map.
Prior to developing the anticipated fever map from aggregated heart rate information, we need to get a good understanding of the geographical distribution of our donors. Regional biases, for instance, need to be identified and considered in further analyses. Moreover, we must ensure that enough donors are registered in each district so that statistical evaluations are valid and the anonymization gained through the regional consolidation is guaranteed.
As of (16.06.2021), 538.174 donors have successfully registered their fitness wearables with our Corona Donation App. That is an average of 1.304 donors per district. Nationwide, we have a total participation of around 6 donors for every 1000 people, which is significantly more than we initially anticipated.
As mentioned above, we need to first check whether donors are geographically representative in our sample. Additionally, the method of aggregating from ZIP level to district level must be verified, since ZIP codes, which are used by donors to identify their location, in Germany do not necessarily merge perfectly into federal districts.
Using this approach we generated the following map showing the regional distribution of donors in Germany:
From the figure above, we can assume that we have a solid data basis, where each district contains a sufficient number of donors.
The number of donors per district varies quite a bit from the number of inhabitants per district. In some districts, only a few 100 people decide to donate, while in other districts, more than 20,000 donors have registered. It is expected that a higher population produces more registered donors. The figure below illustrates the frequency of participation per district. On average, a district has around 1.304 donors.
Since federal districts are populated to varying degrees, we anticipate a donor count that varies with inhabitant count. The relation between number of donors and inhabitants per county can be represented in a scatter plot like the one shown below. As expected, we observe a nearly linear relationship, indicating that participation does indeed increase with in proportion the the population size of a district.
In total, 538.174 donors are currently participating with a nationwide population of around 83.02 million people. This means that about 0,56% of German people are donating their data, or about 6 donors per every 1,000 people.
Taking this into account, it still needs to be investigated whether differences and geographical heterogeneities exist in the per capita donor participation. In other words, how does this per capita participation vary across counties? The following map answers this question.