COVID-19 Scatterplots
The diagram shows the position of the counties or federal states in relation to the statewide or national averages of the 7-day incidence per 100,000 inhabitants and the percentage change in weekly new cases over the last week.
The horizontal axis shows the 7-day incidence per 100,000 inhabitants. This value can be used to estimate how many cases are positive in a given period and could therefore transmit the infection. The vertical axis shows the percentage change of weekly new cases over the last week. The intersection of the quadrants shows the average values at the statewide and national level, respectively.
The red and green boxes show the regions where the 7-day incidence per 100,000 inhabitants and the percentage change in weekly new cases are both above or both below the national average, respectively. The yellow box shows the regions whose 7-day incidences are higher than the national average, but whose percentage increase in weekly new cases over the last week is below the national average. In the orange box are the regions where the 7-day incidence values are lower than the national average, but the percentage change in weekly new cases over the last week is higher than the national average.
The colours in the graph do not in any way correspond to a classification into risk areas or the like.
(The original idea of the plot is taken from GIMBE , the axes have been slightly modified however.)