C19

The data visualised here are taken from c19.se. Kudos to the IT guys behind this initiative for merging different sources into one easily navigated site. What we do here, is basically some filtering to focus on the regional differences. We apply a one week moving average filter, normalise all figures with he population to get the unit per 100k and compare each parameter between the regions. First, a summary in table format of the considered regions, explained as follows:

  • Cases and Deaths denote the total number up to today, normalised with the population.
  • Cases today and Deaths today denote the latest reported number.
  • ICU and On hospital denote the latest daily report. Many numbers are zero, probably by privacy reasons.
  • The figure in bold face denote the worst region.
  • The arrow indicates the trend of today compared to two weeks ago, with arrow up meaning plus 100% and arrow down meaning minus 100% (that is, zero).

 

The figures below show the number of cumulative and daily, respectively, cases in selected Swedish regions.  

The number of cases is used by our neighbouring countries as a decision variable for travels. The next plot shows the decision variable, which is the two week running average of reported cases, compared to the threshold of 20/7 cases per day (20 per week).

The next figures show cumulative and daily, respectively, mortality.

 

Further, the figures below illustrate the pressure on the health care system. Note that not all regions present this statistics, probably from privacy issues when the amount is quite limited in these regions.