Back

Correlation between daily infections and fatality rate due to Covid-19 in Germany

Mergel, D.

2020-08-04 epidemiology
10.1101/2020.08.03.20167304
Show abstract

The officially reported daily Covid-19 fatality rate is modelled with a trend line based on a nominal day-to-day reproduction rate and a cosine to take account of weekly fluctuations. Although the time trajectories of officially reported infections and fatalities are pronouncedly different, the reproduction rates obtained therefrom are similar. The long-term effective reproduction rate is around 0.835 and the administrative measures to contain the pandemic seem not to have an immediate reducing effect but well the ease of restrictions an increasing one. The fatality trajectory represented by its trend line can be projected from the number of daily infections by assuming a time lapse between symptom onset and death between 17 and 19 days and a time-dependent nominal lethality. The time trajectory of this lethality increases from 2.5% at March 16 when public life was restricted to 6% within 20 days indicating relatively more infections of vulnerable people. After stipulating face mask wearing at April 27, the nominal lethality decreases down to 1% later in summer. A detailed analysis shows that mask wearing really reduces the number of fatal infections and the officially reported daily infections in May and June are less lethal than before.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
PLOS ONE
based on 1737 papers
Top 19%
19.3%
2
Scientific Reports
based on 701 papers
Top 2%
17.4%
3
Eurosurveillance
based on 77 papers
Top 2%
3.3%
4
Swiss Medical Weekly
based on 12 papers
Top 0.1%
3.2%
5
International Journal of Environmental Research and Public Health
based on 116 papers
Top 8%
2.8%
6
Epidemiology and Infection
based on 80 papers
Top 2%
2.8%
7
Frontiers in Public Health
based on 135 papers
Top 11%
2.6%
50% of probability mass above
8
Royal Society Open Science
based on 49 papers
Top 2%
2.1%
9
International Journal of Infectious Diseases
based on 115 papers
Top 8%
1.8%
10
Epidemics
based on 96 papers
Top 5%
1.8%
11
BMC Medicine
based on 155 papers
Top 11%
1.8%
12
Journal of Clinical Medicine
based on 77 papers
Top 10%
1.5%
13
Biology
based on 11 papers
Top 0.3%
1.5%
14
European Journal of Public Health
based on 20 papers
Top 1%
1.5%
15
Frontiers in Medicine
based on 99 papers
Top 12%
1.5%
16
Nature Communications
based on 483 papers
Top 32%
1.5%
17
BMC Infectious Diseases
based on 110 papers
Top 12%
1.4%
18
PLOS Computational Biology
based on 141 papers
Top 7%
1.4%
19
Proceedings of the National Academy of Sciences
based on 100 papers
Top 9%
1.4%
20
Infectious Disease Modelling
based on 50 papers
Top 5%
1.4%
21
BMC Public Health
based on 148 papers
Top 20%
0.9%
22
F1000Research
based on 28 papers
Top 5%
0.8%
23
International Journal of Public Health
based on 17 papers
Top 2%
0.8%