Estimating effective infection fatality rates during the course of the Covid-19 pandemic in Germany
Bibliographic Data
| ID | 15361328 |
|---|---|
| Authors | Christian Staerk (0000-0003-0526-0189, University of Bonn, corresponding author), Tobias Wistuba (University of Bonn), Andreas Mayr (0000-0001-7106-9732, University of Bonn) |
| Year | 2021 |
| Volume | 21 |
| Issue | 1 |
| Pages | 1073-1073 |
| Publication date | 2021-06-05 |
| Open Access | Yes |
| Type | PREPRINT |
| Venue | BMC Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1471-2458 • E-ISSN: 1471-2458 |
| Publisher | BioMed Central (PUBLISHER • GB) |
| DOI | 10.1186/s12889-021-11127-7 |
| PMID | 34090392 |
| OpenAlex | W3125251106 |
| Language | EN |
| Citations received | 4 |
| References cited | 19 |
The development of estimated effective IFR and observed CFR reflects the changing age distribution of infections over the course of the COVID-19 pandemic in Germany. Further research is warranted to obtain timely age-stratified IFR estimates, particularly in light of new variants of the virus
Age groups · Age structure · Case fatality rate · Context (archaeology · Coronavirus disease 2019 (COVID-19 · Disease · Distribution (mathematics · Geography · Infectious disease (medical specialty · Pandemic · Population · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · COVID-19 and healthcare impacts · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Demography · Mathematics · Medicine · Internal Medicine
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| Citations per year | 0.8 |
|---|---|
| Citation span | 2021 - 2023 (3) |
| Highly cited | No |