Abstract
The aim of this study is to provide a more accurate representation of COVID-19's case fatality rate (CFR) by performing meta-analyses by continents and income, and by comparing the result with pooled estimates. We used multiple worldwide data sources on COVID-19 for every country reporting COVID-19 cases. On the basis of data, we performed random and fixed meta-analyses for CFR of COVID-19 by continents and income according to each individual calendar date. CFR was estimated based on the different geographical regions and levels of income using three models: pooled estimates, fixed- and random-model. In Asia, all three types of CFR initially remained approximately between 2.0% and 3.0%. In the case of pooled estimates and the fixed model results, CFR increased to 4.0%, by then gradually decreasing, while in the case of random-model, CFR remained under 2.0%. Similarly, in Europe, initially, the two types of CFR peaked at 9.0% and 10.0%, respectively. The random-model results showed an increase near 5.0%. In high-income countries, pooled estimates and fixed-model showed gradually increasing trends with a final pooled estimates and random-model reached about 8.0% and 4.0%, respectively. In middle-income, the pooled estimates and fixed-model have gradually increased reaching up to 4.5%. in low-income countries, CFRs remained similar between 1.5% and 3.0%. Our study emphasizes that COVID-19 CFR is not a fixed or static value. Rather, it is a dynamic estimate that changes with time, population, socioeconomic factors, and the mitigatory efforts of individual countries.
Original language | English |
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Pages (from-to) | 2402-2413 |
Number of pages | 12 |
Journal | Journal of Medical Virology |
Volume | 94 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2022 Jun |
Bibliographical note
Funding Information:The case fatality rate (CFR) meta-analyses of COVID-19 according to continents and income on this study are novel and have not been published before, but a part of this study on the global CFR meta-analysis by calendar date was somewhat overlapped with the authors' previous work which was published in August 2020 in the International Journal of Infectious Diseases.
Publisher Copyright:
© 2022 Wiley Periodicals LLC.
All Science Journal Classification (ASJC) codes
- Infectious Diseases
- Virology