COVID-19 case fatality rate and infection fatality rate from 2020 to 2023: Nationwide analysis in Austria

被引:0
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作者
Riedmann, Uwe [1 ]
Chalupka, Alena [1 ,2 ]
Richter, Lukas [2 ,3 ]
Sprenger, Martin [4 ]
Rauch, Wolfgang [5 ]
Krause, Robert [6 ]
Willeit, Peter [7 ,8 ,9 ]
Schennach, Harald [10 ,11 ]
Benka, Bernhard [2 ]
Werber, Dirk [2 ]
Hoeg, Tracy Beth [12 ,13 ]
Ioannidis, John P. A. [14 ,15 ,16 ,17 ,18 ]
Pilz, Stefan [1 ]
机构
[1] Med Univ Graz, Dept Internal Med, Div Endocrinol & Diabetol, Auenbruggerpl 15, A-8036 Graz, Austria
[2] Austrian Agcy Hlth & Food Safety AGES, Inst Surveillance & Infect Dis Epidemiol, A-1220 Vienna, Austria
[3] Graz Univ Technol, Inst Stat, A-8010 Graz, Austria
[4] Med Univ Graz, Inst Social Med & Epidemiol, A- 8036 Graz, Austria
[5] Univ Innsbruck, Dept Environm Engn, A-6020 Innsbruck, Austria
[6] Med Univ Graz, Dept Internal Med, Div Infect Dis, Graz, Austria
[7] Med Univ Innsbruck, Inst Clin Epidemiol Publ Hlth Hlth Econ Med Stat &, A-6020 Innsbruck, Austria
[8] Univ Cambridge, Dept Publ Hlth & Primary Care, Cambridge CB2 0SR, England
[9] Ignaz Semmelweis Inst, Interuniv Inst Infect Res, A-1090 Vienna, Austria
[10] Tirol Kliniken GmbH, Cent Inst Blood Transfus, A-6020 Innsbruck, Austria
[11] Tirol Kliniken GmbH, Dept Immunol ZIB, A-6020 Innsbruck, Austria
[12] MIT, Sloan Sch Management, Cambridge, MA 02142 USA
[13] Univ Southern Denmark, Dept Clin Res, DK-5230 Odense M, Denmark
[14] Stanford Univ, Dept Med, Stanford, CA 94305 USA
[15] Stanford Univ, Dept Epidemiol & Populat Hlth, Stanford, CA 94305 USA
[16] Stanford Univ, Dept Biomed Data Sci, Stanford, CA 94305 USA
[17] Stanford Univ, Dept Stat, Stanford, CA 94305 USA
[18] Stanford Univ, Meta Res Innovat Ctr Stanford METR, Stanford, CA 94305 USA
基金
奥地利科学基金会;
关键词
SARS-CoV-2; COVID-19; Case fatality rate; Infection fatality rate; Austria; Nationwide;
D O I
10.1016/j.jiph.2025.102698
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Comprehensive analyses of COVID-19 case fatality rates (CFRs) and infection fatality rates (IFRs) that span the entire pandemic are not yet available but critical to retrospectively evaluate the COVID19 disease burden and its related public health policies. We used nationwide individual participant data from Austria, the continental country with the highest SARS-CoV-2 testing rate per capita, to calculate COVID-19 CFR and estimate IFR covering the entire pandemic. Methods: This retrospective observational study included all Austrian residents and covered the time from February 2020 to May 2023, examining CFRs overall, monthly, and during dominant SARS-CoV-2 variant periods. CFRs were calculated for the whole population and stratified according to immunization status (presence of previous vaccination and/or infection), age, gender and nursing home residency. We additionally estimated the IFRs based on estimations of undocumented infections using a test positivity model. Results: The overall CFR of 30-day COVID-19 mortality was 0.31 % but varied depending on month, with the highest being 5.9 % in April 2020 and the lowest 0.07 % in January 2022. The variant periods reflected this trend of decreasing CFR, with the highest for Wuhan-Hu-1 (2.05 %) and the lowest for BA.1 (0.08 %). Overall CFRs were particularly high in the group without any previous immunizing event (0.67 %), the elderly (85 + year group: 7.88 %) and in nursing home residents (7.92 %). Nursing home residents accounted for 30.82 % of all COVID-19 deaths while representing only 1.22 % of diagnosed infections. Total SARS-CoV-2 infections were estimated to be almost double than confirmed cases with a corresponding overall IFR of 0.16 %. Conclusion: This estimation of nationwide CFR and IFR across the entirety of the SARS-CoV-2 pandemic gives crucial insights into the period-dependent variability of the severity of diagnosed COVID-19 cases and its risk factors. Our findings further underline the disproportionate severity of COVID-19 among the elderly and especially nursing home residents. (c) 2025 The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/ 4.0/).
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页数:9
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