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The global case fatality rate of coronavirus disease 2019 by continents and national income: A meta-analysisopen access

Authors
Abou Ghayda, RamyLee, Keum HwaHan, Young JooRyu, SeohyunHong, Sung HwiYoon, SojungJeong, Gwang HunYang, Jae WonLee, Hyo JeongLee, JinheeLee, Jun YoungEffenberger, MariaEisenhut, MichaelKronbichler, AndreasSolmi, MarcoLi, HanJacob, LouisKoyanagi, AiRadua, JoaquimPark, Myung BaeAghayeva, SevdaAhmed, Mohamed L. C. B.Al Serouri, AbdulwahedAl-Shamsi, Humaid O.Amir-Behghadami, MehrdadBaatarkhuu, OidovBashour, HyamBondarenko, AnastasiiaCamacho-Ortiz, AdrianCastro, FranzCox, HoraceDavtyan, HaykDouglas, KirkDragioti, ElenaEbrahim, ShahulFerioli, MartinaHarapan, HarapanMallah, Saad, IIkram, AamerInoue, ShigeruJankovic, SlobodanJayarajah, UmeshJesenak, MilosKakodkar, PramathKebede, YohannesKifle, MeronKoh, DavidMales, Visnja K.Kotfis, KatarzynaLakoh, SulaimanLing, LowellLlibre-Guerra, JorgeMachida, MasakiMakurumidze, RichardMamun, MohammedMasic, IzetVan Minh, HoangMoiseev, SergeyNadasdy, ThomasNahshon, ChenNamendys-Silva, Silvio A.Yongsi, Blaise N.Nielsen, Henning B.Nodjikouambaye, Zita A.Ohnmar, OhnmarOksanen, AtteOwopetu, OluwatomiParperis, KonstantinosPerez, Gonzalo E.Pongpirul, KritRademaker, MariusRosa, SandroSah, RanjitSallam, DinaSchober, PatrickSinghal, TanuTafaj, SilvaTorres, IreneSmith Torres-Roman, J.Tsartsalis, DimitriosTsolmon, JadambaTuychiev, LazizVukcevic, BatricWanghi, GuyWollina, UweXu, Ren-HeYang, LinZaidi, ZoubidaSmith, LeeShin, Jae Il
Issue Date
Jun-2022
Publisher
John Wiley & Sons Inc.
Keywords
case fatality rate; continents; COVID-19; proportion meta-analysis
Citation
Journal of Medical Virology, v.94, no.6, pp 2402 - 2413
Pages
12
Indexed
SCIE
SCOPUS
Journal Title
Journal of Medical Virology
Volume
94
Number
6
Start Page
2402
End Page
2413
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/71748
DOI
10.1002/jmv.27610
ISSN
0146-6615
1096-9071
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.
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