The global case fatality rate of coronavirus disease 2019 by continents and national income: A meta-analysis.
Ramy Abou GhaydaKeum Hwa LeeYoung Joo HanSeohyun RyuSung Hwi HongSojung YoonGwang Hum JeongJae Won YangHyo Jeong LeeJinhee LeeJun Young LeeMaria EffenbergerMichael EisenhutAndreas KronbichlerMarco SolmiHan LiLouis JacobAi KoyanagiJoaquim RaduaMyung Bae ParkSevda AghayevaMohamed L C B AhmedAbdulwahed Al SerouriHumaid O Al-ShamsiMehrdad Amir-BehghadamiOidov BaatarkhuuHyam BashourAnastasiia BondarenkoAdrian Camacho-OrtizFranz CastroHorace CoxHayk DavtyanKirk DouglasElena DragiotiShahul EbrahimMartina FerioliHarapan HarapanSaad I MallahAamer IkramShigeru InoueSlobodan JankovicUmesh JayarajahMilos JesenakPramath KakodkarYohannes KebedeMeron KifleDavid KohVisnja K MalesKatarzyna KotfisSulaiman LakohLowell LingJorge Llibre-GuerraMasaki MachidaRichard MakurumidzeMohammed A MamunIzet MasicHoang Van MinhSergey MoiseevThomas NadasdyChen NahshonSilvio A Ñamendys-SilvaBlaise N YongsiHenning B NielsenZita A NodjikouambayeOhnmar OhnmarAtte OksanenOluwatomi OwopetuKonstantinos ParperisGonzalo E PerezKrit PongpirulMarius RademakerSandro RosaRanjit SahDina SallamPatrick SchoberTanu SinghalSilva TafajIrene TorresJ Smith Torres-RomanDimitrios TsartsalisJadamba TsolmonLaziz TuychievBatric VukcevicGuy WanghiUwe WollinaRen-He XuLin YangZoubida ZaidiLee SmithYoun Ho ShinPublished in: Journal of medical virology (2022)
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.
Keyphrases
- coronavirus disease
- sars cov
- mental health
- physical activity
- systematic review
- meta analyses
- respiratory syndrome coronavirus
- randomized controlled trial
- clinical trial
- emergency department
- machine learning
- electronic health record
- big data
- quality improvement
- mass spectrometry
- study protocol
- artificial intelligence
- drinking water