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Meta-Analysis
. 2022 Jun;94(6):2402-2413.
doi: 10.1002/jmv.27610. Epub 2022 Feb 25.

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

Ramy Abou Ghayda  1 Keum Hwa Lee  2 Young Joo Han  3 Seohyun Ryu  4 Sung Hwi Hong  4 Sojung Yoon  4 Gwang Hum Jeong  5 Jae Won Yang  6 Hyo Jeong Lee  4 Jinhee Lee  7 Jun Young Lee  6 Maria Effenberger  8 Michael Eisenhut  9 Andreas Kronbichler  10 Marco Solmi  11   12   13   14 Han Li  15 Louis Jacob  16   17 Ai Koyanagi  17   18 Joaquim Radua  19   20   21 Myung Bae Park  22 Sevda Aghayeva  23 Mohamed L C B Ahmed  24 Abdulwahed Al Serouri  25 Humaid O Al-Shamsi  26   27 Mehrdad Amir-Behghadami  28   29   30 Oidov Baatarkhuu  31 Hyam Bashour  32 Anastasiia Bondarenko  33 Adrian Camacho-Ortiz  34 Franz Castro  35 Horace Cox  36 Hayk Davtyan  37 Kirk Douglas  38 Elena Dragioti  39 Shahul Ebrahim  40 Martina Ferioli  41 Harapan Harapan  42 Saad I Mallah  43 Aamer Ikram  44 Shigeru Inoue  45 Slobodan Jankovic  46 Umesh Jayarajah  47 Milos Jesenak  48 Pramath Kakodkar  49 Yohannes Kebede  50 Meron Kifle  51 David Koh  52 Visnja K Males  53 Katarzyna Kotfis  54 Sulaiman Lakoh  55 Lowell Ling  56 Jorge Llibre-Guerra  57 Masaki Machida  45 Richard Makurumidze  58 Mohammed A Mamun  59   60   61 Izet Masic  62 Hoang Van Minh  63 Sergey Moiseev  64 Thomas Nadasdy  65 Chen Nahshon  66 Silvio A Ñamendys-Silva  67 Blaise N Yongsi  68 Henning B Nielsen  69 Zita A Nodjikouambaye  70 Ohnmar Ohnmar  71 Atte Oksanen  72 Oluwatomi Owopetu  73 Konstantinos Parperis  74 Gonzalo E Perez  75 Krit Pongpirul  76 Marius Rademaker  77 Sandro Rosa  78   79 Ranjit Sah  80 Dina Sallam  81 Patrick Schober  82 Tanu Singhal  83 Silva Tafaj  84 Irene Torres  85 J Smith Torres-Roman  86 Dimitrios Tsartsalis  87 Jadamba Tsolmon  88 Laziz Tuychiev  89 Batric Vukcevic  90 Guy Wanghi  91 Uwe Wollina  92 Ren-He Xu  93 Lin Yang  94   95 Zoubida Zaidi  96 Lee Smith  97 Jae Il Shin  2
Affiliations
Meta-Analysis

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

Ramy Abou Ghayda et al. J Med Virol. 2022 Jun.

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.

Keywords: COVID-19; case fatality rate; continents; proportion meta-analysis.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Timeline of variables among countries with COVID‐19 reported as of October 30, 2020: (A) No. of patients, (B) pooled‐estimated CFR, (C) fixed‐estimated CFR, and (D) random‐estimated CFR. fixed: fixed‐effect model, random: random‐effect model, and pooled: calculated CFR based on incidence and mortality data. CFR, case fatality rate; COVID‐19, coronavirus 2019; NA, North America; No., number; SA, South America
Figure 2
Figure 2
Timeline of variables classified grade of income among countries with COVID‐19 reported as of October 30, 2020: (A) No. of patients, (B) pooled‐estimated CFR, (C) fixed‐estimated CFR, and (D) random‐estimated CFR. Fixed: fixed‐effect model, random: random‐effect model, and pooled: calculated CFR based on incidence and mortality data. CFR, case fatality rate; COVID‐19, coronavirus 2019; HI, high income; LI, low income; MI, middle income; No., number
Figure 3
Figure 3
Timeline of CFR according to calendar date (reported as of October 30, 2020) in: (A) the whole world, (B) Asia, (C) Europe, (D) North America, (E) South America, (F) Africa, and (G) Oceania. Fixed: fixed‐effect model, random: random‐effect model, and pooled: calculated CFR based on incidence and mortality data. CFR, case fatality rate; No., number
Figure 4
Figure 4
Timeline of CFR according to calendar date (reported as of October 30, 2020) in: (A) high‐income countries, (B) middle‐income countries, and (C) low‐income countries. Fixed: fixed‐effect model, random: random‐effect model, and pooled: calculated CFR based on incidence and mortality data. CFR, case fatality rate; No., number

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