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

  • Ramy Abou Ghayda
  • , Keum Hwa Lee
  • , Young Joo Han
  • , Seohyun Ryu
  • , Sung Hwi Hong
  • , Sojung Yoon
  • , Gwang Hum Jeong
  • , Jae Won Yang
  • , Hyo Jeong Lee
  • , Jinhee Lee
  • , Jun Young Lee
  • , Maria Effenberger
  • , Michael Eisenhut
  • , Andreas Kronbichler
  • , Marco Solmi
  • , Han Li
  • , Louis Jacob
  • , Ai Koyanagi
  • , Joaquim Radua
  • , Myung Bae Park
  • Sevda Aghayeva, Mohamed L.C.B. Ahmed, Abdulwahed Al Serouri, Humaid O. Al-Shamsi, Mehrdad Amir-Behghadami, Oidov Baatarkhuu, Hyam Bashour, Anastasiia Bondarenko, Adrian Camacho-Ortiz, Franz Castro, Horace Cox, Hayk Davtyan, Kirk Douglas, Elena Dragioti, Shahul Ebrahim, Martina Ferioli, Harapan Harapan, Saad I. Mallah, Aamer Ikram, Shigeru Inoue, Slobodan Jankovic, Umesh Jayarajah, Milos Jesenak, Pramath Kakodkar, Yohannes Kebede, Meron Kifle, David Koh, Visnja K. Males, Katarzyna Kotfis, Sulaiman Lakoh, Lowell Ling, Jorge Llibre-Guerra, Masaki Machida, Richard Makurumidze, Mohammed A. Mamun, Izet Masic, Hoang Van Minh, Sergey Moiseev, Thomas Nadasdy, Chen Nahshon, Silvio A. Ñamendys-Silva, Blaise N. Yongsi, Henning B. Nielsen, Zita A. Nodjikouambaye, Ohnmar Ohnmar, Atte Oksanen, Oluwatomi Owopetu, Konstantinos Parperis, Gonzalo E. Perez, Krit Pongpirul, Marius Rademaker, Sandro Rosa, Ranjit Sah, Dina Sallam, Patrick Schober, Tanu Singhal, Silva Tafaj, Irene Torres, J. Smith Torres-Roman, Dimitrios Tsartsalis, Jadamba Tsolmon, Laziz Tuychiev, Batric Vukcevic, Guy Wanghi, Uwe Wollina, Ren He Xu, Lin Yang, Zoubida Zaidi, Lee Smith, Jae Il Shin
  • Case Western Reserve University
  • Yonsei University
  • Inje University
  • Gyeongsang National University
  • Yonsei University Wonju College of Medicine
  • Innsbruck Medical University
  • Bedfordshire Hospitals NHS Foundation Trust
  • University of Ottawa
  • University of Florida
  • Université Paris-Saclay
  • Biomedical Research Networking Center for Mental Health Network (CIBERSAM)
  • ICREA
  • August Pi i Sunyer Biomedical Research Institute
  • King's College London
  • Karolinska Institutet
  • Paichai University
  • Azerbaycan Tibb Universiteti
  • University of Nouakchott
  • Yemen Field Epidemiology Training Program
  • Burjeel Medical City
  • Tabriz University of Medical Sciences
  • Mongolian National University of Medical Sciences
  • Damascus University
  • Shupyk National Healthcare University of Ukraine
  • Universidad Autonoma de Nuevo Leon
  • Gorgas Memorial Institute for Health Studies
  • Ministry of Health Guyana
  • Tuberculosis Research and Prevention Center NGO
  • University of the West Indies
  • Linköping University
  • Université de Bamako
  • Sant'Orsola Malpighi Hospital
  • Universitas Syiah Kuala
  • Royal College of Surgeons in Ireland - Bahrain
  • Ministry of National Health Services, Regulations and Coordination
  • Tokyo Medical University
  • University of Kragujevac
  • University of Colombo
  • Comenius University
  • University of Galway
  • Jimma University Ethiopia
  • University of Oxford
  • National University of Singapore
  • Clinical Hospital Centre Split, School of Medicine Split, Šoltanska 1
  • Pomeranian Medical University in Szczecin
  • University of Sierra Leone
  • Chinese University of Hong Kong
  • Washington University St. Louis
  • University of Zimbabwe
  • Jahangirnagar University
  • Daffodil International University
  • CHINTA Research Bangladesh
  • Academy of Medical Sciences of Bosnia and Herzegovina
  • Hanoi University of Public Health
  • Sechenov First Moscow State Medical University
  • “St. Parascheva” Clinical Hospital of Infectious Diseases
  • Carmel Medical Center
  • Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran
  • Université de Yaoundé II
  • Sjællands Universitetshospital
  • Mobile Laboratory for Hemorrhagic and Respiratory Viruses in Ndjamena
  • Myanmar Health Ministry
  • Tampere University
  • University of Ibadan
  • University of Cyprus
  • Clínica Olivos
  • Chulalongkorn University
  • The University of Auckland
  • Universidade Federal Fluminense
  • National Institute of Industrial Property
  • National Public Health Laboratory
  • Ain Shams University
  • Academic Medical Centre
  • Kokilaben Dhirubhai Ambani Hospital and Research Institute
  • University Medical Center of Tirana "Mother Teresa"
  • Fundación Octaedro
  • Universidad Científica del Sur
  • Hippokration General Hospital
  • Tashkent Medical Academy
  • University of Montenegro
  • University of Kinshasa
  • Städtisches Klinikum Dresden
  • Faculty of Health Sciences
  • Alberta Health Services
  • University of Calgary
  • Ferhat Abbas Sétif University 1
  • Anglia Ruskin University

Research output: Contribution to journal › Article › peer-review

48 Scopus citations

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 languageEnglish
Pages (from-to)2402-2413
Number of pages12
JournalJournal of Medical Virology
Volume94
Issue number6
DOIs
StatePublished - Jun 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • COVID-19
  • case fatality rate
  • continents
  • proportion meta-analysis

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