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Estimation of global case fatality rate of coronavirus disease 2019 (COVID-19) using meta-analyses: Comparison between calendar date and days since the outbreak of the first confirmed case.
Ghayda, Ramy Abou; Lee, Keum Hwa; Han, Young Joo; Ryu, Seohyun; Hong, Sung Hwi; Yoon, Sojung; Jeong, Gwang Hun; Lee, Jinhee; Lee, Jun Young; Yang, Jae Won; Effenberger, Maria; Eisenhut, Michael; Kronbichler, Andreas; Solmi, Marco; Li, Han; Jacob, Louis; Koyanagi, Ai; Radua, Joaquim; Shin, Jae Il; Smith, Lee.
  • Ghayda RA; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Division of Urology, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.
  • Lee KH; Department of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Han YJ; Department of Pediatrics, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Republic of Korea.
  • Ryu S; Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Hong SH; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Yoon S; Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Jeong GH; College of Medicine, Gyeongsang National University, Jinju, Republic of Korea.
  • Lee J; Department of Psychiatry, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
  • Lee JY; Department of Nephrology, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
  • Yang JW; Department of Nephrology, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
  • Effenberger M; Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology & Metabolism, Medical University Innsbruck, Innsbruck, Austria.
  • Eisenhut M; Luton & Dunstable University Hospital NHS Foundation Trust, Luton, United Kingdom.
  • Kronbichler A; Department of Internal Medicine IV, Nephrology and Hypertension, Medical University Innsbruck, Innsbruck, Austria.
  • Solmi M; Neurosciences Department, University of Padua, Padua, Italy; Padua Neuroscience Center, Padua, Italy.
  • Li H; University of Florida College of Medicine, Gainesville, FL 32610, USA.
  • Jacob L; Faculty of Medicine, University of Versailles Saint-Quentin-en-Yvelines, Montigny-le-Bretonneux, 78180, Versailles, France; Research and Development Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, Dr. Antoni Pujadas, 42, Sant Boi de Llobregat, 08830, Barcelona, Spain.
  • Koyanagi A; Research and Development Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, Dr. Antoni Pujadas, 42, Sant Boi de Llobregat, 08830, Barcelona, Spain; ICREA, Pg. Lluis Companys 23, Barcelona, Spain.
  • Radua J; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain; Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London E5 8AF, UK; Centre for Psychiatric Research, Department of Clinical Neuroscience, Karolins
  • Shin JI; Department of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea. Electronic address: shinji@yuhs.ac.
  • Smith L; The Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge, CB1 1PT, UK.
Int J Infect Dis ; 100: 302-308, 2020 Nov.
Article in English | MEDLINE | ID: covidwho-959814
Preprint
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ABSTRACT

OBJECTIVE:

Since the outbreak of the coronavirus disease 2019 (COVID-19) in December of 2019 in China, estimating the pandemic's case fatality rate (CFR) has been the focus and interest of many stakeholders. In this manuscript, we prove that the method of using the cumulative CFR is static and does not reflect the trend according to the daily change per unit of time.

METHODS:

A proportion meta-analysis was carried out on the CFR in every country reporting COVID-19 cases. Based on these results, we performed a meta-analysis for a global COVID-19 CFR. Each analysis was performed using two different calculations of CFR according to the calendar date and according to the days since the outbreak of the first confirmed case. We thus explored an innovative and original calculation of CFR, concurrently based on the date of the first confirmed case as well as on a daily basis.

RESULTS:

For the first time, we showed that using meta-analyses according to the calendar date and days since the outbreak of the first confirmed case, were different.

CONCLUSION:

We propose that a CFR according to days since the outbreak of the first confirmed case might be a better predictor of the current CFR of COVID-19 and its kinetics.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study / Reviews Limits: Humans Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2020 Document Type: Article Affiliation country: J.ijid.2020.08.065

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study / Reviews Limits: Humans Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2020 Document Type: Article Affiliation country: J.ijid.2020.08.065