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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.
Ramy Abou Ghayda; Keum Hwa Lee; Young Joo Han; Seohyun Ryu; Sung Hwi Hong; Sojung Yoon; Gwang Hun Jeong; Jinhee Lee; Jun Young Lee; Jae Won Yang; Maria Effenberger; Michael Eisenhut; Andreas Kronbichler; Marco Solmi; Han Li; Louis Jacob; Ai Koyanagi; Joaquim Radua; Jae Il Shin; Lee Smith.
Afiliação
  • Ramy Abou Ghayda; Brigham and Women's Hospital, Boston, MA, USA
  • Keum Hwa Lee; Department of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea
  • Young Joo Han; Department of Pediatrics, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Republic of Korea
  • Seohyun Ryu; Yonsei University College of Medicine, Seoul, Republic of Korea
  • Sung Hwi Hong; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
  • Sojung Yoon; Yonsei University College of Medicine, Seoul, Republic of Korea
  • Gwang Hun Jeong; College of Medicine, Gyeongsang National University, Jinju, Republic of Korea
  • Jinhee Lee; Department of Psychiatry, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
  • Jun Young Lee; Department of Nephrology, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
  • Jae Won Yang; Department of Nephrology, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
  • Maria Effenberger; Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology & Metabolism, Medical University Innsbruck, Innsbruck, Austria
  • Michael Eisenhut; Luton & Dunstable University Hospital NHS Foundation Trust, Luton, United Kingdom
  • Andreas Kronbichler; Department of Internal Medicine IV, Nephrology and Hypertension, Medical University Innsbruck, Innsbruck, Austria
  • Marco Solmi; Neurosciences Department, University of Padua, Padua, Italy
  • Han Li; University of Florida College of Medicine, Gainesville, FL 32610, USA
  • Louis Jacob; Faculty of Medicine, University of Versailles Saint-Quentin-en-Yvelines, Montigny-le- Bretonneux, 78180, Versailles, France.
  • Ai Koyanagi; Research and Development Unit, Parc Sanitari Sant Joan de Deu, CIBERSAM, Dr. Antoni Pujadas, 42, Sant Boi de Llobregat, 08830, Barcelona, Spain.
  • Joaquim Radua; Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
  • Jae Il Shin; Department of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea
  • Lee Smith; The Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge, CB1 1PT, UK.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20128959
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ABSTRACT
Since the outbreak of the coronavirus disease 2019 (COVID-19) in December of 2019 in China, the estimation of the pandemics 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. A proportion meta-analysis was carried out on CFR in every country reporting COVID-19 cases. Based on the results, we performed a meta-analysis for global COVID-19 CFR. Each analysis was performed on two different calculations of CFR according to calendar date and according to 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. For the first time, we showed that using meta-analyses, according to calendar date and days since the outbreak of the first confirmed case were different. We propose that 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.
Licença
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo prognóstico / Review Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo prognóstico / Review Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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