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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
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7462556/ https://www.ncbi.nlm.nih.gov/pubmed/32882434 http://dx.doi.org/10.1016/j.ijid.2020.08.065 |
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author | 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 |
author_facet | 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 |
author_sort | Ghayda, Ramy Abou |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7462556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74625562020-09-02 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 Int J Infect Dis Article 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. The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2020-11 2020-09-01 /pmc/articles/PMC7462556/ /pubmed/32882434 http://dx.doi.org/10.1016/j.ijid.2020.08.065 Text en © 2020 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article 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 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 |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7462556/ https://www.ncbi.nlm.nih.gov/pubmed/32882434 http://dx.doi.org/10.1016/j.ijid.2020.08.065 |
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