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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.

Identifieur interne : 001018 ( Main/Exploration ); précédent : 001017; suivant : 001019

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.

Auteurs : Ramy Abou Ghayda [États-Unis] ; Keum Hwa Lee [Corée du Sud] ; Young Joo Han [Corée du Sud] ; Seohyun Ryu [Corée du Sud] ; Sung Hwi Hong [Corée du Sud] ; Sojung Yoon [Corée du Sud] ; Gwang Hun Jeong [Corée du Sud] ; Jinhee Lee [Corée du Sud] ; Jun Young Lee [Corée du Sud] ; Jae Won Yang [Corée du Sud] ; Maria Effenberger [Autriche] ; Michael Eisenhut [Royaume-Uni] ; Andreas Kronbichler [Autriche] ; Marco Solmi [Italie] ; Han Li [États-Unis] ; Louis Jacob [Espagne] ; Ai Koyanagi [Espagne] ; Joaquim Radua [Suède] ; Jae Il Shinc [Corée du Sud] ; Lee Smith [Royaume-Uni]

Source :

RBID : pubmed:32882434

Abstract

OBJECTIVE

Since the outbreak of the coronavirus disease 2019 (COVID-19) in December of 2019 in China, the estimation of 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 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.

RESULTS

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.

CONCLUSION

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.


DOI: 10.1016/j.ijid.2020.08.065
PubMed: 32882434
PubMed Central: PMC7462556


Affiliations:


Links toward previous steps (curation, corpus...)


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<name sortKey="Jacob, Louis" sort="Jacob, Louis" uniqKey="Jacob L" first="Louis" last="Jacob">Louis Jacob</name>
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<name sortKey="Lee, Jinhee" sort="Lee, Jinhee" uniqKey="Lee J" first="Jinhee" last="Lee">Jinhee Lee</name>
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<name sortKey="Lee, Jun Young" sort="Lee, Jun Young" uniqKey="Lee J" first="Jun Young" last="Lee">Jun Young Lee</name>
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<name sortKey="Yang, Jae Won" sort="Yang, Jae Won" uniqKey="Yang J" first="Jae Won" last="Yang">Jae Won Yang</name>
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<nlm:affiliation>Department of Nephrology, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.</nlm:affiliation>
<country xml:lang="fr">Corée du Sud</country>
<wicri:regionArea>Department of Nephrology, Yonsei University Wonju College of Medicine, Wonju</wicri:regionArea>
<wicri:noRegion>Wonju</wicri:noRegion>
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<name sortKey="Effenberger, Maria" sort="Effenberger, Maria" uniqKey="Effenberger M" first="Maria" last="Effenberger">Maria Effenberger</name>
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<nlm:affiliation>Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology & Metabolism, Medical University Innsbruck, Innsbruck, Austria.</nlm:affiliation>
<country xml:lang="fr">Autriche</country>
<wicri:regionArea>Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology & Metabolism, Medical University Innsbruck, Innsbruck</wicri:regionArea>
<wicri:noRegion>Innsbruck</wicri:noRegion>
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<name sortKey="Eisenhut, Michael" sort="Eisenhut, Michael" uniqKey="Eisenhut M" first="Michael" last="Eisenhut">Michael Eisenhut</name>
<affiliation wicri:level="1">
<nlm:affiliation>Luton & Dunstable University Hospital NHS Foundation Trust, Luton, United Kingdom.</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Luton & Dunstable University Hospital NHS Foundation Trust, Luton</wicri:regionArea>
<wicri:noRegion>Luton</wicri:noRegion>
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<name sortKey="Kronbichler, Andreas" sort="Kronbichler, Andreas" uniqKey="Kronbichler A" first="Andreas" last="Kronbichler">Andreas Kronbichler</name>
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<nlm:affiliation>Department of Internal Medicine IV, Nephrology and Hypertension, Medical University Innsbruck, Innsbruck, Austria.</nlm:affiliation>
<country xml:lang="fr">Autriche</country>
<wicri:regionArea>Department of Internal Medicine IV, Nephrology and Hypertension, Medical University Innsbruck, Innsbruck</wicri:regionArea>
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<name sortKey="Solmi, Marco" sort="Solmi, Marco" uniqKey="Solmi M" first="Marco" last="Solmi">Marco Solmi</name>
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<nlm:affiliation>Neurosciences Department, University of Padua, Padua, Italy; Padua Neuroscience Center, Padua, Italy.</nlm:affiliation>
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</affiliation>
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<author>
<name sortKey="Li, Han" sort="Li, Han" uniqKey="Li H" first="Han" last="Li">Han Li</name>
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<nlm:affiliation>University of Florida College of Medicine, Gainesville, FL, 32610, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
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</affiliation>
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<author>
<name sortKey="Jacob, Louis" sort="Jacob, Louis" uniqKey="Jacob L" first="Louis" last="Jacob">Louis Jacob</name>
<affiliation wicri:level="3">
<nlm:affiliation>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.</nlm:affiliation>
<country xml:lang="fr">Espagne</country>
<wicri:regionArea>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</wicri:regionArea>
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<name sortKey="Koyanagi, Ai" sort="Koyanagi, Ai" uniqKey="Koyanagi A" first="Ai" last="Koyanagi">Ai Koyanagi</name>
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<nlm:affiliation>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.</nlm:affiliation>
<country xml:lang="fr">Espagne</country>
<wicri:regionArea>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</wicri:regionArea>
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<region nuts="2" type="region">Catalogne</region>
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<name sortKey="Radua, Joaquim" sort="Radua, Joaquim" uniqKey="Radua J" first="Joaquim" last="Radua">Joaquim Radua</name>
<affiliation wicri:level="3">
<nlm:affiliation>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, Karolinska Institutet, 113 30, Stockholm, Sweden.</nlm:affiliation>
<country xml:lang="fr">Suède</country>
<wicri:regionArea>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, Karolinska Institutet, 113 30, Stockholm</wicri:regionArea>
<placeName>
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<region nuts="2">Svealand</region>
</placeName>
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<name sortKey="Shinc, Jae Il" sort="Shinc, Jae Il" uniqKey="Shinc J" first="Jae Il" last="Shinc">Jae Il Shinc</name>
<affiliation wicri:level="3">
<nlm:affiliation>Department of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea. Electronic address: shinji@yuhs.ac.</nlm:affiliation>
<country xml:lang="fr">Corée du Sud</country>
<wicri:regionArea>Department of Pediatrics, Yonsei University College of Medicine, Seoul</wicri:regionArea>
<placeName>
<settlement type="city">Séoul</settlement>
<region type="capital">Région capitale de Séoul</region>
</placeName>
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<author>
<name sortKey="Smith, Lee" sort="Smith, Lee" uniqKey="Smith L" first="Lee" last="Smith">Lee Smith</name>
<affiliation wicri:level="1">
<nlm:affiliation>The Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge, CB1 1PT, UK.</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>The Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge, CB1 1PT</wicri:regionArea>
<wicri:noRegion>CB1 1PT</wicri:noRegion>
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<series>
<title level="j">International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases</title>
<idno type="eISSN">1878-3511</idno>
<imprint>
<date when="2020" type="published">2020</date>
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<div type="abstract" xml:lang="en">
<p>
<b>OBJECTIVE</b>
</p>
<p>Since the outbreak of the coronavirus disease 2019 (COVID-19) in December of 2019 in China, the estimation of 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.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>METHODS</b>
</p>
<p>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.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>RESULTS</b>
</p>
<p>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.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>CONCLUSION</b>
</p>
<p>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.</p>
</div>
</front>
</TEI>
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<ArticleTitle>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.</ArticleTitle>
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<AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">Since the outbreak of the coronavirus disease 2019 (COVID-19) in December of 2019 in China, the estimation of 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.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">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.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">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.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">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.</AbstractText>
<CopyrightInformation>Copyright © 2020. Published by Elsevier Ltd.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y">
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<LastName>Abou Ghayda</LastName>
<ForeName>Ramy</ForeName>
<Initials>R</Initials>
<AffiliationInfo>
<Affiliation>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, Harvard Medical School, Boston, MA, USA.</Affiliation>
</AffiliationInfo>
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<ForeName>Young Joo</ForeName>
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<ForeName>Jun Young</ForeName>
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<Initials>M</Initials>
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</AffiliationInfo>
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<LastName>Eisenhut</LastName>
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</AffiliationInfo>
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<LastName>Kronbichler</LastName>
<ForeName>Andreas</ForeName>
<Initials>A</Initials>
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</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Solmi</LastName>
<ForeName>Marco</ForeName>
<Initials>M</Initials>
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<Affiliation>Neurosciences Department, University of Padua, Padua, Italy; Padua Neuroscience Center, Padua, Italy.</Affiliation>
</AffiliationInfo>
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<LastName>Li</LastName>
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<LastName>Jacob</LastName>
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<Initials>L</Initials>
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<Affiliation>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, Karolinska Institutet, 113 30, Stockholm, Sweden.</Affiliation>
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<LastName>Shinc</LastName>
<ForeName>Jae Il</ForeName>
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<Affiliation>Department of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea. Electronic address: shinji@yuhs.ac.</Affiliation>
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<LastName>Smith</LastName>
<ForeName>Lee</ForeName>
<Initials>L</Initials>
<AffiliationInfo>
<Affiliation>The Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge, CB1 1PT, UK.</Affiliation>
</AffiliationInfo>
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<li>Espagne</li>
<li>Italie</li>
<li>Royaume-Uni</li>
<li>Suède</li>
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</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/CovidFranceV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001018 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 001018 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    CovidFranceV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:32882434
   |texte=   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.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:32882434" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a CovidFranceV1 

Wicri

This area was generated with Dilib version V0.6.37.
Data generation: Tue Oct 6 23:31:36 2020. Site generation: Fri Feb 12 22:48:37 2021