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Years of Life Lost Attributable to COVID-19 in High-incidence Countries.

Identifieur interne : 000066 ( Main/Exploration ); précédent : 000065; suivant : 000067

Years of Life Lost Attributable to COVID-19 in High-incidence Countries.

Auteurs : In Hwan Oh [Corée du Sud] ; Minsu Ock [Corée du Sud] ; Su Yeon Jang [Corée du Sud] ; Dun Sol Go [Corée du Sud] ; Young Eun Kim [Corée du Sud] ; Yoon Sun Jung [Corée du Sud] ; Ki Beom Kim [Corée du Sud] ; Hyesook Park [Corée du Sud] ; Min Woo Jo [Corée du Sud] ; Seok Jun Yoon [Corée du Sud]

Source :

RBID : pubmed:32808515

Descripteurs français

English descriptors

Abstract

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic is a major public health problem of international concern. It is important to estimate its impact of COVID-19 for health policy decision-making. We estimated the years of life lost (YLLs) due to COVID-19 in high-incidence countries.

METHODS

We collected the YLLs due to COVID-19 in 30 high-incidence countries as of April 13, 2020 and followed up as of July 14, 2020. Incidence and mortality were collected using each country's formal reports, articles, and other electronic sources. The life expectancy of Japanese females by age and the UN population data were used to calculate YLLs in total and per 100,000.

RESULTS

As of April 22, 2020, there were 1,699,574 YLLs due to COVID-19 in 30 high-incidence countries. On July 14, 2020, this increased to 4,072,325. Both on April 22 and July 14, the total YLLs due to COVID-19 was highest in the USA (April 22, 534,481 YLLs; July 14, 1,199,510 YLLs), and the YLLs per 100,000 population was highest in Belgium (April 22, 868.12 YLLs/100,000; July 14, 1,593.72 YLLs/100,000). YLLs due to COVID-19 were higher among males than among females and higher in those aged ≥ 60 years than in younger individuals. Belgium had the highest proportion of YLLs attributable to COVID-19 as a proportion of the total YLLs and the highest disability-adjusted life years per 100,000 population.

CONCLUSION

This study estimated YLLs due to COVID-19 in 30 countries. COVID-19 is a high burden in the USA and Belgium, among males and the elderly. The YLLs are very closely related with the incidence as well as the mortality. This highlights the importance of the early detection of incident case that minimizes severe acute respiratory syndrome coronavirus-2 fatality.


DOI: 10.3346/jkms.2020.35.e300
PubMed: 32808515
PubMed Central: PMC7431288


Affiliations:


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Le document en format XML

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<term>Adolescent (MeSH)</term>
<term>Adult (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Aged, 80 and over (MeSH)</term>
<term>Betacoronavirus (MeSH)</term>
<term>Child (MeSH)</term>
<term>Child, Preschool (MeSH)</term>
<term>Coronavirus Infections (epidemiology)</term>
<term>Coronavirus Infections (mortality)</term>
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<term>Humans (MeSH)</term>
<term>Incidence (MeSH)</term>
<term>Infant (MeSH)</term>
<term>Infant, Newborn (MeSH)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
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<term>Pneumonia, Viral (epidemiology)</term>
<term>Pneumonia, Viral (mortality)</term>
<term>Young Adult (MeSH)</term>
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<term>Adolescent (MeSH)</term>
<term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Betacoronavirus (MeSH)</term>
<term>Coûts indirects de la maladie (MeSH)</term>
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<term>Enfant d'âge préscolaire (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Incidence (MeSH)</term>
<term>Infections à coronavirus (mortalité)</term>
<term>Infections à coronavirus (épidémiologie)</term>
<term>Jeune adulte (MeSH)</term>
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<term>Nourrisson (MeSH)</term>
<term>Nouveau-né (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Pneumopathie virale (mortalité)</term>
<term>Pneumopathie virale (épidémiologie)</term>
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<term>Sujet âgé de 80 ans ou plus (MeSH)</term>
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<term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
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<term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
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<term>Pneumopathie virale</term>
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<term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
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<term>Adolescent</term>
<term>Adult</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Betacoronavirus</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Cost of Illness</term>
<term>Female</term>
<term>Humans</term>
<term>Incidence</term>
<term>Infant</term>
<term>Infant, Newborn</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Pandemics</term>
<term>Young Adult</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Adolescent</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Betacoronavirus</term>
<term>Coûts indirects de la maladie</term>
<term>Enfant</term>
<term>Enfant d'âge préscolaire</term>
<term>Femelle</term>
<term>Humains</term>
<term>Incidence</term>
<term>Jeune adulte</term>
<term>Mâle</term>
<term>Nourrisson</term>
<term>Nouveau-né</term>
<term>Pandémies</term>
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<p>
<b>BACKGROUND</b>
</p>
<p>The coronavirus disease 2019 (COVID-19) pandemic is a major public health problem of international concern. It is important to estimate its impact of COVID-19 for health policy decision-making. We estimated the years of life lost (YLLs) due to COVID-19 in high-incidence countries.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>METHODS</b>
</p>
<p>We collected the YLLs due to COVID-19 in 30 high-incidence countries as of April 13, 2020 and followed up as of July 14, 2020. Incidence and mortality were collected using each country's formal reports, articles, and other electronic sources. The life expectancy of Japanese females by age and the UN population data were used to calculate YLLs in total and per 100,000.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>RESULTS</b>
</p>
<p>As of April 22, 2020, there were 1,699,574 YLLs due to COVID-19 in 30 high-incidence countries. On July 14, 2020, this increased to 4,072,325. Both on April 22 and July 14, the total YLLs due to COVID-19 was highest in the USA (April 22, 534,481 YLLs; July 14, 1,199,510 YLLs), and the YLLs per 100,000 population was highest in Belgium (April 22, 868.12 YLLs/100,000; July 14, 1,593.72 YLLs/100,000). YLLs due to COVID-19 were higher among males than among females and higher in those aged ≥ 60 years than in younger individuals. Belgium had the highest proportion of YLLs attributable to COVID-19 as a proportion of the total YLLs and the highest disability-adjusted life years per 100,000 population.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>CONCLUSION</b>
</p>
<p>This study estimated YLLs due to COVID-19 in 30 countries. COVID-19 is a high burden in the USA and Belgium, among males and the elderly. The YLLs are very closely related with the incidence as well as the mortality. This highlights the importance of the early detection of incident case that minimizes severe acute respiratory syndrome coronavirus-2 fatality.</p>
</div>
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<Title>Journal of Korean medical science</Title>
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<AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The coronavirus disease 2019 (COVID-19) pandemic is a major public health problem of international concern. It is important to estimate its impact of COVID-19 for health policy decision-making. We estimated the years of life lost (YLLs) due to COVID-19 in high-incidence countries.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">We collected the YLLs due to COVID-19 in 30 high-incidence countries as of April 13, 2020 and followed up as of July 14, 2020. Incidence and mortality were collected using each country's formal reports, articles, and other electronic sources. The life expectancy of Japanese females by age and the UN population data were used to calculate YLLs in total and per 100,000.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">As of April 22, 2020, there were 1,699,574 YLLs due to COVID-19 in 30 high-incidence countries. On July 14, 2020, this increased to 4,072,325. Both on April 22 and July 14, the total YLLs due to COVID-19 was highest in the USA (April 22, 534,481 YLLs; July 14, 1,199,510 YLLs), and the YLLs per 100,000 population was highest in Belgium (April 22, 868.12 YLLs/100,000; July 14, 1,593.72 YLLs/100,000). YLLs due to COVID-19 were higher among males than among females and higher in those aged ≥ 60 years than in younger individuals. Belgium had the highest proportion of YLLs attributable to COVID-19 as a proportion of the total YLLs and the highest disability-adjusted life years per 100,000 population.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">This study estimated YLLs due to COVID-19 in 30 countries. COVID-19 is a high burden in the USA and Belgium, among males and the elderly. The YLLs are very closely related with the incidence as well as the mortality. This highlights the importance of the early detection of incident case that minimizes severe acute respiratory syndrome coronavirus-2 fatality.</AbstractText>
<CopyrightInformation>© 2020 The Korean Academy of Medical Sciences.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y" EqualContrib="Y">
<LastName>Oh</LastName>
<ForeName>In Hwan</ForeName>
<Initials>IH</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0002-5450-9887</Identifier>
<AffiliationInfo>
<Affiliation>Department of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul, Korea.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y" EqualContrib="Y">
<LastName>Ock</LastName>
<ForeName>Minsu</ForeName>
<Initials>M</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0001-9949-9224</Identifier>
<AffiliationInfo>
<Affiliation>Department of Preventive Medicine, University of Ulsan College of Medicine, Seoul, Korea.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Department of Preventive Medicine, Ulsan University Hospital, Ulsan, Korea.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Jang</LastName>
<ForeName>Su Yeon</ForeName>
<Initials>SY</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0001-7545-3168</Identifier>
<AffiliationInfo>
<Affiliation>Department of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul, Korea.</Affiliation>
</AffiliationInfo>
</Author>
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<LastName>Go</LastName>
<ForeName>Dun Sol</ForeName>
<Initials>DS</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0002-9025-7760</Identifier>
<AffiliationInfo>
<Affiliation>Department of Health Care Policy Research, Korea Institute for Health and Social Affairs, Sejong, Korea.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Kim</LastName>
<ForeName>Young Eun</ForeName>
<Initials>YE</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0003-0694-6844</Identifier>
<AffiliationInfo>
<Affiliation>Big Data Department, National Health Insurance Service, Wonju, Korea.</Affiliation>
</AffiliationInfo>
</Author>
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<LastName>Jung</LastName>
<ForeName>Yoon Sun</ForeName>
<Initials>YS</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0002-9379-4908</Identifier>
<AffiliationInfo>
<Affiliation>Department of Public Health, Graduate School, Korea University, Seoul, Korea.</Affiliation>
</AffiliationInfo>
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<LastName>Kim</LastName>
<ForeName>Ki Beom</ForeName>
<Initials>KB</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0001-7613-0125</Identifier>
<AffiliationInfo>
<Affiliation>Department of Public Health, Graduate School, Korea University, Seoul, Korea.</Affiliation>
</AffiliationInfo>
</Author>
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<LastName>Park</LastName>
<ForeName>Hyesook</ForeName>
<Initials>H</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0002-9359-6522</Identifier>
<AffiliationInfo>
<Affiliation>Department of Preventive Medicine, Ewha Womans University School of Medicine, Seoul, Korea.</Affiliation>
</AffiliationInfo>
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<LastName>Jo</LastName>
<ForeName>Min Woo</ForeName>
<Initials>MW</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0002-4574-1318</Identifier>
<AffiliationInfo>
<Affiliation>Department of Preventive Medicine, University of Ulsan College of Medicine, Seoul, Korea. mdjominwoo@gmail.com.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y">
<LastName>Yoon</LastName>
<ForeName>Seok Jun</ForeName>
<Initials>SJ</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0003-3297-0071</Identifier>
<AffiliationInfo>
<Affiliation>Department of Preventive Medicine, Korea University College of Medicine, Seoul, Korea. yoonsj02@korea.ac.kr.</Affiliation>
</AffiliationInfo>
</Author>
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<Language>eng</Language>
<GrantList CompleteYN="Y">
<Grant>
<GrantID>HI18C0446</GrantID>
<Agency>Korea Health Industry Development Institute</Agency>
<Country>Republic of Korea</Country>
</Grant>
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<PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic">
<Year>2020</Year>
<Month>08</Month>
<Day>17</Day>
</ArticleDate>
</Article>
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<Country>Korea (South)</Country>
<MedlineTA>J Korean Med Sci</MedlineTA>
<NlmUniqueID>8703518</NlmUniqueID>
<ISSNLinking>1011-8934</ISSNLinking>
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<SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName>
<SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName>
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<MeshHeading>
<DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000073640" MajorTopicYN="Y">Betacoronavirus</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName>
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<MeshHeading>
<DescriptorName UI="D017281" MajorTopicYN="N">Cost of Illness</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D015994" MajorTopicYN="N">Incidence</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D007223" MajorTopicYN="N">Infant</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D007231" MajorTopicYN="N">Infant, Newborn</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
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<DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName>
</MeshHeading>
</MeshHeadingList>
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<Keyword MajorTopicYN="N">Burden of Disease</Keyword>
<Keyword MajorTopicYN="N">COVID-19</Keyword>
<Keyword MajorTopicYN="N">Disability-Adjusted Life Years</Keyword>
<Keyword MajorTopicYN="N">SARS-CoV-2</Keyword>
<Keyword MajorTopicYN="N">Years of Life Lost</Keyword>
</KeywordList>
<CoiStatement>The authors have no potential conflicts of interest to disclose.</CoiStatement>
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