Seroprevalence of IgG antibodies to SARS-coronavirus in asymptomatic or subclinical population groups
Identifieur interne : 001385 ( Ncbi/Merge ); précédent : 001384; suivant : 001386Seroprevalence of IgG antibodies to SARS-coronavirus in asymptomatic or subclinical population groups
Auteurs : G. M. Leung [République populaire de Chine, États-Unis] ; W. W. Lim [République populaire de Chine] ; L.-M. Ho [République populaire de Chine] ; T.-H. Lam [République populaire de Chine] ; A. C. Ghani [Royaume-Uni] ; C. A. Donnelly [Royaume-Uni] ; C. Fraser [Royaume-Uni] ; S. Riley [Royaume-Uni] ; N. M. Ferguson [Royaume-Uni] ; R. M. Anderson [Royaume-Uni] ; A. J. Hedley [République populaire de Chine]Source :
- Epidemiology and Infection [ 0950-2688 ] ; 2005.
Descripteurs français
- KwdFr :
- MESH :
- analyse : Immunoglobuline G.
- immunologie : Syndrome respiratoire aigu sévère, Virus du SRAS.
- pathogénicité : Virus du SRAS.
- Donneurs de sang, Géographie, Humains, Personnel de santé, Production d'anticorps, Études séroépidémiologiques.
English descriptors
- KwdEn :
- MESH :
- chemical , analysis : Immunoglobulin G.
- immunology : SARS Virus, Severe Acute Respiratory Syndrome.
- pathogenicity : SARS Virus.
- Antibody Formation, Blood Donors, Geography, Health Personnel, Humans, Seroepidemiologic Studies.
Abstract
We systematically reviewed the current understanding of human population immunity against SARS-CoV in different groups, settings and geography. Our meta-analysis, which included all identified studies except those on wild animal handlers, yielded an overall seroprevalence of 0·10% [95% confidence interval (CI) 0·02–0·18]. Health-care workers and others who had close contact with SARS patients had a slightly higher degree of seroconversion (0·23%, 95% CI 0·02–0·45) compared to healthy blood donors, others from the general community or non-SARS patients recruited from the health-care setting (0·16%, 95% CI 0–0·37). When analysed by the two broad classes of testing procedures, it is clear that serial confirmatory test protocols resulted in a much lower estimate (0·050%, 95% CI 0–0·15) than single test protocols (0·20%, 95% CI 0·06–0·34). Potential epidemiological and laboratory pitfalls are also discussed as they may give rise to false or inconsistent results in measuring the seroprevalence of IgG antibodies to SARS-CoV.
Url:
DOI: 10.1017/S0950268805004826
PubMed: 16490123
PubMed Central: 2870380
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PMC:2870380Le document en format XML
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<term>Blood Donors</term>
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<term>Health Personnel</term>
<term>Humans</term>
<term>Immunoglobulin G (analysis)</term>
<term>SARS Virus (immunology)</term>
<term>SARS Virus (pathogenicity)</term>
<term>Seroepidemiologic Studies</term>
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<term>Personnel de santé</term>
<term>Production d'anticorps</term>
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<front><div type="abstract" xml:lang="en"><title>SUMMARY</title>
<p>We systematically reviewed the current understanding of human population immunity against SARS-CoV in different groups, settings and geography. Our meta-analysis, which included all identified studies except those on wild animal handlers, yielded an overall seroprevalence of 0·10% [95% confidence interval (CI) 0·02–0·18]. Health-care workers and others who had close contact with SARS patients had a slightly higher degree of seroconversion (0·23%, 95% CI 0·02–0·45) compared to healthy blood donors, others from the general community or non-SARS patients recruited from the health-care setting (0·16%, 95% CI 0–0·37). When analysed by the two broad classes of testing procedures, it is clear that serial confirmatory test protocols resulted in a much lower estimate (0·050%, 95% CI 0–0·15) than single test protocols (0·20%, 95% CI 0·06–0·34). Potential epidemiological and laboratory pitfalls are also discussed as they may give rise to false or inconsistent results in measuring the seroprevalence of IgG antibodies to SARS-CoV.</p>
</div>
</front>
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<wicri:regionArea>Department of Community Medicine, University of Hong Kong, Pokfulam, Hong Kong</wicri:regionArea>
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<author><name sortKey="Riley, S" sort="Riley, S" uniqKey="Riley S" first="S." last="Riley">S. Riley</name>
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<author><name sortKey="Ferguson, N M" sort="Ferguson, N M" uniqKey="Ferguson N" first="N. M." last="Ferguson">N. M. Ferguson</name>
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<region type="région" nuts="1">Grand Londres</region>
</placeName>
<orgName type="university">Université de Londres</orgName>
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<author><name sortKey="Hedley, A J" sort="Hedley, A J" uniqKey="Hedley A" first="A. J." last="Hedley">A. J. Hedley</name>
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<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Community Medicine, University of Hong Kong, Pokfulam, Hong Kong</wicri:regionArea>
<wicri:noRegion>Hong Kong</wicri:noRegion>
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</author>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Seroprevalence of IgG antibodies to SARS-coronavirus in asymptomatic or subclinical population groups</title>
<author><name sortKey="Leung, G M" sort="Leung, G M" uniqKey="Leung G" first="G. M." last="Leung">G. M. Leung</name>
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<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Community Medicine, University of Hong Kong, Pokfulam, Hong Kong</wicri:regionArea>
<wicri:noRegion>Hong Kong</wicri:noRegion>
</affiliation>
<affiliation wicri:level="2"><nlm:aff id="aff002">Takemi Program, Harvard School of Public Health, Boston, MA, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Takemi Program, Harvard School of Public Health, Boston, MA</wicri:regionArea>
<placeName><region type="state">Massachusetts</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Lim, W W" sort="Lim, W W" uniqKey="Lim W" first="W. W." last="Lim">W. W. Lim</name>
<affiliation wicri:level="1"><nlm:aff id="aff003">Government Virus Unit, Public Health Laboratory Centre, Shek Kip Mei, Kowloon, Hong Kong, China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Government Virus Unit, Public Health Laboratory Centre, Shek Kip Mei, Kowloon, Hong Kong</wicri:regionArea>
<wicri:noRegion>Hong Kong</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Ho, L M" sort="Ho, L M" uniqKey="Ho L" first="L.-M." last="Ho">L.-M. Ho</name>
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<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Community Medicine, University of Hong Kong, Pokfulam, Hong Kong</wicri:regionArea>
<wicri:noRegion>Hong Kong</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Lam, T H" sort="Lam, T H" uniqKey="Lam T" first="T.-H." last="Lam">T.-H. Lam</name>
<affiliation wicri:level="1"><nlm:aff id="aff001">Department of Community Medicine, University of Hong Kong, Pokfulam, Hong Kong, China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Community Medicine, University of Hong Kong, Pokfulam, Hong Kong</wicri:regionArea>
<wicri:noRegion>Hong Kong</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Ghani, A C" sort="Ghani, A C" uniqKey="Ghani A" first="A. C." last="Ghani">A. C. Ghani</name>
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<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College, University of London, St Mary’s Campus, Norfolk Place, London</wicri:regionArea>
<placeName><settlement type="city">Londres</settlement>
<region type="country">Angleterre</region>
<region type="région" nuts="1">Grand Londres</region>
</placeName>
<orgName type="university">Université de Londres</orgName>
</affiliation>
</author>
<author><name sortKey="Donnelly, C A" sort="Donnelly, C A" uniqKey="Donnelly C" first="C. A." last="Donnelly">C. A. Donnelly</name>
<affiliation wicri:level="4"><nlm:aff id="aff004">Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College, University of London, St Mary’s Campus, Norfolk Place, London, UK</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College, University of London, St Mary’s Campus, Norfolk Place, London</wicri:regionArea>
<placeName><settlement type="city">Londres</settlement>
<region type="country">Angleterre</region>
<region type="région" nuts="1">Grand Londres</region>
</placeName>
<orgName type="university">Université de Londres</orgName>
</affiliation>
</author>
<author><name sortKey="Fraser, C" sort="Fraser, C" uniqKey="Fraser C" first="C." last="Fraser">C. Fraser</name>
<affiliation wicri:level="4"><nlm:aff id="aff004">Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College, University of London, St Mary’s Campus, Norfolk Place, London, UK</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College, University of London, St Mary’s Campus, Norfolk Place, London</wicri:regionArea>
<placeName><settlement type="city">Londres</settlement>
<region type="country">Angleterre</region>
<region type="région" nuts="1">Grand Londres</region>
</placeName>
<orgName type="university">Université de Londres</orgName>
</affiliation>
</author>
<author><name sortKey="Riley, S" sort="Riley, S" uniqKey="Riley S" first="S." last="Riley">S. Riley</name>
<affiliation wicri:level="4"><nlm:aff id="aff004">Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College, University of London, St Mary’s Campus, Norfolk Place, London, UK</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College, University of London, St Mary’s Campus, Norfolk Place, London</wicri:regionArea>
<placeName><settlement type="city">Londres</settlement>
<region type="country">Angleterre</region>
<region type="région" nuts="1">Grand Londres</region>
</placeName>
<orgName type="university">Université de Londres</orgName>
</affiliation>
</author>
<author><name sortKey="Ferguson, N M" sort="Ferguson, N M" uniqKey="Ferguson N" first="N. M." last="Ferguson">N. M. Ferguson</name>
<affiliation wicri:level="4"><nlm:aff id="aff004">Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College, University of London, St Mary’s Campus, Norfolk Place, London, UK</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College, University of London, St Mary’s Campus, Norfolk Place, London</wicri:regionArea>
<placeName><settlement type="city">Londres</settlement>
<region type="country">Angleterre</region>
<region type="région" nuts="1">Grand Londres</region>
</placeName>
<orgName type="university">Université de Londres</orgName>
</affiliation>
</author>
<author><name sortKey="Anderson, R M" sort="Anderson, R M" uniqKey="Anderson R" first="R. M." last="Anderson">R. M. Anderson</name>
<affiliation wicri:level="4"><nlm:aff id="aff004">Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College, University of London, St Mary’s Campus, Norfolk Place, London, UK</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College, University of London, St Mary’s Campus, Norfolk Place, London</wicri:regionArea>
<placeName><settlement type="city">Londres</settlement>
<region type="country">Angleterre</region>
<region type="région" nuts="1">Grand Londres</region>
</placeName>
<orgName type="university">Université de Londres</orgName>
</affiliation>
</author>
<author><name sortKey="Hedley, A J" sort="Hedley, A J" uniqKey="Hedley A" first="A. J." last="Hedley">A. J. Hedley</name>
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<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Community Medicine, University of Hong Kong, Pokfulam, Hong Kong</wicri:regionArea>
<wicri:noRegion>Hong Kong</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series><title level="j">Epidemiology and Infection</title>
<idno type="ISSN">0950-2688</idno>
<idno type="eISSN">1469-4409</idno>
<imprint><date when="2005">2005</date>
</imprint>
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</teiHeader>
<front><div type="abstract" xml:lang="en"><title>SUMMARY</title>
<p>We systematically reviewed the current understanding of human population immunity against SARS-CoV in different groups, settings and geography. Our meta-analysis, which included all identified studies except those on wild animal handlers, yielded an overall seroprevalence of 0·10% [95% confidence interval (CI) 0·02–0·18]. Health-care workers and others who had close contact with SARS patients had a slightly higher degree of seroconversion (0·23%, 95% CI 0·02–0·45) compared to healthy blood donors, others from the general community or non-SARS patients recruited from the health-care setting (0·16%, 95% CI 0–0·37). When analysed by the two broad classes of testing procedures, it is clear that serial confirmatory test protocols resulted in a much lower estimate (0·050%, 95% CI 0–0·15) than single test protocols (0·20%, 95% CI 0·06–0·34). Potential epidemiological and laboratory pitfalls are also discussed as they may give rise to false or inconsistent results in measuring the seroprevalence of IgG antibodies to SARS-CoV.</p>
</div>
</front>
</TEI>
</pmc>
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<affiliation wicri:level="2"><nlm:affiliation>Department of Community Medicine, University of Hong Kong, Pokfulam, Hong Kong, ChinaTakemi Program, Harvard School of Public Health, Boston, MA, USA. gmleung@hkucc.hk</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Community Medicine, University of Hong Kong, Pokfulam, Hong Kong, ChinaTakemi Program, Harvard School of Public Health, Boston, MA</wicri:regionArea>
<placeName><region type="state">Massachusetts</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Lim, W W" sort="Lim, W W" uniqKey="Lim W" first="W W" last="Lim">W W Lim</name>
</author>
<author><name sortKey="Ho, L M" sort="Ho, L M" uniqKey="Ho L" first="L-M" last="Ho">L-M Ho</name>
</author>
<author><name sortKey="Lam, T H" sort="Lam, T H" uniqKey="Lam T" first="T-H" last="Lam">T-H Lam</name>
</author>
<author><name sortKey="Ghani, A C" sort="Ghani, A C" uniqKey="Ghani A" first="A C" last="Ghani">A C Ghani</name>
</author>
<author><name sortKey="Donnelly, C A" sort="Donnelly, C A" uniqKey="Donnelly C" first="C A" last="Donnelly">C A Donnelly</name>
</author>
<author><name sortKey="Fraser, C" sort="Fraser, C" uniqKey="Fraser C" first="C" last="Fraser">C. Fraser</name>
</author>
<author><name sortKey="Riley, S" sort="Riley, S" uniqKey="Riley S" first="S" last="Riley">S. Riley</name>
</author>
<author><name sortKey="Ferguson, N M" sort="Ferguson, N M" uniqKey="Ferguson N" first="N M" last="Ferguson">N M Ferguson</name>
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</author>
<author><name sortKey="Hedley, A J" sort="Hedley, A J" uniqKey="Hedley A" first="A J" last="Hedley">A J Hedley</name>
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<author><name sortKey="Leung, G M" sort="Leung, G M" uniqKey="Leung G" first="G M" last="Leung">G M Leung</name>
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</placeName>
</affiliation>
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<author><name sortKey="Lim, W W" sort="Lim, W W" uniqKey="Lim W" first="W W" last="Lim">W W Lim</name>
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<author><name sortKey="Ho, L M" sort="Ho, L M" uniqKey="Ho L" first="L-M" last="Ho">L-M Ho</name>
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<author><name sortKey="Lam, T H" sort="Lam, T H" uniqKey="Lam T" first="T-H" last="Lam">T-H Lam</name>
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<term>Blood Donors</term>
<term>Geography</term>
<term>Health Personnel</term>
<term>Humans</term>
<term>Immunoglobulin G (analysis)</term>
<term>SARS Virus (immunology)</term>
<term>SARS Virus (pathogenicity)</term>
<term>Seroepidemiologic Studies</term>
<term>Severe Acute Respiratory Syndrome (immunology)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Donneurs de sang</term>
<term>Géographie</term>
<term>Humains</term>
<term>Immunoglobuline G (analyse)</term>
<term>Personnel de santé</term>
<term>Production d'anticorps</term>
<term>Syndrome respiratoire aigu sévère (immunologie)</term>
<term>Virus du SRAS (immunologie)</term>
<term>Virus du SRAS (pathogénicité)</term>
<term>Études séroépidémiologiques</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Immunoglobulin G</term>
</keywords>
<keywords scheme="MESH" qualifier="analyse" xml:lang="fr"><term>Immunoglobuline G</term>
</keywords>
<keywords scheme="MESH" qualifier="immunologie" xml:lang="fr"><term>Syndrome respiratoire aigu sévère</term>
<term>Virus du SRAS</term>
</keywords>
<keywords scheme="MESH" qualifier="immunology" xml:lang="en"><term>SARS Virus</term>
<term>Severe Acute Respiratory Syndrome</term>
</keywords>
<keywords scheme="MESH" qualifier="pathogenicity" xml:lang="en"><term>SARS Virus</term>
</keywords>
<keywords scheme="MESH" qualifier="pathogénicité" xml:lang="fr"><term>Virus du SRAS</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Antibody Formation</term>
<term>Blood Donors</term>
<term>Geography</term>
<term>Health Personnel</term>
<term>Humans</term>
<term>Seroepidemiologic Studies</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Donneurs de sang</term>
<term>Géographie</term>
<term>Humains</term>
<term>Personnel de santé</term>
<term>Production d'anticorps</term>
<term>Études séroépidémiologiques</term>
</keywords>
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<front><div type="abstract" xml:lang="en">We systematically reviewed the current understanding of human population immunity against SARS-CoV in different groups, settings and geography. Our meta-analysis, which included all identified studies except those on wild animal handlers, yielded an overall seroprevalence of 0.10% [95% confidence interval (CI) 0.02-0.18]. Health-care workers and others who had close contact with SARS patients had a slightly higher degree of seroconversion (0.23%, 95% CI 0.02-0.45) compared to healthy blood donors, others from the general community or non-SARS patients recruited from the health-care setting (0.16%, 95% CI 0-0.37). When analysed by the two broad classes of testing procedures, it is clear that serial confirmatory test protocols resulted in a much lower estimate (0.050%, 95% CI 0-0.15) than single test protocols (0.20%, 95% CI 0.06-0.34). Potential epidemiological and laboratory pitfalls are also discussed as they may give rise to false or inconsistent results in measuring the seroprevalence of IgG antibodies to SARS-CoV.</div>
</front>
</TEI>
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