Seroprevalence of IgG antibodies to SARS-coronavirus in asymptomatic or subclinical population groups
Identifieur interne : 001653 ( Pmc/Curation ); précédent : 001652; suivant : 001654Seroprevalence 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.
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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<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>
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<alt-title alt-title-type="left-running">G. M. Leung and others</alt-title>
<alt-title alt-title-type="right-running">Seroprevalence of IgG antibodies to SARS-coronavirus</alt-title>
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<contrib-group><contrib contrib-type="author"><name><surname>LEUNG</surname>
<given-names>G. M.</given-names>
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<xref ref-type="aff" rid="aff001">1</xref>
<xref ref-type="aff" rid="aff002">2</xref>
<xref ref-type="corresp" rid="cor001">*</xref>
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<given-names>W. W.</given-names>
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<given-names>L.-M.</given-names>
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<xref ref-type="aff" rid="aff004">4</xref>
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<contrib contrib-type="author"><name><surname>DONNELLY</surname>
<given-names>C. A.</given-names>
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<given-names>C.</given-names>
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<aff id="aff001"><label>1</label>
Department of Community Medicine, University of Hong Kong, Pokfulam, Hong Kong, China</aff>
<aff id="aff002"><label>2</label>
Takemi Program, Harvard School of Public Health, Boston, MA, USA</aff>
<aff id="aff003"><label>3</label>
Government Virus Unit, Public Health Laboratory Centre, Shek Kip Mei, Kowloon, Hong Kong, China</aff>
<aff id="aff004"><label>4</label>
Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College, University of London, St Mary’s Campus, Norfolk Place, London, UK</aff>
<author-notes><corresp id="cor001"><label>*</label>
Author for correspondence: Dr G. M. Leung, Department of Community Medicine, Faculty of Medicine, University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong, China. (Email: <email xlink:href="gmleung@hkucc.hk">gmleung@hkucc.hk</email>
)</corresp>
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<pub-date pub-type="ppub"><month>4</month>
<year>2006</year>
</pub-date>
<pub-date pub-type="epub"><day>22</day>
<month>7</month>
<year>2005</year>
</pub-date>
<volume>134</volume>
<issue>2</issue>
<fpage>211</fpage>
<lpage>221</lpage>
<history><date date-type="accepted"><day>21</day>
<month>4</month>
<year>2005</year>
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<copyright-statement>© Cambridge University Press 2005</copyright-statement>
<copyright-year>2005</copyright-year>
<self-uri xlink:title="pdf" xlink:type="simple" xlink:href="S0950268805004826a.pdf"></self-uri>
<abstract abstract-type="normal"><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>
</abstract>
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