The household secondary attack rate of SARS-CoV-2: A rapid review.
Identifieur interne : 000209 ( Main/Exploration ); précédent : 000208; suivant : 000210The household secondary attack rate of SARS-CoV-2: A rapid review.
Auteurs : Hannah F. Fung [États-Unis] ; Leonardo Martinez [États-Unis] ; Fernando Alarid-Escudero [Mexique] ; Joshua A. Salomon [États-Unis] ; David M. Studdert [États-Unis] ; Jason R. Andrews [États-Unis] ; Jeremy D. Goldhaber-Fiebert [États-Unis]Source :
- Clinical infectious diseases : an official publication of the Infectious Diseases Society of America [ 1537-6591 ] ; 2020.
Abstract
BACKGROUND
Although much of the public health effort to combat COVID-19 has focused on disease control strategies in public settings, transmission of SARS-CoV-2 within households remains an important problem. The nature and determinants of household transmission are poorly understood.
METHODS
To address this gap, we gathered and analyzed data from 22 published and pre-published studies from 10 countries (20,291 household contacts) that were available through September 2, 2020. Our goal was to combine estimates of the SARS-CoV-2 household secondary attack rate (SAR) and explore variation in estimates of the household SAR.
RESULTS
The overall pooled random-effects estimate of the household SAR was 17.1% (95% CI: 13.7-21.2%). In study-level, random-effects meta-regressions stratified by testing frequency (1 test, 2 tests, >2 tests), SAR estimates were 9.2% (95% CI: 6.7-12.3%), 17.5% (95% CI: 13.9-21.8%), and 21.3% (95% CI: 13.8-31.3%), respectively. Household SAR tended to be higher among older adult contacts and among contacts of symptomatic cases.
CONCLUSIONS
These findings suggest that SAR reported using a single follow-up test may be underestimated and that testing household contacts of COVID-19 cases on multiple occasions may increase the yield for identifying secondary cases.
DOI: 10.1093/cid/ciaa1558
PubMed: 33045075
PubMed Central: PMC7665336
Affiliations:
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Fung</name><affiliation wicri:level="4"><nlm:affiliation>Department of Biology, Stanford University, Stanford, CA, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Biology, Stanford University, Stanford, CA</wicri:regionArea><placeName><region type="state">Californie</region><settlement type="city">Stanford (Californie)</settlement></placeName><orgName type="university">Université Stanford</orgName></affiliation></author><author><name sortKey="Martinez, Leonardo" sort="Martinez, Leonardo" uniqKey="Martinez L" first="Leonardo" last="Martinez">Leonardo Martinez</name><affiliation wicri:level="2"><nlm:affiliation>Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Alarid Escudero, Fernando" sort="Alarid Escudero, Fernando" uniqKey="Alarid Escudero F" first="Fernando" last="Alarid-Escudero">Fernando Alarid-Escudero</name><affiliation wicri:level="1"><nlm:affiliation>Drug Policy Program, Center for Research and Teaching in Economics, Aguascalientes, Ags., Mexico.</nlm:affiliation><country xml:lang="fr">Mexique</country><wicri:regionArea>Drug Policy Program, Center for Research and Teaching in Economics, Aguascalientes, Ags.</wicri:regionArea><wicri:noRegion>Ags.</wicri:noRegion></affiliation></author><author><name sortKey="Salomon, Joshua A" sort="Salomon, Joshua A" uniqKey="Salomon J" first="Joshua A" last="Salomon">Joshua A. Salomon</name><affiliation wicri:level="2"><nlm:affiliation>Stanford University School of Medicine, Stanford University, Stanford, CA, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Stanford University School of Medicine, Stanford University, Stanford, CA</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Studdert, David M" sort="Studdert, David M" uniqKey="Studdert D" first="David M" last="Studdert">David M. 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Goldhaber-Fiebert</name><affiliation wicri:level="2"><nlm:affiliation>Center for Health Policy and the Center for Primary Care and Outcomes Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Center for Health Policy and the Center for Primary Care and Outcomes Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author></analytic><series><title level="j">Clinical infectious diseases : an official publication of the Infectious Diseases Society of America</title><idno type="eISSN">1537-6591</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>Although much of the public health effort to combat COVID-19 has focused on disease control strategies in public settings, transmission of SARS-CoV-2 within households remains an important problem. The nature and determinants of household transmission are poorly understood.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>To address this gap, we gathered and analyzed data from 22 published and pre-published studies from 10 countries (20,291 household contacts) that were available through September 2, 2020. Our goal was to combine estimates of the SARS-CoV-2 household secondary attack rate (SAR) and explore variation in estimates of the household SAR.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>The overall pooled random-effects estimate of the household SAR was 17.1% (95% CI: 13.7-21.2%). In study-level, random-effects meta-regressions stratified by testing frequency (1 test, 2 tests, >2 tests), SAR estimates were 9.2% (95% CI: 6.7-12.3%), 17.5% (95% CI: 13.9-21.8%), and 21.3% (95% CI: 13.8-31.3%), respectively. Household SAR tended to be higher among older adult contacts and among contacts of symptomatic cases.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>These findings suggest that SAR reported using a single follow-up test may be underestimated and that testing household contacts of COVID-19 cases on multiple occasions may increase the yield for identifying secondary cases.</p></div></front></TEI><pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">33045075</PMID><DateRevised><Year>2020</Year><Month>11</Month><Day>17</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1537-6591</ISSN><JournalIssue CitedMedium="Internet"><PubDate><Year>2020</Year><Month>Oct</Month><Day>12</Day></PubDate></JournalIssue><Title>Clinical infectious diseases : an official publication of the Infectious Diseases Society of America</Title><ISOAbbreviation>Clin Infect Dis</ISOAbbreviation></Journal><ArticleTitle>The household secondary attack rate of SARS-CoV-2: A rapid review.</ArticleTitle><ELocationID EIdType="pii" ValidYN="Y">ciaa1558</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1093/cid/ciaa1558</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Although much of the public health effort to combat COVID-19 has focused on disease control strategies in public settings, transmission of SARS-CoV-2 within households remains an important problem. The nature and determinants of household transmission are poorly understood.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">To address this gap, we gathered and analyzed data from 22 published and pre-published studies from 10 countries (20,291 household contacts) that were available through September 2, 2020. Our goal was to combine estimates of the SARS-CoV-2 household secondary attack rate (SAR) and explore variation in estimates of the household SAR.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">The overall pooled random-effects estimate of the household SAR was 17.1% (95% CI: 13.7-21.2%). In study-level, random-effects meta-regressions stratified by testing frequency (1 test, 2 tests, >2 tests), SAR estimates were 9.2% (95% CI: 6.7-12.3%), 17.5% (95% CI: 13.9-21.8%), and 21.3% (95% CI: 13.8-31.3%), respectively. Household SAR tended to be higher among older adult contacts and among contacts of symptomatic cases.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">These findings suggest that SAR reported using a single follow-up test may be underestimated and that testing household contacts of COVID-19 cases on multiple occasions may increase the yield for identifying secondary cases.</AbstractText><CopyrightInformation>© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Fung</LastName><ForeName>Hannah F</ForeName><Initials>HF</Initials><AffiliationInfo><Affiliation>Department of Biology, Stanford University, Stanford, CA, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Martinez</LastName><ForeName>Leonardo</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Alarid-Escudero</LastName><ForeName>Fernando</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Drug Policy Program, Center for Research and Teaching in Economics, Aguascalientes, Ags., Mexico.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Salomon</LastName><ForeName>Joshua A</ForeName><Initials>JA</Initials><AffiliationInfo><Affiliation>Stanford University School of Medicine, Stanford University, Stanford, CA, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Studdert</LastName><ForeName>David M</ForeName><Initials>DM</Initials><AffiliationInfo><Affiliation>Stanford Law School and Stanford Health Policy and the Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Andrews</LastName><ForeName>Jason R</ForeName><Initials>JR</Initials><AffiliationInfo><Affiliation>Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Goldhaber-Fiebert</LastName><ForeName>Jeremy D</ForeName><Initials>JD</Initials><AffiliationInfo><Affiliation>Center for Health Policy and the Center for Primary Care and Outcomes Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><CollectiveName>SC-COSMO Modeling Group</CollectiveName></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>10</Month><Day>12</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Clin Infect Dis</MedlineTA><NlmUniqueID>9203213</NlmUniqueID><ISSNLinking>1058-4838</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">SARS-CoV-2</Keyword><Keyword MajorTopicYN="N">household transmission</Keyword><Keyword MajorTopicYN="N">secondary attack</Keyword><Keyword MajorTopicYN="N">testing frequency</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>09</Month><Day>07</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>10</Month><Day>12</Day><Hour>17</Hour><Minute>10</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>10</Month><Day>13</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>10</Month><Day>13</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>aheadofprint</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">33045075</ArticleId><ArticleId IdType="pii">5921151</ArticleId><ArticleId IdType="doi">10.1093/cid/ciaa1558</ArticleId><ArticleId IdType="pmc">PMC7665336</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Mexique</li><li>États-Unis</li></country><region><li>Californie</li></region><settlement><li>Stanford (Californie)</li></settlement><orgName><li>Université Stanford</li></orgName></list><tree><country name="États-Unis"><region name="Californie"><name sortKey="Fung, Hannah F" sort="Fung, Hannah F" uniqKey="Fung H" first="Hannah F" last="Fung">Hannah F. Fung</name></region><name sortKey="Andrews, Jason R" sort="Andrews, Jason R" uniqKey="Andrews J" first="Jason R" last="Andrews">Jason R. Andrews</name><name sortKey="Goldhaber Fiebert, Jeremy D" sort="Goldhaber Fiebert, Jeremy D" uniqKey="Goldhaber Fiebert J" first="Jeremy D" last="Goldhaber-Fiebert">Jeremy D. Goldhaber-Fiebert</name><name sortKey="Martinez, Leonardo" sort="Martinez, Leonardo" uniqKey="Martinez L" first="Leonardo" last="Martinez">Leonardo Martinez</name><name sortKey="Salomon, Joshua A" sort="Salomon, Joshua A" uniqKey="Salomon J" first="Joshua A" last="Salomon">Joshua A. Salomon</name><name sortKey="Studdert, David M" sort="Studdert, David M" uniqKey="Studdert D" first="David M" last="Studdert">David M. Studdert</name></country><country name="Mexique"><noRegion><name sortKey="Alarid Escudero, Fernando" sort="Alarid Escudero, Fernando" uniqKey="Alarid Escudero F" first="Fernando" last="Alarid-Escudero">Fernando Alarid-Escudero</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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