Measuring vaccine efficacy from epidemics of acute infectious agents
Identifieur interne : 001162 ( Istex/Corpus ); précédent : 001161; suivant : 001163Measuring vaccine efficacy from epidemics of acute infectious agents
Auteurs : Ira M. Longini Jr. ; M. Elizabeth Halloran ; Michael Haber ; Robert T. ChenSource :
- Statistics in Medicine [ 0277-6715 ] ; 1993-02.
Abstract
A good measure of field vaccine efficacy should evaluate the direct protective effect of vaccination on the person who receives the vaccine. The conventional estimator for vaccine efficacy depends on population level factors that are either unrelated or indirectly related to the direct biological action of the vaccine on persons, including population structure, duration of the study, the fraction vaccinated, and herd immunity, that is, indirect effects. Indirect effects can cause the conventional vaccine efficacy estimator to be inaccurate. We review alternative vaccine efficacy estimators that control for indirect effects at the population level. Thus, they are more accurate than the conventional estimator. We use epidemic simulations to explore the robustness of the conventional and proposed estimators under different field conditions. In addition, we apply the different vaccine efficacy estimators to data from a measles epidemic in Muyinga, Burundi.
Url:
DOI: 10.1002/sim.4780120309
Links to Exploration step
ISTEX:DA5EAD1DD756B8099602D0890399F13184B80090Le document en format XML
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Elizabeth</givenNames><familyName>Halloran</familyName></personName></creator><creator xml:id="au3" creatorRole="author" affiliationRef="#af1"><personName><givenNames>Michael</givenNames><familyName>Haber</familyName></personName></creator><creator xml:id="au4" creatorRole="author" affiliationRef="#af2"><personName><givenNames>Robert T.</givenNames><familyName>Chen</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="af1" countryCode="US" type="organization"><unparsedAffiliation>Division of Biostatistics, School of Public Health, Emory University, Atlanta, GA 30322, U.S.A.</unparsedAffiliation></affiliation><affiliation xml:id="af2" countryCode="US" type="organization"><unparsedAffiliation>Division of Immunization, Centers for Disease Control, Atlanta, GA 30333, U.S.A.</unparsedAffiliation></affiliation></affiliationGroup><fundingInfo><fundingAgency>Division of Immunization, U.S. Centers for Disease Control</fundingAgency></fundingInfo><fundingInfo><fundingAgency>NIH</fundingAgency><fundingNumber>1‐R29‐AI31057‐01</fundingNumber><fundingNumber>1‐R01‐AI32042‐01</fundingNumber></fundingInfo><abstractGroup><abstract type="main" xml:lang="en"><title type="main">Abstract</title><p>A good measure of field vaccine efficacy should evaluate the direct protective effect of vaccination on the person who receives the vaccine. The conventional estimator for vaccine efficacy depends on population level factors that are either unrelated or indirectly related to the direct biological action of the vaccine on persons, including population structure, duration of the study, the fraction vaccinated, and herd immunity, that is, indirect effects. Indirect effects can cause the conventional vaccine efficacy estimator to be inaccurate. We review alternative vaccine efficacy estimators that control for indirect effects at the population level. Thus, they are more accurate than the conventional estimator. We use epidemic simulations to explore the robustness of the conventional and proposed estimators under different field conditions. In addition, we apply the different vaccine efficacy estimators to data from a measles epidemic in Muyinga, Burundi.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Measuring vaccine efficacy from epidemics of acute infectious agents</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>MEASURING VACCINE EFFICACY FROM EPIDEMICS</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Measuring vaccine efficacy from epidemics of acute infectious agents</title></titleInfo><name type="personal"><namePart type="given">Ira M.</namePart><namePart type="family">Longini Jr.</namePart><affiliation>Division of Biostatistics, School of Public Health, Emory University, Atlanta, GA 30322, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">M. Elizabeth</namePart><namePart type="family">Halloran</namePart><affiliation>Division of Biostatistics, School of Public Health, Emory University, Atlanta, GA 30322, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Michael</namePart><namePart type="family">Haber</namePart><affiliation>Division of Biostatistics, School of Public Health, Emory University, Atlanta, GA 30322, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Robert T.</namePart><namePart type="family">Chen</namePart><affiliation>Division of Immunization, Centers for Disease Control, Atlanta, GA 30333, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article" authority="ISTEX" authorityURI="https://content-type.data.istex.fr" valueURI="https://content-type.data.istex.fr/ark:/67375/XTP-6N5SZHKN-D">article</genre><originInfo><publisher>Wiley Subscription Services, Inc., A Wiley Company</publisher><place><placeTerm type="text">Chichester</placeTerm></place><dateIssued encoding="w3cdtf">1993-02</dateIssued><copyrightDate encoding="w3cdtf">1993</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><extent unit="figures">0</extent><extent unit="tables">4</extent><extent unit="references">35</extent></physicalDescription><abstract lang="en">A good measure of field vaccine efficacy should evaluate the direct protective effect of vaccination on the person who receives the vaccine. The conventional estimator for vaccine efficacy depends on population level factors that are either unrelated or indirectly related to the direct biological action of the vaccine on persons, including population structure, duration of the study, the fraction vaccinated, and herd immunity, that is, indirect effects. Indirect effects can cause the conventional vaccine efficacy estimator to be inaccurate. We review alternative vaccine efficacy estimators that control for indirect effects at the population level. Thus, they are more accurate than the conventional estimator. We use epidemic simulations to explore the robustness of the conventional and proposed estimators under different field conditions. 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