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<modsCollection xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mods><titleInfo><title>Estimating Chikungunya prevalence in La Réunion Island outbreak by serosurveys : two methods for two critical times of the epidemic</title></titleInfo><name type="personal"><namePart type="family">Gérardin</namePart><namePart type="given">P.</namePart><role><roleTerm type="text">auteur</roleTerm><roleTerm type="code" authority="marcrelator">aut</roleTerm></role></name><name type="personal"><namePart type="family">Guernier</namePart><namePart type="given">V.</namePart><role><roleTerm type="text">auteur</roleTerm><roleTerm type="code" authority="marcrelator">aut</roleTerm></role></name><name type="personal"><namePart type="family">Perrau</namePart><namePart type="given">J.</namePart><role><roleTerm type="text">auteur</roleTerm><roleTerm type="code" authority="marcrelator">aut</roleTerm></role></name><name type="personal"><namePart type="family">Fianu</namePart><namePart type="given">A.</namePart><role><roleTerm type="text">auteur</roleTerm><roleTerm type="code" authority="marcrelator">aut</roleTerm></role></name><name type="personal"><namePart type="family">Le Roux</namePart><namePart type="given">K.</namePart><role><roleTerm type="text">auteur</roleTerm><roleTerm type="code" authority="marcrelator">aut</roleTerm></role></name><name type="personal"><namePart type="family">Grivard</namePart><namePart type="given">P.</namePart><role><roleTerm type="text">auteur</roleTerm><roleTerm type="code" authority="marcrelator">aut</roleTerm></role></name><name type="personal"><namePart type="family">Michault</namePart><namePart type="given">A.</namePart><role><roleTerm type="text">auteur</roleTerm><roleTerm type="code" authority="marcrelator">aut</roleTerm></role></name><name type="personal"><namePart type="family">Lamballerie de</namePart><namePart type="given">Xavier</namePart><role><roleTerm type="text">auteur</roleTerm><roleTerm type="code" authority="marcrelator">aut</roleTerm></role><affiliation>IRD</affiliation></name><name type="personal"><namePart type="family">Flahault</namePart><namePart type="given">A.</namePart><role><roleTerm type="text">auteur</roleTerm><roleTerm type="code" authority="marcrelator">aut</roleTerm></role></name><name type="personal"><namePart type="family">Favier</namePart><namePart type="given">F.</namePart><role><roleTerm type="text">auteur</roleTerm><roleTerm type="code" authority="marcrelator">aut</roleTerm></role></name><typeOfResource>text</typeOfResource><genre authority="local">journalArticle</genre><physicalDescription><internetMediaType>text/pdf</internetMediaType><digitalOrigin>born digital</digitalOrigin><reformattingQuality>access</reformattingQuality></physicalDescription><abstract>Background: Chikungunya virus (CHIKV) caused a major two-wave seventeen-month-long outbreak in La Reunion Island in 2005-2006. The aim of this study was to refine clinical estimates provided by a regional surveillance-system using a two-stage serological assessment as gold standard. Methods: Two serosurveys were implemented: first, a rapid survey using stored sera of pregnant women, in order to assess the attack rate at the epidemic upsurge (s1, February 2006; n = 888); second, a population-based survey among a random sample of the community, to assess the herd immunity in the post-epidemic era (s2, October 2006; n = 2442). Sera were screened for anti-CHIKV specific antibodies (IgM and IgG in s1, IgG only in s2) using enzyme-linked immunosorbent assays. Seroprevalence rates were compared to clinical estimates of attack rates. Results: In s1, 18.2% of the pregnant women were tested positive for CHIKV specific antibodies (13.8% for both IgM and IgG, 4.3% for IgM, 0.1% for IgG only) which provided a congruent estimate with the 16.5% attack rate calculated from the surveillance-system. In s2, the seroprevalence in community was estimated to 38.2% (95% CI, 35.9 to 40.6%). Extrapolations of seroprevalence rates led to estimate, at 143,000 and at 300,000 (95% CI, 283,000 to 320,000), the number of people infected in s1 and in s2, respectively. In comparison, the surveillance-system estimated at 130,000 and 266,000 the number of people infected for the same periods. Conclusion: A rapid serosurvey in pregnant women can be helpful to assess the attack rate when large seroprevalence studies cannot be done. On the other hand, a population-based serosurvey is useful to refine the estimate when clinical diagnosis underestimates it. Our findings give valuable insights to assess the herd immunity along the course of epidemics.</abstract><targetAudience authority="marctarget">specialized</targetAudience><classification authority="local">052 </classification><relatedItem type="host"><titleInfo><title>Bmc Infectious Diseases</title></titleInfo><part><detail type="volume"><number>8</number></detail><extent unit="pages"><list>p. 99</list></extent></part><originInfo><dateIssued>2008</dateIssued></originInfo><identifier type="issn">1471-2334</identifier></relatedItem><identifier type="uri">http://www.documentation.ird.fr/hor/fdi:010048276</identifier><identifier type="doi">10.1186/1471-2334-8-99</identifier><location><physicalLocation>IRD Bondy</physicalLocation><shelfLocator>F B010048276</shelfLocator><url usage="primary display" access="object in context">http://www.documentation.ird.fr/hor/fdi:010048276</url><url access="raw object">http://www.documentation.ird.fr/intranet/publi/2009/compl2/010048276.pdf</url></location><accessCondition type="restriction on access" displayLabel="Accès réservé">Accès réservé (Intranet de l'IRD)</accessCondition><recordInfo><recordContentSource>IRD - Base Horizon / Pleins textes</recordContentSource><recordCreationDate encoding="w3cdtf">2009-11-25</recordCreationDate><recordChangeDate encoding="w3cdtf">2010-05-19</recordChangeDate><recordIdentifier>fdi:010048276</recordIdentifier><languageOfCataloging><languageTerm authority="iso639-2b">fre</languageTerm></languageOfCataloging></recordInfo></mods></modsCollection>
