Association between Rift Valley fever virus seroprevalences in livestock and humans and their respective intra-cluster correlation coefficients, Tana River County, Kenya

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cg.authorship.typesCGIAR and developing country instituteen
cg.authorship.typesCGIAR and advanced research instituteen
cg.contributor.affiliationInternational Livestock Research Instituteen
cg.contributor.affiliationUppsala Universityen
cg.contributor.affiliationSwedish University of Agricultural Sciencesen
cg.contributor.affiliationMinistry of Agriculture, Livestock, and Fisheries, Kenyaen
cg.contributor.affiliationUniversity of Nairobien
cg.contributor.affiliationKenyatta National Hospitalen
cg.contributor.affiliationWashington State Universityen
cg.contributor.affiliationUniversity of Oxforden
cg.contributor.affiliationKenya Medical Research Instituteen
cg.contributor.crpAgriculture for Nutrition and Health
cg.contributor.donorDepartment for International Development, United Kingdomen
cg.contributor.donorEconomic and Social Research Council, United Kingdomen
cg.contributor.donorNatural Environment Research Council, United Kingdomen
cg.coverage.countryKenya
cg.coverage.iso3166-alpha2KE
cg.coverage.regionAfrica
cg.coverage.regionEastern Africa
cg.creator.identifierBernard Bett: 0000-0001-9376-2941en
cg.creator.identifierJohanna Lindahl: 0000-0002-1175-0398en
cg.creator.identifierDelia Grace: 0000-0002-0195-9489en
cg.creator.identifierMartin Wainaina: 0000-0002-4938-2543en
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.1017/s0950268818003242en
cg.isijournalISI Journalen
cg.issn0950-2688en
cg.journalEpidemiology and Infectionen
cg.reviewStatusPeer Reviewen
cg.subject.ilriANIMAL DISEASESen
cg.subject.ilriHEALTHen
cg.subject.ilriLIVESTOCKen
cg.subject.ilriRVFen
cg.subject.ilriZOONOTIC DISEASESen
cg.volume147en
dc.contributor.authorBett, Bernard K.en
dc.contributor.authorLindahl, Johanna F.en
dc.contributor.authorSang, R.en
dc.contributor.authorWainaina, M.en
dc.contributor.authorKairu-Wanyoike, S.en
dc.contributor.authorBukachi, S.en
dc.contributor.authorNjeru, I.en
dc.contributor.authorKaranja, J.en
dc.contributor.authorOntiri, E.en
dc.contributor.authorNjenga, M.K.en
dc.contributor.authorWright, D.en
dc.contributor.authorWarimwe, G.M.en
dc.contributor.authorGrace, Deliaen
dc.date.accessioned2018-12-12T07:10:10Zen
dc.date.available2018-12-12T07:10:10Zen
dc.identifier.urihttps://hdl.handle.net/10568/98541
dc.titleAssociation between Rift Valley fever virus seroprevalences in livestock and humans and their respective intra-cluster correlation coefficients, Tana River County, Kenyaen
dcterms.abstractWe implemented a cross-sectional study in Tana River County, Kenya, a Rift Valley fever (RVF)-endemic area, to quantify the strength of association between RVF virus (RVFv) seroprevalences in livestock and humans, and their respective intra-cluster correlation coefficients (ICCs). The study involved 1932 livestock from 152 households and 552 humans from 170 households. Serum samples were collected and screened for anti-RVFv immunoglobulin G (IgG) antibodies using inhibition IgG enzyme-linked immunosorbent assay (ELISA). Data collected were analysed using generalised linear mixed effects models, with herd/household and village being fitted as random variables. The overall RVFv seroprevalences in livestock and humans were 25.41% (95% confidence interval (CI) 23.49–27.42%) and 21.20% (17.86–24.85%), respectively. The presence of at least one seropositive animal in a household was associated with an increased odds of exposure in people of 2.23 (95% CI 1.03–4.84). The ICCs associated with RVF virus seroprevalence in livestock were 0.30 (95% CI 0.19–0.44) and 0.22 (95% CI 0.12–0.38) within and between herds, respectively. These findings suggest that there is a greater variability of RVF virus exposure between than within herds. We discuss ways of using these ICC estimates in observational surveys for RVF in endemic areas and postulate that the design of the sentinel herd surveillance should consider patterns of RVF clustering to enhance its effectiveness as an early warning system for RVF epidemics.en
dcterms.accessRightsOpen Access
dcterms.audienceScientistsen
dcterms.available2018-12-05en
dcterms.bibliographicCitationBett, B., Lindahl, J., Sang, R., Wainaina, M., Kairu-Wanyoike, S., Bukachi, S., Njeru, I., Karanja, J., Ontiri, E., Njenga, M.K., Wright, D., Warimwe, G.M. and Grace, D. 2018. Association between Rift Valley fever virus seroprevalences in livestock and humans and their respective intra-cluster correlation coefficients, Tana River County, Kenya. Epidemiology and Infectionen
dcterms.issued2019en
dcterms.languageen
dcterms.licenseCC-BY-NC-SA-4.0
dcterms.publisherCambridge University Pressen
dcterms.subjectanimal diseasesen
dcterms.subjectlivestocken
dcterms.subjectrift valley fever virusen
dcterms.subjecthealthen
dcterms.subjectzoonosesen
dcterms.subjectinfectious diseasesen
dcterms.subjectepidemiologyen
dcterms.typeJournal Article

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