Households or hotspots? Defining intervention targets for malaria elimination in Ratanakiri Province, eastern Cambodia

dc.contributor.authorBannister-Tyrrell, Melanie
dc.contributor.authorKrit, Meryam
dc.contributor.authorSluydts, Vincent
dc.contributor.authorTho, Sochantha
dc.contributor.authorSokny, Mao
dc.contributor.authorMean, Vanna
dc.contributor.authorKim, Saorin
dc.contributor.authorMénard, Didier
dc.contributor.authorGrietens, Koen Peeters
dc.contributor.authorAbrams, Steven
dc.contributor.authorHens, Niel
dc.contributor.authorCoosemans, Marc
dc.contributor.authorBassat Orellana, Quique
dc.contributor.authorBoele van Hensbroek, Michael
dc.contributor.authorDurnez, Lies
dc.contributor.authorVan Bortel, Wim
dc.date.accessioned2019-09-02T09:40:15Z
dc.date.available2019-09-02T09:40:15Z
dc.date.issued2019-04-26
dc.date.updated2019-05-27T09:03:28Z
dc.description.abstractBackground. Malaria “hotspots” have been proposed as potential intervention units for targeted malaria elimination. Little is known about hotspot formation and stability in settings outside sub-Saharan Africa. Methods. Clustering of Plasmodium infections at the household and hotspot level was assessed over 2 years in 3 villages in eastern Cambodia. Social and spatial autocorrelation statistics were calculated to assess clustering of malaria risk, and logistic regression was used to assess the effect of living in a malaria hotspot compared to living in a malaria-positive household in the first year of the study on risk of malaria infection in the second year. Results. The crude prevalence of Plasmodium infection was 8.4% in 2016 and 3.6% in 2017. Living in a hotspot in 2016 did not predict Plasmodium risk at the individual or household level in 2017 overall, but living in a Plasmodium-positive household in 2016 strongly predicted living in a Plasmodium-positive household in 2017 (Risk Ratio, 5.00 [95% confidence interval, 2.09–11.96], P < .0001). There was no consistent evidence that malaria risk clustered in groups of socially connected individuals from different households. Conclusions. Malaria risk clustered more clearly in households than in hotspots over 2 years. Household-based strategies should be prioritized in malaria elimination programs in this region.ca
dc.format.extent10 p.
dc.format.mimetypeapplication/pdf
dc.identifier.issn0022-1899
dc.identifier.pmid31028393
dc.identifier.urihttps://hdl.handle.net/2445/138998
dc.language.isoengca
dc.publisherOxford University Pressca
dc.relation.isformatofReproducció del document publicat a: http://dx.doi.org/10.1093/infdis/jiz211
dc.relation.ispartofJournal of Infectious Diseases, 2019
dc.relation.urihttp://dx.doi.org/10.1093/infdis/jiz211
dc.rightscc by-nc-nd (c) Bannister-Tyrrell et al., 2019
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.sourceArticles publicats en revistes (ISGlobal)
dc.subject.classificationMalària
dc.subject.classificationEpidemiologia
dc.subject.classificationCambodja
dc.subject.otherMalaria
dc.subject.otherEpidemiology
dc.subject.otherCambodia
dc.titleHouseholds or hotspots? Defining intervention targets for malaria elimination in Ratanakiri Province, eastern Cambodiaca
dc.typeinfo:eu-repo/semantics/articleca

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