Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/138998
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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.identifier.issn0022-1899-
dc.identifier.urihttp://hdl.handle.net/2445/138998-
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.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.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
dc.date.updated2019-05-27T09:03:28Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
dc.identifier.pmid31028393-
Appears in Collections:Articles publicats en revistes (ISGlobal)

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