Bannister-Tyrrell, MelanieKrit, MeryamSluydts, VincentTho, SochanthaSokny, MaoMean, VannaKim, SaorinMénard, DidierGrietens, Koen PeetersAbrams, StevenHens, NielCoosemans, MarcBassat Orellana, QuiqueBoele van Hensbroek, MichaelDurnez, LiesVan Bortel, Wim2019-09-022019-09-022019-04-260022-1899https://hdl.handle.net/2445/138998Background. 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.10 p.application/pdfengcc by-nc-nd (c) Bannister-Tyrrell et al., 2019http://creativecommons.org/licenses/by-nc-nd/3.0/es/MalàriaEpidemiologiaCambodjaMalariaEpidemiologyCambodiainfo:eu-repo/semantics/article2019-05-27info:eu-repo/semantics/openAccess31028393