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Socio-demographics and the development of malaria elimination strategies in the low transmission setting

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dc.contributor.author Chuquiyauri, R.
dc.contributor.author Paredes, M.
dc.contributor.author Peñataro, P.
dc.contributor.author Torres, S.
dc.contributor.author Marin, S.
dc.contributor.author Tenorio, A.
dc.contributor.author Brouwer, K.C.
dc.contributor.author Abeles, S.
dc.contributor.author Llanos Cuentas, Elmer Alejandro
dc.contributor.author Gilman, Robert Hugh
dc.contributor.author Kosek, M.
dc.contributor.author Vinetz, Joseph Michael
dc.date.accessioned 2022-01-18T19:26:45Z
dc.date.available 2022-01-18T19:26:45Z
dc.date.issued 2012
dc.identifier.uri https://hdl.handle.net/20.500.12866/10839
dc.description.abstract This analysis presents a comprehensive description of malaria burden and risk factors in Peruvian Amazon villages where malaria transmission is hypoendemic. More than 9000 subjects were studied in contrasting village settings within the Department of Loreto, Peru, where most malaria occurs in the country. Plasmodium vivax is responsible for more than 75% of malaria cases; severe disease from any form of malaria is uncommon and death rare. The association between lifetime malaria episodes and individual and household covariates was studied using polychotomous logistic regression analysis, assessing effects on odds of some vs. no lifetime malaria episodes. Malaria morbidity during lifetime was strongly associated with age, logging, farming, travel history, and living with a logger or agriculturist. Select groups of adults, particularly loggers and agriculturists acquire multiple malaria infections in transmission settings outside of the main domicile, and may be mobile human reservoirs by which malaria parasites move within and between micro-regions within malaria endemic settings. For example, such individuals might well be reservoirs of transmission by introducing or reintroducing malaria into their home villages and their own households, depending on vector ecology and the local village setting. Therefore, socio-demographic studies can identify people with the epidemiological characteristic of transmission risk, and these individuals would be prime targets against which to deploy transmission blocking strategies along with insecticide treated bednets and chemoprophylaxis. en_US
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartofseries Acta Tropica
dc.rights info:eu-repo/semantics/restrictedAccess
dc.subject Aged 80 And Over en_US
dc.subject Humans en_US
dc.subject Logistic Models en_US
dc.subject Peru en_US
dc.subject Young |Communicable Disease Control en_US
dc.subject Endemic Disease en_US
dc.subject Geographic Distribution en_US
dc.subject Malaria en_US
dc.subject Malaria Control en_US
dc.subject Parasite Transmission en_US
dc.subject Plasmodium Vivax en_US
dc.subject Population Research en_US
dc.subject Age Distribution en_US
dc.subject Age Factors en_US
dc.subject Agricultural Worker en_US
dc.subject Cause Of Death en_US
dc.subject Covariance Analysis en_US
dc.subject Data Collection en_US
dc.subject Demography en_US
dc.subject Disease Association en_US
dc.subject Disease Severity en_US
dc.subject Epidemiology en_US
dc.subject Infant en_US
dc.subject Insecticide en_US
dc.subject Loreto en_US
dc.subject Morbidity en_US
dc.subject Neotropical en_US
dc.subject Occupational Health en_US
dc.subject Plasmodium Falciparum en_US
dc.subject Population Dispersal en_US
dc.subject Prevalence en_US
dc.subject Regression Analysis en_US
dc.subject Retrospective Studies en_US
dc.subject Sex Difference en_US
dc.subject Socioeconomic Factors en_US
dc.subject South America en_US
dc.subject Transmission en_US
dc.subject Village en_US
dc.title Socio-demographics and the development of malaria elimination strategies in the low transmission setting en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1016/j.actatropica.2011.11.003
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.03.06
dc.relation.issn 1873-6254


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