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dc.contributor.authorZuluaga Idarraga, Lina Marcela-
dc.contributor.authorBlair Trujillo, Silvia-
dc.contributor.authorTaylor, Jesse E.-
dc.contributor.authorChenet, Stella M.-
dc.contributor.authorEscalante, Ananias A.-
dc.date.accessioned2023-04-27T13:45:14Z-
dc.date.available2023-04-27T13:45:14Z-
dc.date.issued2015-
dc.identifier.citationChenet SM, Taylor JE, Blair S, Zuluaga L, Escalante AA. Longitudinal analysis of Plasmodium falciparum genetic variation in Turbo, Colombia: implications for malaria control and elimination. Malar J. 2015 Sep 22;14:363. doi: 10.1186/s12936-015-0887-9.spa
dc.identifier.issn1475-2875-
dc.identifier.urihttps://hdl.handle.net/10495/34764-
dc.description.abstractABSTRACT: Background: Malaria programmes estimate changes in prevalence to evaluate their efficacy. In this study, parasite genetic data was used to explore how the demography of the parasite population can inform about the processes driving variation in prevalence. In particular, how changes in treatment and population movement have affected malaria prevalence in an area with seasonal malaria. Methods: Samples of Plasmodium falciparum collected over 8 years from a population in Turbo, Colombia were genotyped at nine microsatellite loci and three drug-resistance loci. These data were analysed using several population genetic methods to detect changes in parasite genetic diversity and population structure. In addition, a coalescent- based method was used to estimate substitution rates at the microsatellite loci. Results: The estimated mean microsatellite substitution rates varied between 5.35 × 10−3 and 3.77 × 10−2 substitutions/ locus/month. Cluster analysis identified six distinct parasite clusters, five of which persisted for the full duration of the study. However, the frequencies of the clusters varied significantly between years, consistent with a small effective population size. Conclusions: Malaria control programmes can detect re-introductions and changes in transmission using rapidly evolving microsatellite loci. In this population, the steadily decreasing diversity and the relatively constant effective population size suggest that an increase in malaria prevalence from 2004 to 2007 was primarily driven by local rather than imported cases.spa
dc.format.extent10spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherBMC (BioMed Central)spa
dc.type.hasversioninfo:eu-repo/semantics/publishedVersionspa
dc.rightsinfo:eu-repo/semantics/openAccessspa
dc.rights.urihttp://creativecommons.org/licenses/by/2.5/co/*
dc.titleLongitudinal analysis of Plasmodium falciparum genetic variation in Turbo, Colombia: implications for malaria control and eliminationspa
dc.typeinfo:eu-repo/semantics/articlespa
dc.publisher.groupGrupo Malariaspa
dc.identifier.doi10.1186/s12936-015-0887-9-
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.rights.accessrightshttp://purl.org/coar/access_right/c_abf2spa
oaire.citationtitleMalaria Journalspa
oaire.citationstartpage1spa
oaire.citationendpage10spa
oaire.citationvolume14spa
dc.rights.creativecommonshttps://creativecommons.org/licenses/by/4.0/spa
dc.publisher.placeLondres, Inglaterraspa
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1spa
dc.type.redcolhttps://purl.org/redcol/resource_type/ARTspa
dc.type.localArtículo de investigaciónspa
dc.subject.decsAnciano de 80 o más Años-
dc.subject.decsAged, 80 and over-
dc.subject.decsMalaria, Falciparum-
dc.subject.decsPlasmodium falciparum-
dc.subject.decsTasa de Mutación-
dc.subject.decsMutation Rate-
dc.subject.decsRepeticiones de Microsatélite-
dc.subject.decsMicrosatellite Repeats-
dc.subject.decsColombia - epidemiología-
dc.subject.decsColombia / epidemiology-
dc.description.researchgroupidCOL0007524spa
dc.relation.ispartofjournalabbrevMalar. J.spa
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