Show simple item record

dc.creatorFuller, Douglas O.
dc.creatorTroyo Rodríguez, Adriana
dc.creatorAlimi, Taiwo
dc.creatorBeier, John C.
dc.date.accessioned2018-06-21T15:31:19Z
dc.date.available2018-06-21T15:31:19Z
dc.date.issued2014-03-01
dc.identifier.issn0143-6228
dc.identifier.otherNIHMS555600
dc.identifier.urihttp://hdl.handle.net/10669/74966
dc.description.abstractMalaria elimination remains a major public health challenge in many tropical regions, including large areas of northern South America. In this study, we present a new high spatial resolution (90 × 90 m) risk map for Colombia and surrounding areas based on environmental and human population data. The map was created through a participatory multi-criteria decision analysis in which expert opinion was solicited to determine key environmental and population risk factors, different fuzzy functions to standardize risk factor inputs, and variable factor weights to combine risk factors in a geographic information system. The new risk map was compared to a map of malaria cases in which cases were aggregated to the municipio (municipality) level. The relationship between mean municipio risk scores and total cases by muncípio showed a weak correlation. However, the relationship between pixel-level risk scores and vector occurrence points for two dominant vector species, Anopheles albimanus and An. darlingi, was significantly different (p < 0.05) from a random point distribution, as was a pooled point distribution for these two vector species and An. nuneztovari. Thus, we conclude that the new risk map derived based on expert opinion provides an accurate spatial representation of risk of potential vector exposure rather than malaria transmission as shown by the pattern of malaria cases, and therefore it may be used to inform public health authorities as to where vector control measures should be prioritized to limit human-vector contact in future malaria outbreaks.es_ES
dc.description.sponsorshipNational Institutes of Health/[5U19Ai089702]/NIH/Estados Unidoses_ES
dc.language.isoen_USes_ES
dc.relation.ispartofApplied Geography Volumen 48 Número
dc.sourceApplied Geography, Vol.48, pp.1-7es_ES
dc.subjectParticipatory GISes_ES
dc.subjectMalariaes_ES
dc.subjectRisk mappinges_ES
dc.subjectMulti-criteria decision analysises_ES
dc.subjectAnopheles specieses_ES
dc.subject571.986 Vectores de enfermedadeses_ES
dc.titleParticipatory risk mapping of malaria vector exposure in northern South America using environmental and population dataes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2018-05-15T20:08:31Z
dc.identifier.doi10.1016/j.apgeog.2014.01.002
dc.description.procedenceUCR::Investigación::Unidades de Investigación::Ciencias de la Salud::Centro de Investigación en Enfermedades Tropicales (CIET)es_ES
dc.identifier.pmidPMC4066217
dc.identifier.pmid24976656


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record