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Mapping risk of malaria transmission in mainland Portugal using a mathematical modelling approach

dc.contributor.authorGomes, Eduardo
dc.contributor.authorCapinha, César
dc.contributor.authorRocha, Jorge
dc.contributor.authorSousa, Carla
dc.contributor.institutionInstituto de Higiene e Medicina Tropical (IHMT)
dc.contributor.institutionVector borne diseases and pathogens (VBD)
dc.contributor.institutionGlobal Health and Tropical Medicine (GHTM)
dc.contributor.pblPLOS - Public Library of Science
dc.date.accessioned2018-05-11T22:05:51Z
dc.date.available2018-05-11T22:05:51Z
dc.date.issued2016-11-01
dc.description.abstractMalaria is currently one of the world's major health problems. About a half-million deaths are recorded every year. In Portugal, malaria cases were significantly high until the end of the 1950s but the disease was considered eliminated in 1973. In the past few years, endemic malaria cases have been recorded in some European countries. With the increasing human mobility from countries with endemic malaria to Portugal, there is concern about the resurgence of this disease in the country. Here, we model and map the risk of malaria transmission for mainland Portugal, considering 3 different scenarios of existing imported infections. This risk assessment resulted from entomological studies on An. atroparvus, the only known mosquito capable of transmitting malaria in the study area. We used the malariogenic potential (determined by receptivity, infectivity and vulnerability) applied over geospatial data sets to estimate spatial variation in malaria risk. The results suggest that the risk exists, and the hotspots are concentrated in the northeast region of the country and in the upper and lower Alentejo regions.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent3488067
dc.identifier.doi10.1371/journal.pone.0164788
dc.identifier.issn1932-6203
dc.identifier.otherPURE: 2451792
dc.identifier.otherPURE UUID: d39df7e7-5f42-4fc0-868a-550866a85771
dc.identifier.otherScopus: 84994609066
dc.identifier.otherPubMed: 27814371
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=84994609066&partnerID=8YFLogxK
dc.identifier.urlhttps://www.scopus.com/pages/publications/84994609066
dc.language.isoeng
dc.peerreviewedyes
dc.subjectGeneral Medicine
dc.subjectGeneral Biochemistry,Genetics and Molecular Biology
dc.subjectGeneral Agricultural and Biological Sciences
dc.subjectSDG 3 - Good Health and Well-being
dc.titleMapping risk of malaria transmission in mainland Portugal using a mathematical modelling approachen
dc.typejournal article
degois.publication.issue11
degois.publication.titlePLoS ONE
degois.publication.volume11
dspace.entity.typePublication
rcaap.rightsopenAccess

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