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

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dc.contributor.authorGomes, Eduardo
dc.contributor.authorCapinha, César
dc.contributor.authorRocha, Jorge
dc.contributor.authorSousa, Carla
dc.date.accessioned2017-06-21T11:15:49Z
dc.date.available2017-06-21T11:15:49Z
dc.date.issued2016
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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGomes, Eduardo, Capinha, César, Rocha, Jorge, & Sousa, Carla. (2016). Mapping risk of malaria transmission in mainland Portugal using a mathematical modelling approach. PloS ONE, 11(11): e0164788. https://doi.org/10.1371/journal.pone.0164788pt_PT
dc.identifier.doi10.1371/journal.pone.0164788pt_PT
dc.identifier.urihttp://hdl.handle.net/10451/28120
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherUniversidade Federal de Minas Geraispt_PT
dc.relationEU grant GOCE-2003-010284 EDENpt_PT
dc.relationPOCTI/35775/ESP/2000pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMalariapt_PT
dc.subjectTransmissionpt_PT
dc.subjectMapping Riskpt_PT
dc.subjectMathematical modelpt_PT
dc.subjectPortugalpt_PT
dc.titleMapping risk of malaria transmission in mainland Portugal using a mathematical modelling approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FMulti%2F04413%2F2013/PT
oaire.citation.issue11pt_PT
oaire.citation.startPagee0164788pt_PT
oaire.citation.titlePLoS ONEpt_PT
oaire.citation.volume11pt_PT
oaire.fundingStream5876
person.familyNameGomes
person.familyNameCapinha
person.familyNameRocha
person.givenNameEduardo
person.givenNameCésar
person.givenNameJorge
person.identifier0000000069085031
person.identifier.ciencia-idBD16-38FD-7C3E
person.identifier.ciencia-id7714-2A88-CDE3
person.identifier.ciencia-idEC15-76DC-9B96
person.identifier.orcid0000-0001-8703-1763
person.identifier.orcid0000-0002-0666-9755
person.identifier.orcid0000-0002-7228-6330
person.identifier.ridV-6159-2017
person.identifier.ridK-6439-2017
person.identifier.ridF-3185-2017
person.identifier.scopus-author-id32867650100
person.identifier.scopus-author-id32867555000
person.identifier.scopus-author-id56428061000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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