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

Bibliographic Details
Main Author: Gomes, Eduardo
Publication Date: 2016
Other Authors: Capinha, César, Rocha, Jorge, Sousa, Carla
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10451/28120
Summary: Malaria 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.
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spelling Mapping risk of malaria transmission in mainland Portugal using a mathematical modelling approachMalariaTransmissionMapping RiskMathematical modelPortugalMalaria 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.Universidade Federal de Minas GeraisRepositório da Universidade de LisboaGomes, EduardoCapinha, CésarRocha, JorgeSousa, Carla2017-06-21T11:15:49Z20162016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/28120engGomes, 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.016478810.1371/journal.pone.0164788info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-17T13:40:24Zoai:repositorio.ulisboa.pt:10451/28120Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T02:51:01.667714Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Mapping risk of malaria transmission in mainland Portugal using a mathematical modelling approach
title Mapping risk of malaria transmission in mainland Portugal using a mathematical modelling approach
spellingShingle Mapping risk of malaria transmission in mainland Portugal using a mathematical modelling approach
Gomes, Eduardo
Malaria
Transmission
Mapping Risk
Mathematical model
Portugal
title_short Mapping risk of malaria transmission in mainland Portugal using a mathematical modelling approach
title_full Mapping risk of malaria transmission in mainland Portugal using a mathematical modelling approach
title_fullStr Mapping risk of malaria transmission in mainland Portugal using a mathematical modelling approach
title_full_unstemmed Mapping risk of malaria transmission in mainland Portugal using a mathematical modelling approach
title_sort Mapping risk of malaria transmission in mainland Portugal using a mathematical modelling approach
author Gomes, Eduardo
author_facet Gomes, Eduardo
Capinha, César
Rocha, Jorge
Sousa, Carla
author_role author
author2 Capinha, César
Rocha, Jorge
Sousa, Carla
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Gomes, Eduardo
Capinha, César
Rocha, Jorge
Sousa, Carla
dc.subject.por.fl_str_mv Malaria
Transmission
Mapping Risk
Mathematical model
Portugal
topic Malaria
Transmission
Mapping Risk
Mathematical model
Portugal
description Malaria 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.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01T00:00:00Z
2017-06-21T11:15:49Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10451/28120
url http://hdl.handle.net/10451/28120
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Gomes, 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.0164788
10.1371/journal.pone.0164788
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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