Mapping risk of Malaria transmission in Mainland Portugal using a mathematical modelling approach
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10451/28120 |
Resumo: | 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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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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 E, Capinha C, Rocha J, Sousa C (2016) Mapping Risk of Malaria Transmission in Mainland Portugal Using a Mathematical ModellingApproach. PLoS ONE 11(11): e0164788.doi:10.1371/journal.pone.016478810.1371/journal.pone.0164788info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T16:19:27Zoai:repositorio.ul.pt:10451/28120Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:44:21.758437Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
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 E, Capinha C, Rocha J, Sousa C (2016) Mapping Risk of Malaria Transmission in Mainland Portugal Using a Mathematical ModellingApproach. PLoS ONE 11(11): e0164788.doi: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:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799134364843376640 |