Cargando…

Mapping Risk of Malaria Transmission in Mainland Portugal Using a Mathematical Modelling Approach

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Gomes, Eduardo, Capinha, César, Rocha, Jorge, Sousa, Carla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5096710/
https://www.ncbi.nlm.nih.gov/pubmed/27814371
http://dx.doi.org/10.1371/journal.pone.0164788
_version_ 1782465511738572800
author Gomes, Eduardo
Capinha, César
Rocha, Jorge
Sousa, Carla
author_facet Gomes, Eduardo
Capinha, César
Rocha, Jorge
Sousa, Carla
author_sort Gomes, Eduardo
collection PubMed
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.
format Online
Article
Text
id pubmed-5096710
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-50967102016-11-18 Mapping Risk of Malaria Transmission in Mainland Portugal Using a Mathematical Modelling Approach Gomes, Eduardo Capinha, César Rocha, Jorge Sousa, Carla PLoS One Research Article 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. Public Library of Science 2016-11-04 /pmc/articles/PMC5096710/ /pubmed/27814371 http://dx.doi.org/10.1371/journal.pone.0164788 Text en © 2016 Gomes et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gomes, Eduardo
Capinha, César
Rocha, Jorge
Sousa, Carla
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
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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5096710/
https://www.ncbi.nlm.nih.gov/pubmed/27814371
http://dx.doi.org/10.1371/journal.pone.0164788
work_keys_str_mv AT gomeseduardo mappingriskofmalariatransmissioninmainlandportugalusingamathematicalmodellingapproach
AT capinhacesar mappingriskofmalariatransmissioninmainlandportugalusingamathematicalmodellingapproach
AT rochajorge mappingriskofmalariatransmissioninmainlandportugalusingamathematicalmodellingapproach
AT sousacarla mappingriskofmalariatransmissioninmainlandportugalusingamathematicalmodellingapproach