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...

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Main Authors: Eduardo Gomes, César Capinha, Jorge Rocha, Carla Sousa
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5096710?pdf=render
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spelling doaj-1841f9211cae487591b5b84b476091652020-11-25T00:08:37ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-011111e016478810.1371/journal.pone.0164788Mapping Risk of Malaria Transmission in Mainland Portugal Using a Mathematical Modelling Approach.Eduardo GomesCésar CapinhaJorge RochaCarla SousaMalaria 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.http://europepmc.org/articles/PMC5096710?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Eduardo Gomes
César Capinha
Jorge Rocha
Carla Sousa
spellingShingle Eduardo Gomes
César Capinha
Jorge Rocha
Carla Sousa
Mapping Risk of Malaria Transmission in Mainland Portugal Using a Mathematical Modelling Approach.
PLoS ONE
author_facet Eduardo Gomes
César Capinha
Jorge Rocha
Carla Sousa
author_sort Eduardo Gomes
title 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_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.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2016-01-01
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.
url http://europepmc.org/articles/PMC5096710?pdf=render
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AT cesarcapinha mappingriskofmalariatransmissioninmainlandportugalusingamathematicalmodellingapproach
AT jorgerocha mappingriskofmalariatransmissioninmainlandportugalusingamathematicalmodellingapproach
AT carlasousa mappingriskofmalariatransmissioninmainlandportugalusingamathematicalmodellingapproach
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