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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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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 |
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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 |
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