Satellite-derived estimation of environmental suitability for malaria vector development in Portugal
Autor(a) principal: | |
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Data de Publicação: | 2014 |
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/10174/11541 https://doi.org/10.1016/j.rse.2014.01.014 |
Resumo: | Malaria was endemic in Europe for more than two millennia until it was eradicated in the 1970s. Recent autochthonous cases registered in Greece have increased the awareness regarding the threat of malaria re-emergence in Southern Europe. Currently, the presence of competent vectors, suitable environmental conditions and the evidences of a changing climate may increase the widespread re-emergence of malaria in Southern Europe. This work focused on determining the current relationships between environmental factors and the density of the former malaria vector Anopheles atroparvus in Portugal, a previously endemic country. Adult females were sampled and vector density was estimated in 22 sites in Southern Portugal between 2001 and 2010 and related with land cover and satellite-derived air temperature and vegetation indices. The relationship between vector density and current local larval habitat, temperature and, in a broader sense, to environmental conditions, was assessed using a statistical modelling approach. Results showed that present environmental conditions are suitable for vector development at high densities and the spatial and temporal patterns closely resemble the ones registered in the past endemic period. Statistical modelling of the relationships between environmental conditions and vector density, as well as the use of satellite-derived data, allowed the extrapolation of suitable conditions for vector development from site-level to the entire Portuguese mainland territory. This work also improved the baseline knowledge needed to understand the potential impacts of future environmental changes on vector density and, indirectly, on the risk of malaria re-emergence. |
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Satellite-derived estimation of environmental suitability for malaria vector development in PortugalAn. atroparvusTemperature,Habitat suitability,Remote sensing,MODIS,Portugal,Malaria,Vector-born diseaseMalaria was endemic in Europe for more than two millennia until it was eradicated in the 1970s. Recent autochthonous cases registered in Greece have increased the awareness regarding the threat of malaria re-emergence in Southern Europe. Currently, the presence of competent vectors, suitable environmental conditions and the evidences of a changing climate may increase the widespread re-emergence of malaria in Southern Europe. This work focused on determining the current relationships between environmental factors and the density of the former malaria vector Anopheles atroparvus in Portugal, a previously endemic country. Adult females were sampled and vector density was estimated in 22 sites in Southern Portugal between 2001 and 2010 and related with land cover and satellite-derived air temperature and vegetation indices. The relationship between vector density and current local larval habitat, temperature and, in a broader sense, to environmental conditions, was assessed using a statistical modelling approach. Results showed that present environmental conditions are suitable for vector development at high densities and the spatial and temporal patterns closely resemble the ones registered in the past endemic period. Statistical modelling of the relationships between environmental conditions and vector density, as well as the use of satellite-derived data, allowed the extrapolation of suitable conditions for vector development from site-level to the entire Portuguese mainland territory. This work also improved the baseline knowledge needed to understand the potential impacts of future environmental changes on vector density and, indirectly, on the risk of malaria re-emergence.Elsevier Inc.2014-10-06T16:19:16Z2014-10-062014-02-26T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/11541http://hdl.handle.net/10174/11541https://doi.org/10.1016/j.rse.2014.01.014engBenali, A., Nunes, J.P., Freitas, F., Sousa, C.A., Novo, M.T., Lourenço, P.M., Lima, J.C., Seixas J.; Almeida, A.P.G. (2014): Satellite-derived estimation of environmental suitability for malaria vector development in Portugal. Remote Sensing and Environment, 145: 116-130.aklibenali@gmail.comjpcn@ua.ptferdinandofreitas@gmail.comcasousa@ihmt.unl.ptTeNovo@ihmt.unl.ptpmblournco@gmail.comjcl@uevora.ptmjs@fct.unl.ptpalmeida@ihmt.unl.ptRemote Sensing of Environment239Benali, AkliNunes, J.P.Freitas, F.B.Sousa, C.A.Novo, M.T.Lourenço, P.M.Lima, J.C.Seixas, J.Almeida, A.P.G.info: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:RCAAP2024-01-03T18:55:03Zoai:dspace.uevora.pt:10174/11541Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:05:07.683804Repositório 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 |
Satellite-derived estimation of environmental suitability for malaria vector development in Portugal |
title |
Satellite-derived estimation of environmental suitability for malaria vector development in Portugal |
spellingShingle |
Satellite-derived estimation of environmental suitability for malaria vector development in Portugal Benali, Akli An. atroparvus Temperature,Habitat suitability,Remote sensing,MODIS,Portugal,Malaria,Vector-born disease |
title_short |
Satellite-derived estimation of environmental suitability for malaria vector development in Portugal |
title_full |
Satellite-derived estimation of environmental suitability for malaria vector development in Portugal |
title_fullStr |
Satellite-derived estimation of environmental suitability for malaria vector development in Portugal |
title_full_unstemmed |
Satellite-derived estimation of environmental suitability for malaria vector development in Portugal |
title_sort |
Satellite-derived estimation of environmental suitability for malaria vector development in Portugal |
author |
Benali, Akli |
author_facet |
Benali, Akli Nunes, J.P. Freitas, F.B. Sousa, C.A. Novo, M.T. Lourenço, P.M. Lima, J.C. Seixas, J. Almeida, A.P.G. |
author_role |
author |
author2 |
Nunes, J.P. Freitas, F.B. Sousa, C.A. Novo, M.T. Lourenço, P.M. Lima, J.C. Seixas, J. Almeida, A.P.G. |
author2_role |
author author author author author author author author |
dc.contributor.author.fl_str_mv |
Benali, Akli Nunes, J.P. Freitas, F.B. Sousa, C.A. Novo, M.T. Lourenço, P.M. Lima, J.C. Seixas, J. Almeida, A.P.G. |
dc.subject.por.fl_str_mv |
An. atroparvus Temperature,Habitat suitability,Remote sensing,MODIS,Portugal,Malaria,Vector-born disease |
topic |
An. atroparvus Temperature,Habitat suitability,Remote sensing,MODIS,Portugal,Malaria,Vector-born disease |
description |
Malaria was endemic in Europe for more than two millennia until it was eradicated in the 1970s. Recent autochthonous cases registered in Greece have increased the awareness regarding the threat of malaria re-emergence in Southern Europe. Currently, the presence of competent vectors, suitable environmental conditions and the evidences of a changing climate may increase the widespread re-emergence of malaria in Southern Europe. This work focused on determining the current relationships between environmental factors and the density of the former malaria vector Anopheles atroparvus in Portugal, a previously endemic country. Adult females were sampled and vector density was estimated in 22 sites in Southern Portugal between 2001 and 2010 and related with land cover and satellite-derived air temperature and vegetation indices. The relationship between vector density and current local larval habitat, temperature and, in a broader sense, to environmental conditions, was assessed using a statistical modelling approach. Results showed that present environmental conditions are suitable for vector development at high densities and the spatial and temporal patterns closely resemble the ones registered in the past endemic period. Statistical modelling of the relationships between environmental conditions and vector density, as well as the use of satellite-derived data, allowed the extrapolation of suitable conditions for vector development from site-level to the entire Portuguese mainland territory. This work also improved the baseline knowledge needed to understand the potential impacts of future environmental changes on vector density and, indirectly, on the risk of malaria re-emergence. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-10-06T16:19:16Z 2014-10-06 2014-02-26T00:00:00Z |
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/10174/11541 http://hdl.handle.net/10174/11541 https://doi.org/10.1016/j.rse.2014.01.014 |
url |
http://hdl.handle.net/10174/11541 https://doi.org/10.1016/j.rse.2014.01.014 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Benali, A., Nunes, J.P., Freitas, F., Sousa, C.A., Novo, M.T., Lourenço, P.M., Lima, J.C., Seixas J.; Almeida, A.P.G. (2014): Satellite-derived estimation of environmental suitability for malaria vector development in Portugal. Remote Sensing and Environment, 145: 116-130. aklibenali@gmail.com jpcn@ua.pt ferdinandofreitas@gmail.com casousa@ihmt.unl.pt TeNovo@ihmt.unl.pt pmblournco@gmail.com jcl@uevora.pt mjs@fct.unl.pt palmeida@ihmt.unl.pt Remote Sensing of Environment 239 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Elsevier Inc. |
publisher.none.fl_str_mv |
Elsevier Inc. |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799136536384503808 |