Satellite-derived estimation of environmental suitability for malaria vector de...

• Autor(es): 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.
• Data: 2014
• Identificador Persistente: http://hdl.handle.net/10174/11541
• Origem: Repositório Científico da Universidade de Évora
• Assunto(s): An. atroparvus; Temperature,Habitat suitability,Remote sensing,MODIS,Portugal,Malaria,Vector-born disease
• Tipo de Documento: Artigo
• Idioma: Inglês
• Editor(es): Bauer, Marvin; Alvera-Azcarate, A.

Descrição

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.