Título :	Wetlands and malaria in the Amazon: guidelines for the use of synthetic aperture radar remote-sensing
Autor :	Catry, Thibault Zhichao, Li Roux, Emmanuel Herbreteau, Vincent Gurgel, Helen da Costa Mangeas, Morgan Seyler, Frédérique Dessay, Nadine
metadata.dc.identifier.orcid:	https://orcid.org/0000-0002-4250-6742 https://orcid.org/0000-0003-4146-3784 https://orcid.org/0000-0002-3609-7524
Assunto::	Solos - umidade Mosquito Malária - Amazônia Sensoriamento remoto
Fecha de publicación :	mar-2018
Editorial :	MDPI
Citación :	CATRY, Thibault et al. Wetlands and malaria in the Amazon: guidelines for the use of synthetic aperture radar remote-sensing. International Journal of Environmental Research and Public Health, v. 15, 468, mar. 2018. DOI:10.3390/ijerph15030468. Disponível em: https://www.mdpi.com/1660-4601/15/3/468. Acesso em: 12 dez. 2019.
Abstract:	The prevention and control of mosquito-borne diseases, such as malaria, are important health issues in tropical areas. Malaria transmission is a multi-scale process strongly controlled by environmental factors, and the use of remote-sensing data is suitable for the characterization of its spatial and temporal dynamics. Synthetic aperture radar (SAR) is well-adapted to tropical areas, since it is capable of imaging independent of light and weather conditions. In this study, we highlight the contribution of SAR sensors in the assessment of the relationship between vectors, malaria and the environment in the Amazon region. More specifically, we focus on the SAR-based characterization of potential breeding sites of mosquito larvae, such as man-made water collections and natural wetlands, providing guidelines for the use of SAR capabilities and techniques in order to optimize vector control and malaria surveillance. In light of these guidelines, we propose a framework for the production of spatialized indicators and malaria risk maps based on the combination of SAR, entomological and epidemiological data to support malaria risk prevention and control actions in the field.
Licença::	© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
DOI:	10.3390/ijerph15030468
Aparece en las colecciones:	Artigos publicados em periódicos e afins

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