Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Wetlands and Malaria in the Amazon

Guidelines for the Use of Synthetic Aperture Radar Remote-Sensing

Bibliographic Data

ID15468872
AuthorsThibault Catry (0000-0001-9514-1751, Institut de Recherche pour le Développement, corresponding author), Zhichao Li (0000-0001-8218-0540, Tsinghua University), Emmanuel Roux (0000-0003-2266-8207, Institut de Recherche pour le Développement), Vincent Herbreteau (0000-0003-1762-6336, Institut de Recherche pour le Développement), Helen Da Costa Gurgel (0000-0002-4250-6742, Universidade de Brasília), Morgan Mangeas (0000-0003-4146-3784, Institut de Recherche pour le Développement), F Seyler (0000-0002-3609-7524, Institut de Recherche pour le Développement), Nadine Dessay (0000-0003-0526-3531, Institut de Recherche pour le Développement)
Year2018
Volume15
Issue3
Pages468-468
Publication date2018-03-07
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph15030468
PMID29518988
OpenAlexW2792266162
LanguageEN
Citations received1
References cited73

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

Amazon rainforest · Biology · Environmental data · Geography · Malaria · Remote sensing · Synthetic aperture radar · Wetland · Environmental Science · Malaria Research and Control · Mosquito-borne diseases and control · Viral Infections and Vectors · Ecology

  • Apports de la combinaison d'images satellites optique et Radar dans l'étude des maladies à transmission vectorielle

    Open Access•Thibault Catry, Auréa Pottier et al.•Confins•2018

  • The Global 200

    David M Olson, E Dinerstein•Annals of the Missouri Botanical…•2002

  • Mapping Environmental Dimensions of Dengue Fever Transmission Risk in the Aburrá Valley, Colombia

    Open Access•Sair Arboleda, Nicolás Jaramillo et al.•International Journal of…•2009

  • Thirty years of use and improvement of remote sensing, applied to epidemiology

    Open Access•Vincent Herbreteau, Gérard Salem et al.•Health & Place•2007

  • Climate change and vector-borne diseases

    Open Access•Pim Martens, WJM Martens et al.•Global Environmental Change•1995

  • Remote sensing as a tool to survey endemic diseases in Brazil

    Open Access•Virginia Ragoni De Moraes Correia, Matheus Dos Santos Carvalho et al.•Cadernos de Saude Publica•2004

  • Uso do sensoriamento remoto para estudar a influência de alterações ambientais na distribuição da malária na Amazônia brasileira

    Open Access•Cíntia Honório Vasconcelos, Evlyn Márcia Leão De Morais Novo et al.•Cadernos de Saude Publica•2006

Unique citing works1
Citations per year0,13
Citation span2018 - 2018 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

Tools

Open DOISci-HubOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae