Land cover, land use and malaria in the Amazon: a systematic literature review of studies using remotely sensed data

Malaria Journal

Review

Alana CS Soares¹  Helen Gurgel²  Eduardo S Moreno³  Mathieu Nacher⁴  Bernard Carme⁴  Aurélia Stefani⁵  Emmanuel Roux⁶  Nadine Dessay⁶  Ana Paula SA Corrêa⁷  Ana Cristina F Lima⁷  Allan KR Galardo⁷  Clícia D Galardo⁷  Lise Musset⁸  Margarete SM Gomes⁹  Manoel CB Cruz^1,10  Romain Girod^1,11  Isabelle Dusfour^1,11 

[1] Agência de Desenvolvimento do Amapá, Macapá, Amapá, Brazil;Department of Geography, Universidade de Brasília, Brasília, Brazil;Distrito Sanitário Especial Indígena - Amapá e Norte do Pará, Secretaria Especial de Saúde Indígena, Ministério da Saúde, Macapá, Brazil;EPaT Team (EA 3593), UFR de Médecine, Université des Antilles et de la Guyane, Cayenne, French Guiana;Centre d’Investigation Clinique – Epidémiologie Clinique Antilles-Guyane (CIC-EC INSERM CIE 802), Cayenne General Hospital, Cayenne, French Guiana;EPaT Team (EA 3593), UFR de Médecine, Université des Antilles et de la Guyane, Cayenne, French Guiana;STRonGer programme, Institut Pasteur de la Guyane, Cayenne, French Guiana;ESPACE-DEV, UMR228 IRD/UMII/UR/UAG, Institut de Recherche pour le Développement, Cayenne, French Guiana;Instituto de Pesquisas Cientificas e Tecnológicas do Estado do Amapá, IEPA, Laboratório de Entomologia, Macapá, Amapá, Brazil;Laboratoire de Parasitologie, Institut Pasteur de la Guyane, Cayenne, French Guiana;Laboratório Central de Saúde Pública do Amapá - LACEN-AP, Macapá, Amapá, Brazil;Secretaria Municipal de Saúde, Oiapoque, Amapá, Brazil;Unité d’Entomologie Médicale, Institut Pasteur de la Guyane, Cayenne, French Guiana;

关键词: Malaria;    Land cover;    Land use;    Typology;    Environmental factors;    Landscape ecology;    Remote sensing;    Amazon;   

DOI  :  10.1186/1475-2875-12-192

 received in 2013-03-07, accepted in 2013-06-03,  发布年份 2013

来源: Springer

【 摘 要 】

The nine countries sharing the Amazon forest accounted for 89% of all malaria cases reported in the Americas in 2008. Remote sensing can help identify the environmental determinants of malaria transmission and their temporo-spatial evolution. Seventeen studies characterizing land cover or land use features, and relating them to malaria in the Amazon subregion, were identified. These were reviewed in order to improve the understanding of the land cover/use class roles in malaria transmission. The indicators affecting the transmission risk were summarized in terms of temporal components, landscape fragmentation and anthropic pressure. This review helps to define a framework for future studies aiming to characterize and monitor malaria.

【 授权许可】

CC BY   
© Stefani et al.; licensee BioMed Central Ltd. 2013