@article{fdi:010060258,
  title = {{L}and cover, land use and malaria in the {A}mazon: a systematic literature review of studies using remotely sensed data},
  author = {{S}tefani, {A}. and {D}usfour, {I}. and {C}orrea, {A}.{P}.{S}.{A}. and {C}ruz, {M}.{C}.{B}. and {D}essay, {N}adine and {G}alardo, {A}.{K}.{R}. and {G}alardo, {C}.{D}. and {G}irod, {R}. and {G}omes, {M}.{S}.{M}. and {G}urgel, {H}. and {L}ima, {A}.{C}.{F}. and {M}oreno, {E}.{S}. and {M}usset, {L}. and {N}acher, {M}. and {S}oares, {A}.{C}.{S}. and {C}arme, {B}. and {R}oux, {E}mmanuel},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he nine countries sharing the {A}mazon forest accounted for 89% of all malaria cases reported in the {A}mericas in 2008. {R}emote sensing can help identify the environmental determinants of malaria transmission and their temporo-spatial evolution. {S}eventeen studies characterizing land cover or land use features, and relating them to malaria in the {A}mazon subregion, were identified. {T}hese were reviewed in order to improve the understanding of the land cover/use class roles in malaria transmission. {T}he indicators affecting the transmission risk were summarized in terms of temporal components, landscape fragmentation and anthropic pressure. {T}his review helps to define a framework for future studies aiming to characterize and monitor malaria.},
  keywords = {{PALUDISME} ; {EPIDEMIOLOGIE} ; {DEFORESTATION} ; {ANALYSE} {SPATIALE} ; {OCCUPATION} {SPATIALE} ; {TELEDETECTION} {SPATIALE} ; {AMAZONIE}},
  booktitle = {},
  journal = {{M}alaria {J}ournal},
  volume = {12},
  numero = {art. no 192},
  pages = {en ligne [8 ]},
  ISSN = {1475-2875},
  year = {2013},
  DOI = {10.1186/1475-2875-12-192},
  URL = {https://www.documentation.ird.fr/hor/fdi:010060258},
}