@article{fdi:010071100,
  title = {{R}egionalization of a landscape-based hazard index of malaria transmission : an example of the state of {A}mapá, {B}razil},
  author = {{Z}hichao {L}i and {C}atry, {T}hibault and {D}essay, {N}adine and {D}a {C}osta {G}urgel, {H}. and {A}parecido de {A}lmeida, {C}. and {B}arcellos, {C}. and {R}oux, {E}mmanuel},
  editor = {},
  language = {{ENG}},
  abstract = {{I}dentifying and assessing the relative effects of the numerous determinants of malaria transmission, at different spatial scales and resolutions, is of primary importance in defining control strategies and reaching the goal of the elimination of malaria. {I}n this context, based on a knowledge-based model, a normalized landscape-based hazard index ({NLHI}) was established at a local scale, using a 10 m spatial resolution forest vs. non-forest map, landscape metrics and a spatial moving window. {S}uch an index evaluates the contribution of landscape to the probability of human-malaria vector encounters, and thus to malaria transmission risk. {S}ince the knowledge-based model is tailored to the entire {A}mazon region, such an index might be generalized at large scales for establishing a regional view of the landscape contribution to malaria transmission. {T}hus, this study uses an open large-scale land use and land cover dataset (i.e., the 30 m {T}erra{C}lass maps) and proposes an automatic data-processing chain for implementing {NLHI} at large-scale. {F}irst, the impact of coarser spatial resolution (i.e., 30 m) on {NLHI} values was studied. {S}econd, the data-processing chain was established using {R} language for customizing the spatial moving window and computing the landscape metrics and {NLHI} at large scale. {T}his paper presents the results in the {S}tate of {A}mapá, {B}razil. {I}t offers the possibility of monitoring a significant determinant of malaria transmission at regional scale.},
  keywords = {{PALUDISME} ; {TRANSMISSION} ; {ANALYSE} {SPATIALE} ; {GESTION} {DE} {L}'{ENVIRONNEMENT} ; {DEFORESTATION} ; {CARTOGRAPHIE} {AUTOMATIQUE} ; {BRESIL} ; {GUYANE} {FRANCAISE} ; {AMAZONIE} ; {AMAPA}},
  booktitle = {},
  journal = {{D}ata},
  volume = {2},
  numero = {4},
  pages = {art. no 37 [11  en ligne]},
  ISSN = {2306-5729},
  year = {2017},
  DOI = {10.3390/data2040037},
  URL = {https://www.documentation.ird.fr/hor/fdi:010071100},
}