@article{fdi:010060335,
  title = {{V}ectorborne diseases in {W}est {A}frica : geographic distribution and geospatial characteristics},
  author = {{R}atmanov, {P}avel and {M}ediannikov, {O}leg and {R}aoult, {D}idier},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his paper provides an overview of the methods in which geographic information systems ({GIS}) and remote sensing ({RS}) technology have been used to visualise and analyse data related to vectorborne diseases ({VBD}) in {W}est {A}frica and to discuss the potential for these approaches to be routinely included in future studies of {VBD}s. {GIS}/{RS} studies of diseases that are associated with a specific geographic landscape were reviewed, including malaria, human {A}frican trypanosomiasis, leishmaniasis, lymphatic filariasis, {L}oa loa filariasis, onchocerciasis, {R}ift {V}alley fever, dengue, yellow fever, borreliosis, rickettsioses, {B}uruli ulcer and {Q} fever. {RS} data and powerful spatial modelling methods improve our understanding of how environmental factors affect the vectors and transmission of {VBD}s. {T}here is great potential for the use of {GIS}/{RS} technologies in the surveillance, prevention and control of vectorborne and other infectious diseases in {W}est {A}frica.},
  keywords = {{E}pidemiology ; {V}ectorborne diseases ; {S}patial analysis ; {G}eographic information systems ; {R}emote sensing ; {W}est {A}frica ; {AFRIQUE} {DE} {L}'{OUEST}},
  booktitle = {},
  journal = {{T}ransactions of the {R}oyal {S}ociety of {T}ropical {M}edicine and {H}ygiene},
  volume = {107},
  numero = {5},
  pages = {273--284},
  ISSN = {0035-9203},
  year = {2013},
  DOI = {10.1093/trstmh/trt020},
  URL = {https://www.documentation.ird.fr/hor/fdi:010060335},
}