@article{fdi:010070227,
  title = {{D}istribution of the habitat suitability of the main malaria vector in {F}rench {G}uiana using maximum entropy modeling},
  author = {{M}oua, {Y}. and {R}oux, {E}mmanuel and {G}irod, {R}. and {D}usfour, {I}. and {T}hoisy, {B}. de and {S}eyler, {F}r{\'e}d{\'e}rique and {B}riolant, {S}.},
  editor = {},
  language = {{ENG}},
  abstract = {{M}alaria is an important health issue in {F}rench {G}uiana. {I}ts principal mosquito vector in this region is {A}nopheles darlingi {R}oot. {K}nowledge of the spatial distribution of this species is still very incomplete due to the extent of {F}rench {G}uiana and the difficulty to access most of the territory. {S}pecies distribution modeling based on the maximal entropy procedure was used to predict the spatial distribution of {A}n. darlingi using 39 presence sites. {T}he resulting model provided significantly high prediction performances (mean 10-fold cross-validated partial area under the curve and continuous {B}oyce index equal to, respectively, 1.11-with a level of omission error of 20%- and 0.42). {T}he model also provided a habitat suitability map and environmental response curves in accordance with the known entomological situation. {S}everal environmental characteristics that had a positive correlation with the presence of {A}n. darlingi were highlighted: nonpermanent anthropogenic changes of the natural environment, the presence of roads and tracks, and opening of the forest. {S}ome geomorphological landforms and high altitude landscapes appear to be unsuitable for {A}n. darlingi. {T}he species distribution modeling was able to reliably predict the distribution of suitable habitats for {A}n. darlingi in {F}rench {G}uiana. {R}esults allowed completion of the knowledge of the spatial distribution of the principal malaria vector in this {A}mazonian region, and identification of the main factors that favor its presence. {T}hey should contribute to the definition of a necessary targeted vector control strategy in a malaria pre-elimination stage, and allow extrapolation of the acquired knowledge to other {A}mazonian or malaria-endemic contexts.},
  keywords = {{M}axent ; species distribution model ; presence-only ; {A}nopheles darlingi ; sampling bias ; {GUYANE} {FRANCAISE}},
  booktitle = {},
  journal = {{J}ournal of {M}edical {E}ntomology},
  volume = {54},
  numero = {3},
  pages = {606--621},
  ISSN = {0022-2585},
  year = {2017},
  DOI = {10.1093/jme/tjw199},
  URL = {https://www.documentation.ird.fr/hor/fdi:010070227},
}