@article{fdi:010042716,
  title = {{U}sing remote sensing to map larval and adult populations of {A}nopheles hyrcanus ({D}iptera : {C}ulicidae) a potential malaria vector in {S}outhern {F}rance - art. no. 9},
  author = {{T}ran, {A}. and {P}on{\c{c}}on, {N}icolas and {T}oty, {C}{\'e}line and {L}inard, {C}. and {G}uis, {H}. and {F}erre, {J}. {B}. and {L}o {S}een, {D}. and {R}oger, {F}. and {R}ocque de la , {S}. and {F}ontenille, {D}idier and {B}aldet, {T}.},
  editor = {},
  language = {{ENG}},
  abstract = {{B}ackground: {A}lthough malaria disappeared from southern {F}rance more than 60 years ago, suspicions of recent autochthonous transmission in the {F}rench {M}editerranean coast support the idea that the area could still be subject to malaria transmission. {T}he main potential vector of malaria in the {C}amargue area, the largest river delta in southern {F}rance, is the mosquito {A}nopheles hyrcanus ( {D}iptera: {C}ulicidae). {I}n the context of recent climatic and landscape changes, the evaluation of the risk of emergence or re-emergence of such a major disease is of great importance in {E}urope. {W}hen assessing the risk of emergence of vector-borne diseases, it is crucial to be able to characterize the arthropod vector's spatial distribution. {G}iven that remote sensing techniques can describe some of the environmental parameters which drive this distribution, satellite imagery or aerial photographs could be used for vector mapping. {R}esults: {I}n this study, we propose a method to map larval and adult populations of {A}n. hyrcanus based on environmental indices derived from high spatial resolution imagery. {T}he analysis of the link between entomological field data on {A}n. hyrcanus larvae and environmental indices (biotopes, distance to the nearest main productive breeding sites of this species i.e., rice fields) led to the definition of a larval index, defined as the probability of observing {A}n. hyrcanus larvae in a given site at least once over a year. {I}ndependent accuracy assessments showed a good agreement between observed and predicted values (sensitivity and specificity of the logistic regression model being 0.76 and 0.78, respectively). {A}n adult index was derived from the larval index by averaging the larval index within a buffer around the trap location. {T}his index was highly correlated with observed adult abundance values ({P}earson r = 0.97, p < 0.05). {T}his allowed us to generate predictive maps of {A}n. hyrcanus larval and adult populations from the landscape indices. {C}onclusion: {T}his work shows that it is possible to use high resolution satellite imagery to map malaria vector spatial distribution. {I}t also confirms the potential of remote sensing to help target risk areas, and constitutes a first essential step in assessing the risk of re-emergence of malaria in southern {F}rance.},
  keywords = {},
  booktitle = {},
  journal = {{I}nternational {J}ournal of {H}ealth {G}eographics},
  volume = {7},
  numero = {9},
  pages = {26},
  ISSN = {1476-072{X}},
  year = {2008},
  DOI = {10.1186/1476-072{X}-7-9},
  URL = {https://www.documentation.ird.fr/hor/fdi:010042716},
}