@article{fdi:010080650,
  title = {{P}redicting the presence of leptospires in rodents from environmental indicators opens up opportunities for environmental monitoring of human leptospirosis},
  author = {{B}iscornet, {L}. and {R}evillion, {C}. and {J}ego, {S}ylvaine and {L}agadec, {E}. and {G}omard, {Y}. and {L}e {M}inter, {G}. and {R}ocamora, {G}. and {G}uernier-{C}ambert, {V}. and {M}elade, {J}. and {D}ellagi, {K}. and {T}ortosa, {P}. and {H}erbreteau, {V}incent},
  editor = {},
  language = {{ENG}},
  abstract = {{L}eptospirosis, an environmental infectious disease of bacterial origin, is the infectious disease with the highest associated mortality in {S}eychelles. {I}n small island territories, the occurrence of the disease is spatially heterogeneous and a better understanding of the environmental factors that contribute to the presence of the bacteria would help implement targeted control. {T}he present study aimed at identifying the main environmental parameters correlated with animal reservoirs distribution and {L}eptospira infection in order to delineate habitats with highest prevalence. {W}e used a previously published dataset produced from a large collection of rodents trapped during the dry and wet seasons in most habitats of {M}ahe, the main island of {S}eychelles. {A} land use/land cover analysis was realized in order to describe the various environments using {SPOT}-5 images by remote sensing (object-based image analysis). {A}t each sampling site, landscape indices were calculated and combined with other geographical parameters together with rainfall records to be used in a multivariate statistical analysis. {S}everal environmental factors were found to be associated with the carriage of leptospires in {R}attus rattus and {R}attus norvegicus, namely low elevations, fragmented landscapes, the proximity of urbanized areas, an increased distance from forests and, above all, increased precipitation in the three months preceding trapping. {T}he analysis indicated that {L}eptospira renal carriage could be predicted using the species identification and a description of landscape fragmentation and rainfall, with infection prevalence being positively correlated with these two environmental variables. {T}his model may help decision makers in implementing policies affecting urban landscapes and/or in balancing conservation efforts when designing pest control strategies that should also aim at reducing human contact with {L}eptospira-laden rats while limiting their impact on the autochthonous fauna.},
  keywords = {leptospirosis ; rodents ; {R}attus rattus ; {R}attus norvegicus ; spatial analysis ; remote sensing ; landscape metrics ; satellite ; ecology ; {SEYCHELLES} ; {MAHE}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {13},
  numero = {2},
  pages = {325 [19 p.]},
  year = {2021},
  DOI = {10.3390/rs13020325},
  URL = {https://www.documentation.ird.fr/hor/fdi:010080650},
}