@article{fdi:010085933,
  title = {{M}obility evaluation by {GPS} tracking in a rural, low-income population in {C}ambodia},
  author = {{P}epey, {A}. and {O}badia, {T}. and {K}im, {S}. and {S}ovannaroth, {S}. and {M}ueller, {I}. and {W}itkowski, {B}. and {V}antaux, {A}. and {S}ouris, {M}arc},
  editor = {},
  language = {{ENG}},
  abstract = {{G}lobal {P}ositioning {S}ystem ({GPS}) technology is an effective tool for quantifying individuals' mobility patterns and can be used to understand their influence on infectious disease transmission. {I}n {C}ambodia, mobility measurements have been limited to questionnaires, which are of limited efficacy in rural environments. {I}n this study, we used {GPS} tracking to measure the daily mobility of {C}ambodian forest goers, a population at high risk of malaria, and developed a workflow adapted to local constraints to produce an optimal dataset representative of the participants' mobility. {W}e provide a detailed assessment of the {GPS} tracking and analysis of the data, and highlight the associated difficulties to facilitate the implementation of similar studies in the future.},
  keywords = {{CAMBODGE}},
  booktitle = {},
  journal = {{PL}o{S} {O}ne},
  volume = {17},
  numero = {5},
  pages = {e0266460 [12 ]},
  ISSN = {1932-6203},
  year = {2022},
  DOI = {10.1371/journal.pone.0266460},
  URL = {https://www.documentation.ird.fr/hor/fdi:010085933},
}