@article{fdi:010082622,
  title = {{H}ousehold sampling through geocoded points and satellite view : a step-by-step approach to implement a spatial sampling method for demographic and health surveys in areas without population sampling frame and with limited resource settings},
  author = {{A}petoh, {E}. and {R}oquet, {F}. and {P}alstra, {F}. and {B}axerres, {C}arine and {L}e {H}esran, {J}ean-{Y}ves},
  editor = {},
  language = {{ENG}},
  abstract = {{I}ntroduction. - {S}patial sampling is increasingly used in health surveys as it provides a simple way to randomly select target populations on sites where reliable and complete data on the general population are not available. {H}owever, the previously implemented protocols have been poorly detailed, making replication difficult or even impossible. {T}o our knowledge, ours is the first document describing step-by-step an efficient spatial sampling method for health surveys. {O}ur objective is to facilitate the rapid acquisition of the technical skills and know-how necessary for its deployment. {M}ethods. - {T}he spatial sampling design is based on the random generation of geocoded points in the study area. {A}fterwards, these points were projected on the satellite view of {G}oogle {E}arth {P}ro ({TM}) software and the identified buildings were selected for field visits. {A} detailed formula of the number of points required, considering non-responses, is proposed. {D}ensity of buildings was determined by drawing circles around points and by using a replacement strategy when interviewing was unachievable. {T}he method was implemented for a cross-sectional study during the {A}pril-{M}ay 2016 period in {C}otonou ({B}enin). {T}he accuracy of the collected data was assessed by comparing them to those of the {C}otonou national census. {R}esult. - {T}his approach does not require prior displacement in the study area and only 1% of identified buildings with {G}oogle {E}arth {P}ro ({TM}) were no longer extant. {M}ost of the measurements resulting from the general census were within the confidence intervals of those calculated with the sample data. {F}urthermore, the range of measurements resulting from the general census was similar to those calculated with the sample data. {T}hese include, for example, the proportion of the foreign population (unweighted 8.9%/weighted 9% versus 8.5% in census data), the proportion of adults over 17 years of age (56.7% versus 57% in census data), the proportion of households whose head is not educated (unweighted 21.9%/weighted 22.8% versus 21.1% in census data). {C}onclusion. - {T}his article illustrates how an epidemiological field survey based on spatial sampling can be successfully implemented at low cost, quickly and with little technical and theoretical knowledge. {W}hile statistically similar to simple random sampling, this survey method greatly simplifies its implementation.},
  keywords = {{G}lobal {P}ositioning {S}ystem ({GPS}) ; {G}eographic {I}nformation {S}ystem ({GIS}) ; {G}eographical coordinates ; {H}ouseholds ; {S}atellite view ; {S}patial sampling ; {BENIN} ; {COTONOU}},
  booktitle = {},
  journal = {{R}evue d'{E}pid{\'e}miologie et de {S}ant{\'e} {P}ublique},
  volume = {69},
  numero = {4},
  pages = {173--182},
  ISSN = {0398-7620},
  year = {2021},
  DOI = {10.1016/j.respe.2021.04.140},
  URL = {https://www.documentation.ird.fr/hor/fdi:010082622},
}