@article{fdi:010079094,
  title = {{I}mpact of a community-based intervention on {A}edes aegypti and its spatial distribution in {O}uagadougou, {B}urkina {F}aso},
  author = {{B}onnet, {E}mmanuel and {F}ournet, {F}lorence and {B}enmarhnia, {T}. and {O}uedraogo, {S}. and {D}abire, {R}. and {R}idde, {V}al{\'e}ry},
  editor = {},
  language = {{ENG}},
  abstract = {{B}ackground {S}everal studies highlighted the impact of community-based interventions whose purpose was to reduce the vectors' breeding sites. {T}hese strategies are particularly interesting in low-and-middle-income countries which may find it difficult to sustainably assume the cost of insecticide-based interventions. {I}n this case study we determine the spatial distribution of a community-based intervention for dengue vector control using different entomological indices. {T}he objective was to evaluate locally where the intervention was most effective, using spatial analysis methods that are too often neglected in impact assessments. {M}ethods {T}wo neighbourhoods, {T}ampouy and {J}uvenat in {O}uagadougou, {B}urkina {F}aso, were chosen among five after a survey was conducted, as part of an assessment related to the burden of dengue. {A}s part of the community-based intervention conducted in {T}ampouy between {A}ugust and early {O}ctober 2016, an entomological survey was implemented in two phases. {T}he first phase consisted of a baseline entomological characterization of potential breeding sites in the neighbourhood of {T}ampouy as well as in {J}uvenat, the control area. {T}his phase was conducted in {O}ctober 2015 at the end of the rainy season. {T}he mosquito breeding sites were screened in randomly selected houses: 206 in {T}ampouy and 203 in {J}uvenat. {A} second phase took place after the intervention, in {O}ctober 2016. {T}he mosquito breeding sites were investigated in the same yards as during the baseline phase. {W}e performed several entomological analyses to measure site productivity as well as before and after analysis using multilevel linear regression. {W}e used {L}ocal {I}ndicators of {S}patial {A}ssociation ({LISA}s) to analyse spatial concentrations of larvae. {R}esults {A}fter the intervention, it is noted that {LISA}s at {T}ampouy reveal few aggregates of all types and the suppression of those existing before the intervention. {T}he analysis therefore reveals that the intervention made it possible to reduce the number of concentration areas of high and low values of pupae. {C}onclusions {T}he contribution of spatial methods for assessing community-based intervention are relevant for monitoring at local levels as a complement to epidemiological analyses conducted within neighbourhoods. {T}hey are useful, therefore, not only for assessment but also for establishing interventions. {T}his study shows that spatial analyses also have their place in population health intervention research.},
  keywords = {{V}ector-borne diseases ; {S}patial analysis ; {C}ommunity-based intervention ; {BURKINA} {FASO} ; {OUAGADOUGOU}},
  booktitle = {},
  journal = {{I}nfectious {D}iseases of {P}overty},
  volume = {9},
  numero = {1},
  pages = {61 [9 ]},
  ISSN = {2095-5162},
  year = {2020},
  DOI = {10.1186/s40249-020-00675-6},
  URL = {https://www.documentation.ird.fr/hor/fdi:010079094},
}