@article{fdi:010064825,
  title = {{T}ypes of homes and ways of life : a territorial analysis of the environmental determinants that factor into the proliferation of malaria vectors in the rural region of {A}llada in {B}enin},
  author = {{L}ysaniuk, {B}. and {L}adsous, {R}. and {T}abeaud, {M}. and {C}ottrell, {G}illes and {P}ennetier, {C}{\'e}dric and {G}arcia, {A}ndr{\'e}},
  editor = {},
  language = {{ENG}},
  abstract = {{I}ntroduction: {A}nthropogenic factors, as well as environmental factors, can explain fine-scale spatial differences in vector densities and seasonal variations in malaria. {I}n this pilot study, numbers of {A}nopheles gambiae were quantified in concessions in a rural area of southern {B}enin, {W}est {A}frica, in order to establish whether vector number and human factors, such as habitat and living practices, are related. {M}ethods: {T}he courtyard homes of 64 concessions (houses and private yards) were systematically and similarly photographed. {P}redefined features in the photographed items were extracted by applying an analysis grid that listed vector resting sites or potential breeding sites and also more general information about the building materials used. {T}hese data were analysed with respect to entomological data (number of mosquitoes caught per night) using the {K}ruskal-{W}allis test, {P}earson correlation coefficients, and analysis of covariance ({ANCOVA}). {R}esults: {T}hree recurrent habitat/household types and living practices were identified that corresponded to different standards of living. {T}hese were related to the average number of mosquitoes captured per night: type {I}=0.88 anopheles/night; type {II}=0.85; and type {III} 0.55, but this was not statistically significant ({K}ruskal-{W}allis test; p=0.41). {T}here were no significant relationships between the number of potential breeding sites and number of mosquitoes caught ({P}earson's correlation coefficient=-0.09, p=0.53). {ANCOVA} analysis of building materials and numbers of openings did not explain variation in the number of mosquitoes caught. {C}onclusions: {T}hree dwelling types were identified by using predetermined socio-environmental characteristics but there was no association found in this study between vector number and habitat characteristics as was suspected.},
  keywords = {{A}nopheles gambiae ; {B}enin ; housing ; infectious disease vectors ; malaria ; {BENIN}},
  booktitle = {},
  journal = {{R}ural and {R}emote {H}ealth},
  volume = {15},
  numero = {1},
  pages = {art. 2696 [15 p.]},
  ISSN = {1445-6354},
  year = {2015},
  URL = {https://www.documentation.ird.fr/hor/fdi:010064825},
}