Lysaniuk B., Ladsous R., Tabeaud M., Cottrell Gilles, Pennetier Cédric, Garcia André. (2015). Types 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 Allada in Benin. Rural and Remote Health, 15 (1), p. art. 2696 [15 p.]. ISSN 1445-6354.
Titre du document
Types 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 Allada in Benin
Lysaniuk B., Ladsous R., Tabeaud M., Cottrell Gilles, Pennetier Cédric, Garcia André
Source
Rural and Remote Health, 2015,
15 (1), p. art. 2696 [15 p.] ISSN 1445-6354
Introduction: Anthropogenic factors, as well as environmental factors, can explain fine-scale spatial differences in vector densities and seasonal variations in malaria. In this pilot study, numbers of Anopheles gambiae were quantified in concessions in a rural area of southern Benin, West Africa, in order to establish whether vector number and human factors, such as habitat and living practices, are related. Methods: The courtyard homes of 64 concessions (houses and private yards) were systematically and similarly photographed. Predefined 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. These data were analysed with respect to entomological data (number of mosquitoes caught per night) using the Kruskal-Wallis test, Pearson correlation coefficients, and analysis of covariance (ANCOVA). Results: Three recurrent habitat/household types and living practices were identified that corresponded to different standards of living. These 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 (Kruskal-Wallis test; p=0.41). There were no significant relationships between the number of potential breeding sites and number of mosquitoes caught (Pearson'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. Conclusions: Three 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.
Plan de classement
Sciences du milieu [021]
;
Entomologie médicale / Parasitologie / Virologie [052]
