Favier Charly, Dégallier Nicolas, Ribeiro Vilarinhos P.D.T., de Carvalho M.D.L., Cavalcanti Yoshizawa M.A., Knox M.B. (2006). Effects of climate and different management strategies on Aedes aegypti breeding sites : a longitudinal survey in Brasilia (DF, Brazil). Tropical Medicine and International Health, 11 (7), p. 1104-1118. ISSN 1360-2276.
Titre du document
Effects of climate and different management strategies on Aedes aegypti breeding sites : a longitudinal survey in Brasilia (DF, Brazil)
Tropical Medicine and International Health, 2006,
11 (7), p. 1104-1118 ISSN 1360-2276
OBJECTIVE To determine the influence of climate and of environmental vector control with or without insecticide on Aedes aegypti larval indices and pupae density. METHODS An 18-month longitudinal survey of infestation of Ae. aegypti immature stages was conducted for the 1015 residences (premises) of Vila Planalto, an area of Brasilia where the Breteau Index was about 40 before the study. This area was divided into five zones: a control zone with environmental management alone and four zones with insecticide treatment (methoprene, Bti, temephos). We tested for significant differences between infestation levels in the control and insecticide-treated areas, for relationships between climatic variables and larval indices, and to determine risk factors of infestation for certain types of premises and containers. RESULTS Environmental vector control strategies dramatically decreased infestation in the five areas. No significant differences could be detected between control strategies with insecticide and without. Some premises and container types were particularly suitable for breeding. The influence of climate on the emergence of Ae. aegypti adults for the area is described. CONCLUSION In a moderately infested area such as Brasilia, insecticides do not improve environmental vector control. Rather, infestations could be further reduced by focusing on residences and containers particularly at risk. The nature of the link between climate and larval population should be investigated in larger-scale studies before being used in forecasting models.