The development of predictive tools for pre-emptive dengue vector control: a study of Aedes aegypti abundance and meteorological variables in North Queensland, Australia
Autor(es): Azil Aishah H,Long Sharron A,Ritchie Scott A,Williams Craig R
Resumo: To describe the meteorological influences on adult dengue vector abundance in Australia for the development of predictive models to trigger pre-emptive control operation. Multiple linear regression analyses were performed using meteorological data and female Aedes aegypti collection data from BG-Sentinel Mosquito traps placed at 11 monitoring sites in Cairns, north Queensland. Considerable regression coefficients (R(2) = 0.64 and 0.61) for longer- and shorter-term factor models respectively were derived. Longer-term factors significantly associated with abundance of adult vectors were mean minimum temperature (lagged 6 month) and mean daily temperature (lagged 4 month), explaining the predictable increase in abundance during the wet season. Factors explaining fluctuation in abundance in the shorter term were mean relative humidity over the previous 2 weeks and current daily average temperature. Rainfall variables were not found to be strong predictors of A. aegypti abundance in either longer- or shorter-term models. The implications of these findings for the development of useful predictive models for vector abundance risks are discussed. Such models can be used to guide the application of pre-emptive dengue vector control, and thereby enhance disease management.
Palavras-Chave: Dengue; Aedes aegypti; Surveillance; Vector control; Predictive models
Imprenta: Tropical Medicine & International Health : TM & IH, v. 15, n. 10, p. 1190-1197, 2010
Identificador do objeto digital: 10.1111/j.1365-3156.2010.02592.x
Descritores: Aedes aegypti - Dengue ; Aedes aegypti - Public health
Data de publicação: 2010
