ABSTRACT
Arboviruses transmitted by Aedes aegypti such as dengue, chikungunya, zika and yellow fever have affected a growing part of the world population over the years. Since there are no vaccines for all arboviruses transmitted by this vector, population vector control is the approach considered feasible to reduce the spread of arboviruses. The presente work has the goal of studying and comparing the efficacy of three mechanical control applications in the immature population (eggs, larvae and pupae) and to perform three chemical control applications on the population of females in the oviposition phase of A. aegypti. The control is applied during 7 days in different times of the year: Spring-Summer, Summer and Summer-Autumn. The entomological model that describes the dynamics of the phases of A. aegypti has precipitation-dependent parameters. The population of females in the oviposition phase of the model was confronted with sample data of Mean Female Aedes Index collected through 245 traps MosquiTRAP® scattered in the urban area of the city of Lavras. The Real-Biased Genetic Algorithm was used in order to optimize the intensity and the initial time of application of the step control in relation to control costs and costs related to mosquito infestation. During the application of the three forms of control interventions, the number of mosquitoes decreased over time and the summer-autumn intervention presented the best efficiency and the lowest cost. In addition, the number of mosquito basal offspring had a negative impact on the parameters related to mortality and an opposite impact of the other entomological parameters of the mosquito.
Keywords:
Control; Aedes aegypti; Real-Biased Genetic Algorithm
