title: A comparative analysis of the relative efficacy of vector-control strategies against dengue fever.
abstract: Dengue is considered one of the most important vector-borne infection, affecting almost half of the world population with 50 to 100 million cases every year. In this paper, we present one of the simplest models that can encapsulate all the important variables related to vector control of dengue fever. The model considers the human population, the adult mosquito population and the population of immature stages, which includes eggs, larvae and pupae. The model also considers the vertical transmission of dengue in the mosquitoes and the seasonal variation in the mosquito population. From this basic model describing the dynamics of dengue infection, we deduce thresholds for avoiding the introduction of the disease and for the elimination of the disease. In particular, we deduce a Basic Reproduction Number for dengue that includes parameters related to the immature stages of the mosquito. By neglecting seasonal variation, we calculate the equilibrium values of the model's variables. We also present a sensitivity analysis of the impact of four vector-control strategies on the Basic Reproduction Number, on the Force of Infection and on the human prevalence of dengue. Each of the strategies was studied separately from the others. The analysis presented allows us to conclude that of the available vector control strategies, adulticide application is the most effective, followed by the reduction of the exposure to mosquito bites, locating and destroying breeding places and, finally, larvicides. Current vector-control methods are concentrated on mechanical destruction of mosquitoes' breeding places. Our results suggest that reducing the contact between vector and hosts (biting rates) is as efficient as the logistically difficult but very efficient adult mosquito's control.
authors.affiliation: School of Veterinary Medicine, University of São Paulo, Av. Prof. Orlando Marques de Paiva, 87, Cidade Universitária, São Paulo, SP, 05508-270, Brazil.
authors.forename: Marcos
authors.initials: M
authors.lastname: Amaku
authors.forename: Francisco Antonio Bezerra
authors.initials: FA
authors.lastname: Coutinho
authors.forename: Silvia Martorano
authors.initials: SM
authors.lastname: Raimundo
authors.forename: Luis Fernandez
authors.initials: LF
authors.lastname: Lopez
authors.forename: Marcelo
authors.initials: M
authors.lastname: Nascimento Burattini
authors.forename: Eduardo
authors.initials: E
authors.lastname: Massad
mesh_terms: D000330:Aedes / Q000821:virology; D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D003715:Dengue / Q000453:epidemiology / Q000517:prevention & control* / Q000635:transmission; D006801:Humans; D007303:Insect Vectors / Q000821:virology; D007306:Insecticides; D055641:Mathematical Concepts; D008954:Models, Biological; D009010:Monte Carlo Method; D009032:Mosquito Control / Q000379:methods* / Q000706:statistics & numerical data
chemical_list: D007306:Insecticides