title: Modeling the Effects of Augmentation Strategies on the Control of Dengue Fever With an Impulsive Differential Equation.
abstract: Dengue fever has rapidly become the world's most common vector-borne viral disease. Use of endosymbiotic Wolbachia is an innovative technology to prevent vector mosquitoes from reproducing and so break the cycle of dengue transmission. However, strategies such as population eradication and replacement will only succeed if appropriate augmentations with Wolbachia-infected mosquitoes that take account of a variety of factors are carried out. Here, we describe the spread of Wolbachia in mosquito populations using an impulsive differential system with four state variables, incorporating the effects of cytoplasmic incompatibility and the augmentation of Wolbachia-infected mosquitoes with different sex ratios. We then evaluated (a) how each parameter value contributes to the success of population replacement; (b) how different release quantities of infected mosquitoes with different sex ratios affect the success of population suppression or replacement; and (c) how the success of these two strategies can be realized to block the transmission of dengue fever. Analysis of the system's stability, bifurcations and sensitivity reveals the existence of forward and backward bifurcations, multiple attractors and the contribution of each parameter to the success of the strategies. The results indicate that the initial density of mosquitoes, the quantities of mosquitoes released in augmentations and their sex ratios have impacts on whether or not the strategies of population suppression or replacement can be achieved. Therefore, successful strategies rely on selecting suitable strains of Wolbachia and carefully designing the mosquito augmentation program.
authors.affiliation: School of Mathematics and Information Science, Shaanxi Normal University, Xi'an, 710062, People's Republic of China.
authors.forename: Xianghong
authors.initials: X
authors.lastname: Zhang
authors.affiliation: School of Mathematics and Information Science, Shaanxi Normal University, Xi'an, 710062, People's Republic of China. sytang@snnu.edu.cn.
authors.forename: Sanyi
authors.initials: S
authors.lastname: Tang
authors.affiliation: Natural Resources Institute, University of Greenwich at Medway, Central Avenue, Chatham Maritime, Chatham, Kent, ME4 4TB, UK.
authors.forename: Robert A
authors.initials: RA
authors.lastname: Cheke
authors.affiliation: LAMPS, Department of Mathematics and Statistics, York University, Toronto, ON, M3J 1P3, Canada.
authors.forename: Huaiping
authors.initials: H
authors.lastname: Zhu
mesh_terms: D000330:Aedes / Q000382:microbiology / Q000821:virology; D000818:Animals; D061046:Biological Control Agents; D003198:Computer Simulation; D003715:Dengue / Q000517:prevention & control* / Q000635:transmission; D005260:Female; D006801:Humans; D008297:Male; D055641:Mathematical Concepts; D008954:Models, Biological; D000072138:Mosquito Vectors / Q000382:microbiology / Q000821:virology; D012744:Sex Ratio; D020577:Wolbachia / Q000502:physiology
chemical_list: D061046:Biological Control Agents
keywords: Bifurcation; Dengue fever; Mosquito augmentation; Wolbachia-infected mosquitoes