| Literature DB >> 31161558 |
Abstract
In this paper, we formulate a new [Formula: see text] infection model in a two-sex mosquito population with stage structure. Some key factors of [Formula: see text] infection, including cytoplasmic incompatibility (CI), male killing (MK) effect, maternal transmission, fecundity cost due to fitness effect and different mortality rates for infected individuals, are captured. Dynamical analysis has been carried out, and the basic reproduction number [Formula: see text] for [Formula: see text] infection has been calculated. Our analysis shows that [Formula: see text] can establish in a mosquito population if [Formula: see text] is greater than unity. If [Formula: see text] is less than unity, [Formula: see text] establishment still can be achieved if backward bifurcation occurs. Under this circumstance, the initial values lying in the basin of attraction of the stable [Formula: see text]-established equilibrium are essential to guarantee [Formula: see text] establishment. In particular, the method to find the basin of attraction and evaluate the threshold initial values is given. Besides, according to a comparison of different releasing strategies, it is shown that, from the perspective of economy and disease control, keeping the number of infected female mosquitoes to a necessary minimum by relying on higher number of male mosquitoes released is a desirable strategy. Moreover, global and local sensitivity analysis and numerical simulation have been performed to explore the impact of model parameters to the success of population establishment. Our results suggest that low levels of MK effect and fitness costs as well as high levels of CI and maternal inheritance are in favor of [Formula: see text] establishment. Moreover, not considering MK effect and incomplete CI effect may result in the underestimation of the number of infected mosquitoes needed to be released.Entities:
Keywords: Backward bifurcation; Mosquito population; Releasing strategy; Sensitivity analysis; Two-sex model
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Year: 2019 PMID: 31161558 DOI: 10.1007/s11538-019-00620-1
Source DB: PubMed Journal: Bull Math Biol ISSN: 0092-8240 Impact factor: 1.758