Impact of Seasonality and Vertical Transmission on Mosquito Population in the Dynamics of Dengue Disease

A. Alsheri
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Abstract

Many epidemic diseases are season-related. Dengue is one of them. Since it is associated with a mosquito’s life cycle, it is genuinely affected by weather changes. In this paper, we model the dynamics of dengue disease transmission in the human population using two systems of delay differential equations. First, we carry out the modeling with the vertical transmission in the mosquito population and demonstrate its basic properties. Then, we implement the seasonality effect in a second model by choosing some of the parameters that are affected by weather changes to be periodically time-dependent and re-deriving these parameters. We illustrate the conditions when the disease-free periodic solution is locally asymptotically stable and when it is unstable. Simulations in this case were compatible with the theoretical results.
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登革热病动态中季节性和垂直传播对蚊子数量的影响
许多流行病都与季节有关。登革热就是其中之一。由于登革热与蚊子的生命周期有关,它确实会受到天气变化的影响。在本文中,我们使用两个延迟微分方程系统来模拟登革热病在人群中的传播动态。首先,我们建立了蚊群垂直传播模型,并证明了其基本特性。然后,我们在第二个模型中实现了季节性效应,方法是选择一些受天气变化影响的参数,使其周期性地与时间相关,并重新推导这些参数。我们说明了无病周期解局部渐近稳定和不稳定的条件。这种情况下的模拟结果与理论结果一致。
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