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Disease dynamics with curative and preventive treatments in a two-stage plant disease model

机译:双阶段植物疾病模型中疾病动态及预防治疗

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Due to an increase number of human population, food security becomes an important issue. In this situation, agriculture plays an important role. The staple foods are mostly extracted from plants. However, plant diseases can reduce the production and quality of food. Therefore, understanding plant disease dynamics is important as it can provide insightful knowledge on plant disease transmission. A mathematical model can be used to investigate plant disease dynamics and analyze the effect of disease control strategies. Most mathematical models have assumed that the plant population is divided into five compartments: Susceptible-, Exposed-, Infectious-, Post-Infectious-, and Protected-plant subpopulations. It also has been assumed that infection is only coming from the infectious class. However, in some cases, it is possible that an infection can be caused by the exposed class in a slightly lower rate. In this paper we consider these differential infection rates. We include preventive and curative treatments in the model and analyze their effects on plant disease transmission dynamics. We analytically determine the equilibrium points and epidemic threshold conditions. Several numerical simulations are given to support the analytical results and to compare the results to those in existing literature.
机译:由于人口数量增加,粮食安全成为一个重要问题。在这种情况下,农业发挥着重要作用。主食是从植物中提取的。然而,植物疾病可以减少食物的生产和质量。因此,了解植物疾病动态很重要,因为它可以为植物疾病传播提供富有洞察力的知识。数学模型可用于调查植物疾病动力学并分析疾病控制策略的影响。大多数数学模型都假设植物群分分为五个隔间:易感,暴露,传染性,传染后,和受保护的植物群。还假设感染仅来自传染性课程。然而,在某些情况下,可能的感染可能是由暴露的阶级以略微较低的速率引起的。在本文中,我们考虑了这些差异感染率。我们包括模型中的预防性和治疗方法,并分析它们对植物疾病传播动力学的影响。我们分析了确定均衡点和疫情阈值条件。提供了几种数值模拟来支持分析结果,并将结果与​​现有文献中的结果进行比较。

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