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Mathematical model for plant disease dynamics with curative and preventive treatments

机译:植物疾病动力学的数学模型,具有治疗方法和预防治疗

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An increasing number of world population leads to an increase need of food. However, plant disease 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 analyse the effect of disease control strategies. In this paper, we develop a deterministic mathematical model where the plant population is divided into five compartments: Susceptible, Exposed, Infection, Post-Infectious (Removed), and Protected. We include the preventive and curative treatments in the model and analyse 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. We found that implementing preventive and curative treatments simultaneously can help in reducing number of infected plants.
机译:越来越多的世界人口导致增加食物的需求。然而,植物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。在本文中,我们开发了一个确定性的数学模型,其中植物群分分为五个隔间:易感,暴露,感染,传染后(除去)和保护。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。我们发现实施预防和治疗治疗同时可以帮助减少受感染植物的数量。

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