In this paper, we developed a model that suggests the use of robots in identifying COVID-19-positive patients and which studied the effectiveness of the government policy of prohibiting migration of individuals into their countries especially from those countries that were known to have COVID-19 epidemic. Two compartmental models consisting of two equations each were constructed. The models studied the use of robots for the identification of COVID-19-positive patients. The effect of migration ban strategy was also studied. Four biologically meaningful equilibrium points were found. Their local stability analysis was also carried out. Numerical simulations were carried out, and the most effective strategy to curtail the spread of the disease was shown.

中文翻译：

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研究减少COVID-19传播的某些策略有效性的数学模型

在本文中，我们开发了一个模型，该模型建议使用机器人来识别COVID-19阳性患者，并研究了政府禁止个人特别是从已知患有COVID- 19种流行病。构造了两个分别由两个方程组成的隔室模型。该模型研究了使用机器人识别COVID-19阳性患者的方法。还研究了禁止移民战略的效果。发现了四个生物学上有意义的平衡点。他们还进行了局部稳定性分析。进行了数值模拟，并显示了减少疾病传播的最有效策略。