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Analysis of Blocking Population Flow to Control COVID-19 in Multi-regions Based on Discrete SEIR Epidemic Model

机译:基于离散SEIR流行病模型的多地区阻塞人口流控制COVID-19的分析

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With the rapid spread of COVID-19, many people in China are infected, so the government has taken some actions to prevent it from getting worse. However, one of these actions—controlling population flow (also called travel blocking)—has some negative impacts on the citizens’ daily life and China’s economy. Therefore, the balance between the two and the degree to control population flow should be discussed. This research uses SEIR model to simulate the flow between regions with input of the data from three regions, and each region has regional parametric variation. Next, the analysis of the situation of having no population flow, having regular population flow, and having population flow with control is made based on the parameters of the outcomes. After getting the result of the model, an effective way of control is proposed based on analysis and comparison of the cases. At last, test is made on new control strategy. It is concluded that travel blocking should be made between regions that have great infectious rate difference.
机译:随着COVID-19的迅速传播,中国有许多人被感染,因此政府已采取了一些措施来防止其恶化。但是,控制人口流动(也称为旅行阻塞)是其中一项行动,对公民的日常生活和中国经济产生了一些负面影响。因此,应该讨论两者之间的平衡以及控制人口流动的程度。这项研究使用SEIR模型,通过输入来自三个区域的数据来模拟区域之间的流动,并且每个区域都有区域参数变化。接下来,基于结果的参数,分析不存在人口流动,具有规则的人口流动以及具有受控的人口流动的情况。在得到模型结果后,通过对案例的分析和比较,提出了一种有效的控制方法。最后,对新的控制策略进行了测试。结论是,应在传染率差异较大的区域之间进行旅行阻塞。

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