TY -的A2 Gan Chenquan盟——刘、杨盟——刘Bingrui AU -邓,易盟——刘贾PY - 2022 DA - 2022/02/01 TI -定量分析COVID-19流行反应基于一种改进的SEIR-SD模型SP - 6221181六世- 2022 AB - 2019年末,COVID-19大流行开始在世界各地传播,造成数百万人死亡。在最初几个月的大流行,一些国家(如中国)成功阻止流行病的传播。相比之下,许多其他国家的流行没有控制好。例如,印度遇到第二个严重爆发COVID-19从2021年4月由于抵抗力差措施由政府实施。大流行的有效对策,本研究提出了一种COVID-19大流行及其反应系统,它由感染子系统、检疫子系统,子系统和医疗。在此基础上,改进SEIR-SD模型建立了利用定量分析流感大流行的应对措施。在武汉这个模型成功地模拟了实际的流行情况,验证其有效性。之后,医院管理的影响率、检疫率、平均联系电话,联系感染率在累积的感染和死亡人数由仿真分析。结果表明,医疗和管理工作,特别是在早期阶段的流行,显著减少感染的数量和缩短流行时期。在医学方面,更严格的检疫疫情的早些时候拐点; more importantly, improving the treatment rate significantly reduces the scale of the epidemic. In the administrative aspect, enforcing individual protection and strict community closure can effectively cut off the transmission of the virus and curb the spread of the epidemic. Finally, this research proposes several practical suggestions in response to the COVID-19 pandemic. The main contribution of this research is that the effects of different response measures on the number of new infections daily and the cumulative number of deaths of a country or region in the COVID-19 pandemic are estimated quantitatively based on modeling and simulation. SN - 1076-2787 UR - https://doi.org/10.1155/2022/6221181 DO - 10.1155/2022/6221181 JF - Complexity PB - Hindawi KW - ER -