群体免疫对新冠病毒传播数学模型的分析

Mia Siti Khumaeroh, A. Firdaus
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引用次数: 1

摘要

世界上许多国家,特别是印度尼西亚,尽管政府实施了许多政策,如呼吁自我预防、保持身体距离、隔离和在一些地区实施大规模社会限制(LSSR),但Covid-19病例数量仍在增加。除卫生部门外,这种行为或活动的变化也对教育、旅游、经济等其他部门产生重大影响。群体免疫,即对人群中的一群人进行治疗,使他们的身体对病毒产生抵抗力,成为结束Covid-19大流行的另一种选择。在这项研究中,我们分析了一个涉及群体免疫因素的冠状病毒传播的数学模型。有两种方案:(1)使用疫苗;(2)允许病毒在人群中传播,结果是受感染人群具有免疫力。模拟结果表明,疫苗的使用可以大大减少感染个体的数量。另一方面,缺乏对病毒传播的控制会增加接触和感染的人数。但是,从时间上看,这一方案将比其他方案更快地使Covid-19病例减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Herd Immunity on the Mathematical Model of Covid-19 Transmission
Many countries in the world, especially Indonesia, are still experiencing an increase number of Covid-19 cases despite the government has implemented many policies, such as an appeal for self-prevention, physical distancing, quarantine and large-scale social restrictions (LSSR) in several areas. Besides the health sector, this change in behavior or activity also has a major impact on other sectors such as education, tourism, economy etc. Herd Immunity, where a group in the population is given a treatment so that their body will be resistant to the virus, becomes another alternative to end this Covid-19 pandemic. In this study, we analyzed a mathematical model of corona virus transmission by involving the herd immunity factor. There are two schemes: (1) by using vaccines and (2) by allowing the virus to spread in the population and the result is the infected population have the immunity. The simulation results show that the use of vaccines can drastically reduce the number of infected individuals. On the other hand, the absence of virus transmission control can increase the number of exposed and infected individuals. However, in terms of time, this scheme will make Covid-19 cases decrease faster than other schemes.
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