Risk of COVID-19 infection and prevention and control strategies in universities

Hang Shang, Wenbo Liu, Yuhuan Li
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Abstract

At the beginning of 2020, a sudden COVID-19 outbreak swept the world. So far, more than 300 million people worldwide have been infected with COVID-19 virus. Although the successful development of the COVID-19 virus vaccine has brought a great turnaround to the early stage of epidemic prevention and control.However, when the discovery of asymptomatic infected people, cold chain transmission routes, the emergence of novel coronavirus mutation and many other situations, the world faces new challenges.As a place with dense personnel flow and frequent contact in universities, infection cases will be more prone to the rapid spread of the epidemic, causing very serious social problems.Studying the relationship between the transmission rate of the campus epidemic and the prevention and control measures is the need of formulating efficient campus epidemic prevention and control strategies.Prediction the spread of novel coronavirus using the infectious disease model is an important means to study the spread of COVID-19 and make prevention and control decisions.This study mainly studied the risk of infection and prevention and control strategies.In the aspect of infection risk analysis, with the student dormitory of a university as the research object, five levels of campus epidemic prevention and control strategies were first established, and then through the establishment of healthy person-infection (SI) infection model based on statistics and probability judgment, the transmission speed of the epidemic under different epidemic prevention strategies was investigated.Then, the diffusion situation of the epidemic was simulated. Taking two dormitory buildings A and B as an example, the simulation results of dormitory students under vaccination and non-vaccination and different levels of prevention and control measures were analyzed to find out the key factors for the prevention and control of the epidemic.To provide help for the implementation of epidemic prevention and control strategies in colleges and universities.
高校新冠肺炎感染风险及防控策略
2020年初,一场突如其来的新冠肺炎疫情席卷全球。到目前为止,全球已有3亿多人感染了COVID-19病毒。尽管新冠病毒疫苗研制成功,为疫情防控初期带来了巨大转机。然而,当无症状感染者的发现、冷链传播途径的出现、新型冠状病毒突变等诸多情况出现时,世界面临着新的挑战。高校作为人员流动密集、接触频繁的地方,感染病例将更容易出现疫情快速传播,造成非常严重的社会问题。研究校园疫情传播率与防控措施之间的关系,是制定高效校园疫情防控策略的需要。利用传染病模型预测新型冠状病毒的传播是研究新型冠状病毒传播规律,制定防控决策的重要手段。本研究主要研究感染风险及防控策略。在感染风险分析方面,以某高校学生宿舍为研究对象,首先建立了5个层次的校园疫情防控策略,然后通过建立基于统计和概率判断的健康人感染(SI)感染模型,考察了不同疫情防控策略下疫情的传播速度。然后,模拟了疫情的扩散情况。以A、B两栋宿舍楼为例,分析宿舍楼学生在接种疫苗和未接种疫苗以及不同防控措施水平下的模拟结果,找出疫情防控的关键因素。为高校实施疫情防控战略提供帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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