School of Economics and Management, Beihang University, Beijing 100191, China.
Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operation, Beijing 100191, China.
Int J Environ Res Public Health. 2022 Dec 4;19(23):16222. doi: 10.3390/ijerph192316222.
Nonpharmaceutical policies for epidemic prevention and control have been extensively used since the outbreak of COVID-19. Policies ultimately work by limiting individual behavior. The aim of this paper is to evaluate the effectiveness of policies by combining macro nonpharmaceutical policies with micro-individual going-out behavior. For different going out scenarios triggered by individual physiological safety needs, friendship needs, and family needs, this paper categorizes policies with significant differences in intensity, parameterizes the key contents of the policies, and simulates and analyzes the effectiveness of the policies in different going-out scenarios with simulation methods. The empirical results show that enhancing policy intensity can effectively improve policy effectiveness. Among different types of policies, restricting the times of going out is more effective. Further, the effect of controlling going out based on physiological safety needs is better than other needs. We also evaluate the policy effectiveness of 26 global countries or regions. The results show that the policy effectiveness varies among 26 countries or regions. The quantifiable reference provided by this study facilitates decision makers to establish policy and practices for epidemic prevention and control.
自 COVID-19 爆发以来,非药物性防疫政策得到了广泛应用。政策最终通过限制个人行为来发挥作用。本文旨在通过将宏观非药物性政策与微观个体外出行为相结合,评估政策的有效性。对于个体生理安全需求、友谊需求和家庭需求引发的不同外出情景,本文对强度存在显著差异的政策进行分类,对政策的关键内容进行参数化,并利用模拟方法对不同外出情景下的政策效果进行模拟和分析。实证结果表明,增强政策强度可以有效提高政策效果。在不同类型的政策中,限制外出次数更为有效。此外,基于生理安全需求控制外出的效果优于其他需求。我们还评估了全球 26 个国家或地区的政策效果。结果表明,26 个国家或地区的政策效果存在差异。本研究提供的可量化参考为决策者制定防疫政策和实践提供了便利。