论文标题
COVID-19大流行中的可持续边界控制政策:数学建模研究
Sustainable Border Control Policy in the COVID-19 Pandemic: A Math Modeling Study
论文作者
论文摘要
进口的Covid-19案件,如果不受组织,可能会危及国内遏制的努力。我们旨在找出在重新开放阶段中存在哪些可持续的边境控制选择(例如,国家,国家),鉴于自己选择国内控制措施和新技术,例如接触跟踪。我们提出了一个SUIHR模型,该模型代表了离散时间SIR模型的扩展。该模型侧重于研究病毒的扩散,主要是通过无症状和症状前患者研究。进口风险和(1层)接触跟踪都内置在模型中。在合理的参数假设下,我们寻求可持续的边境控制政策,并结合足够的内部措施,这使实体可以将病毒限制在无需恢复到更严格的生活方式或依靠群群免疫力的情况下。当Covid-19的基本繁殖数量超过2.5时,即使是100%有效的接触跟踪,也不足以包含扩散。对于一个完全消除了国内病毒并恢复“正常”的实体,到达时非常严格的前部筛查,测试和隔离结合有效接触追踪只能将另一次暴发延迟6个月。但是,如果总进口案件是非进口案件,并且该实体采用限制国内控制政策,那么即使没有边境控制,总案件也可以包含。
Imported COVID-19 cases, if unchecked, can jeopardize the effort of domestic containment. We aim to find out what sustainable border control options for different entities (e.g., countries, states) exist during the reopening phases, given their own choice of domestic control measures and new technologies such as contact tracing. We propose a SUIHR model, which represents an extension to the discrete time SIR models. The model focuses on studying the spreading of virus predominantly by asymptomatic and pre-symptomatic patients. Imported risk and (1-tier) contact tracing are both built into the model. Under plausible parameter assumptions, we seek sustainable border control policies, in combination with sufficient internal measures, which allow entities to confine the virus without the need to revert back to more restrictive life styles or to rely on herd immunity. When the base reproduction number of COVID-19 exceeds 2.5, even 100% effective contact tracing alone is not enough to contain the spreading. For an entity that has completely eliminated the virus domestically, and resumes "normal", very strict pre-departure screening and test and isolation upon arrival combined with effective contact tracing can only delay another outbreak by 6 months. However, if the total net imported cases are non-increasing, and the entity employs a confining domestic control policy, then the total new cases can be contained even without border control.