Optimal social distancing in pandemic preparedness and lessons from COVID-19: Intervention intensity and infective travelers

IF 1.9 4区 数学 Q2 BIOLOGY
Alberto Landi , Giulio Pisaneschi , Marco Laurino , Piero Manfredi
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引用次数: 0

Abstract

Our analysis seeks best social distancing strategies optimally balancing the direct costs of a threatening outbreak with its societal-level costs by investigating the effects of different levels of restrictions’ intensity and of the continued importation of infective travellers, while controlling for the key dimensions of the response, such as early action, adherence and the relative weight of societal costs. We identify two primary degrees of freedom in epidemic control, namely the maximum intensity of control measures and their duration. In the absence of travellers, a lower (higher) maximum intensity requires a longer (shorter) duration to achieve similar control outcomes. However, uncontrollable external factors, like the importation of undetected infectives, significantly constrain these degrees of freedom so that the optimal strategy results to be one with low/moderate intensity but prolonged in time. These findings underscore the necessity for resilient health systems and coordinated global responses in preparedness plans.
大流行防范中的最佳社交距离和2019冠状病毒病的教训:干预强度和感染旅行者。
我们的分析寻求最佳的社会距离策略,通过调查不同程度的限制强度和持续输入感染旅行者的影响,同时控制应对措施的关键方面,如早期行动、坚持和社会成本的相对权重,以最佳方式平衡威胁性疫情的直接成本与其社会层面的成本。我们确定了流行病控制中的两个主要自由度,即控制措施的最大强度及其持续时间。在没有旅行者的情况下,较低(较高)的最大强度需要较长(较短)的持续时间才能达到类似的控制结果。然而,无法控制的外部因素,如未被发现的传染病的输入,极大地限制了这些自由度,因此最优策略的结果是低/中等强度但时间较长的策略。这些发现强调了在防范计划中建立有韧性的卫生系统和协调一致的全球应对的必要性。
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来源期刊
CiteScore
4.20
自引率
5.00%
发文量
218
审稿时长
51 days
期刊介绍: The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including: • Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game Theory Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.
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