摘要翻译：
我们建立了一个多事件模型，并利用国家内部和国家之间各种公共政策的时间、类型和强度水平的差异，研究它们对135个国家的新冠肺炎每日发病率和人口流动模式的动态影响。我们通过考虑多种干预措施的同时存在来消除同时存在的政策偏见。该论文的主要结果是，取消公共活动和对私人聚会施加限制，然后是学校关闭，在数量上对减少新冠肺炎病的每日发病率产生了最显著的影响。其次是工作场所和居家要求，其统计意义和影响程度没有那么明显。相反，我们没有发现国际旅行控制、公共交通关闭和跨城市和地区流动限制的影响。我们确定，这些发现是由它们对人口流动模式的影响以符合时间使用和流行病学因素的方式介导的。
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英文标题：
《Lockdown Strategies, Mobility Patterns and COVID-19》
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作者：
Nikos Askitas, Konstantinos Tatsiramos and Bertrand Verheyden
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最新提交年份：
2020
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分类信息：

一级分类：Economics        经济学
二级分类：Econometrics        计量经济学
分类描述：Econometric Theory, Micro-Econometrics, Macro-Econometrics, Empirical Content of Economic Relations discovered via New Methods, Methodological Aspects of the Application of Statistical Inference to Economic Data.
计量经济学理论，微观计量经济学，宏观计量经济学，通过新方法发现的经济关系的实证内容，统计推论应用于经济数据的方法论方面。
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一级分类：Physics        物理学
二级分类：Physics and Society        物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
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一级分类：Quantitative Biology        数量生物学
二级分类：Populations and Evolution        种群与进化
分类描述：Population dynamics, spatio-temporal and epidemiological models, dynamic speciation, co-evolution, biodiversity, foodwebs, aging; molecular evolution and phylogeny; directed evolution; origin of life
种群动力学；时空和流行病学模型；动态物种形成；协同进化；生物多样性；食物网；老龄化；分子进化和系统发育；定向进化；生命起源
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英文摘要：
  We develop a multiple-events model and exploit within and between country variation in the timing, type and level of intensity of various public policies to study their dynamic effects on the daily incidence of COVID-19 and on population mobility patterns across 135 countries. We remove concurrent policy bias by taking into account the contemporaneous presence of multiple interventions. The main result of the paper is that cancelling public events and imposing restrictions on private gatherings followed by school closures have quantitatively the most pronounced effects on reducing the daily incidence of COVID-19. They are followed by workplace as well as stay-at-home requirements, whose statistical significance and levels of effect are not as pronounced. Instead, we find no effects for international travel controls, public transport closures and restrictions on movements across cities and regions. We establish that these findings are mediated by their effect on population mobility patterns in a manner consistent with time-use and epidemiological factors.
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PDF链接：
https://arxiv.org/pdf/2006.00531