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2019冠状病毒病大流行期间的非药物干预措施:一项综述。

Non-pharmaceutical interventions during the COVID-19 pandemic: A review.

作者信息

Perra Nicola

机构信息

Networks and Urban Systems Centre, University of Greenwich, London, UK.

出版信息

Phys Rep. 2021 May 23;913:1-52. doi: 10.1016/j.physrep.2021.02.001. Epub 2021 Feb 13.

DOI:10.1016/j.physrep.2021.02.001
PMID:33612922
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7881715/
Abstract

Infectious diseases and human behavior are intertwined. On one side, our movements and interactions are the engines of transmission. On the other, the unfolding of viruses might induce changes to our daily activities. While intuitive, our understanding of such feedback loop is still limited. Before COVID-19 the literature on the subject was mainly theoretical and largely missed validation. The main issue was the lack of empirical data capturing behavioral change induced by diseases. Things have dramatically changed in 2020. Non-pharmaceutical interventions (NPIs) have been the key weapon against the SARS-CoV-2 virus and affected virtually any societal process. Travel bans, events cancellation, social distancing, curfews, and lockdowns have become unfortunately very familiar. The scale of the emergency, the ease of survey as well as crowdsourcing deployment guaranteed by the latest technology, several Data for Good programs developed by tech giants, major mobile phone providers, and other companies have allowed unprecedented access to data describing behavioral changes induced by the pandemic. Here, I review some of the vast literature written on the subject of NPIs during the COVID-19 pandemic. In doing so, I analyze 348 articles written by more than 2518 authors in the first 12 months of the emergency. While the large majority of the sample was obtained by querying PubMed, it includes also a hand-curated list. Considering the focus, and methodology I have classified the sample into seven main categories: epidemic models, surveys, comments/perspectives, papers aiming to quantify the effects of NPIs, reviews, articles using data proxies to measure NPIs, and publicly available datasets describing NPIs. I summarize the methodology, data used, findings of the articles in each category and provide an outlook highlighting future challenges as well as opportunities.

摘要

传染病与人类行为相互交织。一方面,我们的行动和互动是传播的驱动力。另一方面,病毒的蔓延可能会导致我们日常活动的改变。虽然这是直观的,但我们对这种反馈循环的理解仍然有限。在新冠疫情之前,关于这个主题的文献主要是理论性的,并且在很大程度上缺乏验证。主要问题是缺乏捕捉疾病引起的行为变化的实证数据。2020年情况发生了巨大变化。非药物干预措施(NPIs)一直是对抗新冠病毒的关键武器,几乎影响了任何社会进程。旅行禁令、活动取消、社交距离、宵禁和封锁不幸地变得非常常见。紧急情况的规模、调查的便利性以及最新技术保证的众包部署、科技巨头、主要手机供应商和其他公司开发的几个数据公益项目,使得人们能够以前所未有的方式获取描述疫情引起行为变化的数据。在此,我回顾了一些关于新冠疫情期间非药物干预措施主题的大量文献。在此过程中,我分析了在紧急情况的前12个月里由2518多名作者撰写的348篇文章。虽然大部分样本是通过查询PubMed获得的,但它也包括一份人工挑选的列表。考虑到重点和方法,我将样本分为七个主要类别:疫情模型、调查、评论/观点、旨在量化非药物干预措施效果的论文、综述、使用数据代理来衡量非药物干预措施的文章以及描述非药物干预措施的公开可用数据集。我总结了每个类别的文章的方法、使用的数据、研究结果,并提供了一个展望,突出了未来的挑战和机遇。

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本文引用的文献

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The assessment of lifestyle changes during the COVID-19 pandemic using a multidimensional scale.使用多维量表评估新冠疫情期间的生活方式变化。
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Estimating behavioural relaxation induced by COVID-19 vaccines in the first months of their rollout.评估新冠疫苗推出后首月内所引发的行为放松情况。
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Comparative evaluation of behavioral epidemic models using COVID-19 data.利用新冠疫情数据对行为流行模型进行比较评估。
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