{"title":"Non-pharmaceutical interventions during the COVID-19 pandemic: A review","authors":"Nicola Perra","doi":"10.1016/j.physrep.2021.02.001","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p><p>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.</p></div>","PeriodicalId":404,"journal":{"name":"Physics Reports","volume":null,"pages":null},"PeriodicalIF":23.9000,"publicationDate":"2021-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.physrep.2021.02.001","citationCount":"305","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physics Reports","FirstCategoryId":"4","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0370157321000624","RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 305
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.
传染病和人类行为是交织在一起的。一方面,我们的动作和互动是传播的引擎。另一方面,病毒的展开可能会改变我们的日常活动。虽然直观,但我们对这种反馈循环的理解仍然有限。在COVID-19之前,关于这一主题的文献主要是理论性的,很大程度上错过了验证。主要问题是缺乏捕捉疾病引起的行为改变的经验数据。2020年,情况发生了巨大变化。非药物干预措施(npi)一直是对抗SARS-CoV-2病毒的关键武器,几乎影响到任何社会进程。不幸的是,旅行禁令、活动取消、保持社交距离、宵禁和封锁已经变得非常熟悉。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,由科技巨头、主要移动电话提供商和其他公司开发的几个Data for Good项目,使人们能够前所未有地访问描述疫情引起的行为变化的数据。在这里,我回顾了一些关于COVID-19大流行期间npi主题的大量文献。在此过程中,我分析了超过2518位作者在紧急情况发生后的头12个月里写的348篇文章。虽然大部分样本是通过查询PubMed获得的,但它也包括一个手工整理的列表。考虑到重点和方法,我将样本分为七个主要类别:流行病模型、调查、评论/观点、旨在量化国家利益相关者影响的论文、评论、使用数据代理来衡量国家利益相关者的文章,以及描述国家利益相关者的公开数据集。我总结了方法,使用的数据,在每个类别的文章的发现,并提供了一个展望,突出未来的挑战以及机遇。
期刊介绍:
Physics Reports keeps the active physicist up-to-date on developments in a wide range of topics by publishing timely reviews which are more extensive than just literature surveys but normally less than a full monograph. Each report deals with one specific subject and is generally published in a separate volume. These reviews are specialist in nature but contain enough introductory material to make the main points intelligible to a non-specialist. The reader will not only be able to distinguish important developments and trends in physics but will also find a sufficient number of references to the original literature.