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. Travels 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 of 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.

传染病和人类行为交织在一起。一方面，我们的动作和互动是传播的引擎。另一方面，病毒的传播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，关于该主题的文献主要是理论性的，并且在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变化的经验数据。2020 年情况发生了巨大变化。非药物干预 (NPI) 一直是对抗 SARS-CoV-2 病毒的关键武器，几乎影响了所有社会进程。不幸的是，旅行禁令、活动取消、社交距离、宵禁和封锁已经变得非常熟悉。紧急情况的规模，由于最新技术保证了调查的简便性和众包部署，科技巨头、主要移动电话供应商和其他公司开发的数个 Data for Good 计划允许前所未有地访问描述大流行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。为此，我分析了紧急情况发生后的前 12 个月内由 2518 多位作者撰写的 348 篇文章。虽然大部分样本是通过查询 PubMed 获得的，但它也包括一个手工整理的列表。考虑到重点和方法，我将样本分为七大类：流行病模型、调查、评论/观点、旨在量化 NPI 影响的论文、评论、使用数据代理衡量 NPI 的文章，以及描述 NPI 的公开数据集。我总结了每个类别中的方法、使用的数据和文章的发现，并提供了强调未来挑战和机遇的展望。