  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 aim to review some of the
vast literature written on the subject of NPIs during the COVID-19 pandemic. In
doing so, I analyze 347 articles written by more than 2518 of authors in the
last $12$ months. 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
