Nonpharmaceutical interventions, such as isolation, quarantines, and lockdowns, have been implemented in an effort to contain the pandemic, but these are often disruptive and costly. In a new article, researchers identify new and sustainable interventions to contain outbreaks while minimizing the economic and social costs. They built a data-driven mobility model to simulate COVID-19 spreading in Hong Kong, by combining synthetic population, human behavior patterns, and a viral transmission model, and found that by controlling a small percentage of grids, the virus could be largely contained.