Resumen: While severe social-distancing measures have proven effective in slowing the coronavirus disease 2019 (COVID-19) pandemic, second-wave scenarios are likely to emerge as restrictions are lifted. Here we integrate anonymized, geolocalized mobility data with census and demographic data to build a detailed agent-based model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission in the Boston metropolitan area. We find that a period of strict social distancing followed by a robust level of testing, contact-tracing and household quarantine could keep the disease within the capacity of the healthcare system while enabling the reopening of economic activities. Our results show that a response system based on enhanced testing and contact tracing can have a major role in relaxing social-distancing interventions in the absence of herd immunity against SARS-CoV-2. Idioma: Inglés DOI: 10.1038/s41562-020-0931-9 Año: 2020 Publicado en: Nature human behaviour 4 (2020), 964–971 ISSN: 2397-3374 Factor impacto JCR: 13.663 (2020) Categ. JCR: MULTIDISCIPLINARY SCIENCES rank: 6 / 72 = 0.083 (2020) - Q1 - T1 Categ. JCR: PSYCHOLOGY, EXPERIMENTAL rank: 2 / 90 = 0.022 (2020) - Q1 - T1 Categ. JCR: NEUROSCIENCES rank: 9 / 273 = 0.033 (2020) - Q1 - T1 Factor impacto SCIMAGO: 3.434 - Behavioral Neuroscience (Q1) - Social Psychology (Q1) - Experimental and Cognitive Psychology (Q1)