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Cell phone mobility data offer a modern measurement instrument to investigate human mobility and behavior at an unprecedented scale. We investigate aggregated and anonymized mobility data, which measure how populations at the census-block-group geographic scale stayed at home in California, Georgia, Texas and Washington from the beginning of the pandemic. Using manifold learning techniques, we show that a low-dimensional embedding enables the identification of patterns of mobility behavior that align with stay-at-home orders, correlate with socioeconomic factors, cluster geographically, reveal subpopulations that probably migrated out of urban areas and, importantly, link to COVID-19 case counts. The analysis and approach provide local epidemiologists a framework for interpreting mobility data and behavior to inform policy makers\u2019 decision-making aimed at curbing the spread of COVID-19.<\/jats:p>","DOI":"10.1038\/s43588-021-00125-9","type":"journal-article","created":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T04:11:07Z","timestamp":1632715867000},"page":"588-597","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":49,"title":["Insights into population behavior during the COVID-19 pandemic from cell phone mobility data and manifold learning"],"prefix":"10.1038","volume":"1","author":[{"given":"Roman","family":"Levin","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8253-6321","authenticated-orcid":false,"given":"Dennis L.","family":"Chao","sequence":"additional","affiliation":[]},{"given":"Edward A.","family":"Wenger","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1424-8504","authenticated-orcid":false,"given":"Joshua L.","family":"Proctor","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,22]]},"reference":[{"key":"125_CR1","unstructured":"Weekly Operational Update on COVID-19\u20149 October 2020 (World Health Organization, 2020); https:\/\/www.who.int\/publications\/m\/item\/weekly-update-on-covid-19-9-october-2020"},{"key":"125_CR2","doi-asserted-by":"publisher","first-page":"516","DOI":"10.1093\/tbm\/ibaa055","volume":"10","author":"ML Wang","year":"2020","unstructured":"Wang, M. 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