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This study quantifies the effect of state reopening policies on daily mobility, travel, and mixing behavior during the … different states. We quantify the increase in mobility patterns during the reopening phase by a broad range of cell …-device-based metrics. Soon (four days) after reopening, we observe a 6% to 8% mobility increase. In addition, we find that temperature and …
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coronavirus infection during the initial takeoff of the massive epidemic that became evident throughout the city during March 2020 … their routes. Maps of subway station turnstile entries, superimposed upon zip code-level maps of reported coronavirus …
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coronavirus infection during the initial takeoff of the massive epidemic that became evident throughout the city during March 2020 …, superimposed upon zip code-level maps of reported coronavirus incidence, are strongly consistent with subway-facilitated disease … "The Coronavirus Epidemic Curve is Already Flattening in New York City.": "https://ssrn.com/abstract=3563985" https …
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and other demographic information to estimate how individual mobility is affected by local disease prevalence and … in mobility by 2.31%. An official stay-at-home restriction order corresponds to reducing mobility by 7.87%. Counties with …
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This study quantifies the effect of state reopening policies on daily mobility, travel, and mixing behavior during the … different states. We quantify the increase in mobility patterns during the reopening phase by a broad range of cell …-device-based metrics. Soon (four days) after reopening, we observe a 6% to 8% mobility increase. In addition, we find that temperature and …
Persistent link: https://www.econbiz.de/10012481818