Mobility and contact patterns in different place categories.

<p>(A), Daily visitor counts to five place categories (restaurants & bars, retail, arts & entertainment, educational settings, and others) in NYC during 2020, as recorded in the foot traffic data. (B), Daily reported COVID-19 cases in NYC. (C), Geographical distribution of restaurants...

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Bibliographic Details
Main Author:	Renquan Zhang (13167533) (author)
Other Authors:	Jilei Tai (16793066) (author), Qing Yao (56578) (author), Wan Yang (304669) (author), Kai Ruggeri (5467712) (author), Jeffrey Shaman (252813) (author), Sen Pei (736312) (author)
Published:	2025
Subjects:	Neuroscience Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified varying contact patterns various human activities several baseline models routine human activities retrospective forecasting demonstrates reduce health inequalities new york city incorporates population mixing equitable resource allocation different place categories different human activities data assimilation algorithm 19 case data driven model may driven epidemic model nyc neighborhoods compared neighborhoods driven traffic data driven forecasts fitting model 19 spread 19 pandemic 19 forecasts 19 cases xlink "> world time virus transmissibility using real term forecasts spatially high mobile devices marked disparities level sars level forecasts generate short findings indicate dwell time aggregated foot
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Mobility and contact patterns in different place categories.

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