Rapid surveillance of New York City healthcare center egress behaviors during the 2020 COVID-19 lockdown

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作者
Thomas Kirchner
Haoran Jiang
Hong Gao
Germaine Kabutaulaka
Darlene Cheong
Yungi Jiang
Aseah Khan
Weiyi Qiu
Nikki Tai
Tiffany Truong
Maimunah Virk
Peter Gmelch
Chris Carey
Debra Laefer
机构
[1] New York University,Department of Social and Behavioral Sciences, School of Global Public Health
[2] New York University,Center for Data Science
[3] New York University,Department of Epidemiology, School of Global Public Health
[4] New York University,Department of Biology
[5] New York University,Tandon School of Engineering
[6] New York University,Courant Institute of Mathematical Sciences
[7] New York University,College of Arts and Science
[8] New York University,Center for Urban Science and Progress, Tandon School of Engineering
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摘要
This rapid response surveillance project was funded by the National Science Foundation (NSF) to collect “perishable” data on egress behaviors and neighborhood conditions surrounding healthcare centers (HCCs) in New York City (NYC) during the initial NYC COVID-19 PAUSE ordinance from March 22nd to May 19th, 2020. Anonymized data on NYC HCC egress behaviors were collected by observational field workers using phone-based mapping applications. Each egress trip record includes the day of week, time of day, destination category type, along with an array of behavioral outcome categories, ambient weather conditions and socio-economic factors. Egress trajectories with precise estimates of distance traveled and the spatial dispersion or “spread” around each HCC were added via post-processing. The data collection and cleaning process resulted in 5,030 individual egress records from 18 facilities over a 9-week period.
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