Rapid surveillance of New York City healthcare center egress behaviors during the 2020 COVID-19 lockdown-Reference-Cited by-同舟云学术

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

Published:2023-11-11 Issue:1 Volume:10 Page:
ISSN:2052-4463
Container-title:Scientific Data
language:en
Short-container-title:Sci Data

Author:

Kirchner Thomas^ORCID,Jiang Haoran,Gao Hong,Kabutaulaka Germaine,Cheong Darlene,Jiang Yungi,Khan Aseah,Qiu Weiyi,Tai Nikki,Truong Tiffany,Virk Maimunah,Gmelch Peter,Carey Chris,Laefer Debra

Abstract

AbstractThis 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.

Funder

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

Link

https://www.nature.com/articles/s41597-023-02692-0.pdf

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