Rapid surveillance of New York City healthcare center egress behaviors during the 2020 COVID-19 lockdown
Abstract 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 2...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-11-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-023-02692-0 |
| _version_ | 1797630463154585600 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Thomas Kirchner |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-11T11:08:27Z |
| format | Article |
| id | doaj.art-6b7a569458bd4c29891419fa54a7c136 |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-03-11T11:08:27Z |
| publishDate | 2023-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-6b7a569458bd4c29891419fa54a7c1362023-11-12T12:06:21ZengNature PortfolioScientific Data2052-44632023-11-011011810.1038/s41597-023-02692-0Rapid surveillance of New York City healthcare center egress behaviors during the 2020 COVID-19 lockdownThomas Kirchner0Haoran Jiang1Hong Gao2Germaine Kabutaulaka3Darlene Cheong4Yungi Jiang5Aseah Khan6Weiyi Qiu7Nikki Tai8Tiffany Truong9Maimunah Virk10Peter Gmelch11Chris Carey12Debra Laefer13Department of Social and Behavioral Sciences, School of Global Public Health, New York UniversityCenter for Data Science, New York UniversityDepartment of Social and Behavioral Sciences, School of Global Public Health, New York UniversityDepartment of Epidemiology, School of Global Public Health, New York UniversityDepartment of Biology, New York UniversityTandon School of Engineering, New York UniversityDepartment of Biology, New York UniversityCourant Institute of Mathematical Sciences, New York UniversityCourant Institute of Mathematical Sciences, New York UniversityCollege of Arts and Science, New York UniversityCollege of Arts and Science, New York UniversityCenter for Urban Science and Progress, Tandon School of Engineering, New York UniversityCenter for Urban Science and Progress, Tandon School of Engineering, New York UniversityCenter for Urban Science and Progress, Tandon School of Engineering, New York UniversityAbstract 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.https://doi.org/10.1038/s41597-023-02692-0 |
| spellingShingle | 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 Rapid surveillance of New York City healthcare center egress behaviors during the 2020 COVID-19 lockdown Scientific Data |
| title | Rapid surveillance of New York City healthcare center egress behaviors during the 2020 COVID-19 lockdown |
| title_full | Rapid surveillance of New York City healthcare center egress behaviors during the 2020 COVID-19 lockdown |
| title_fullStr | Rapid surveillance of New York City healthcare center egress behaviors during the 2020 COVID-19 lockdown |
| title_full_unstemmed | Rapid surveillance of New York City healthcare center egress behaviors during the 2020 COVID-19 lockdown |
| title_short | Rapid surveillance of New York City healthcare center egress behaviors during the 2020 COVID-19 lockdown |
| title_sort | rapid surveillance of new york city healthcare center egress behaviors during the 2020 covid 19 lockdown |
| url | https://doi.org/10.1038/s41597-023-02692-0 |
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