Evidence map›Paper›PMID 37951944›Full record

ArticleScientific data2023

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

Thomas Kirchner, Haoran Jiang, Hong Gao, Germaine Kabutaulaka, Darlene Cheong, Yungi Jiang, Aseah Khan, Weiyi Qiu, Nikki Tai, Tiffany Truong and 4 more

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Thomas KirchnerDepartment of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, NY, USA. tom.kirchner@nyu.edu.ORCID 0000-0001-5764-4980
Haoran JiangCenter for Data Science, New York University, New York, NY, USA.
Hong GaoDepartment of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, NY, USA.
Germaine KabutaulakaDepartment of Epidemiology, School of Global Public Health, New York University, New York, NY, USA.
Darlene CheongDepartment of Biology, New York University, New York, NY, USA.
Yungi JiangTandon School of Engineering, New York University, New York, NY, USA.
Aseah KhanDepartment of Biology, New York University, New York, NY, USA.
Weiyi QiuCourant Institute of Mathematical Sciences, New York University, New York, NY, USA.
Nikki TaiCourant Institute of Mathematical Sciences, New York University, New York, NY, USA.
Tiffany TruongCollege of Arts and Science, New York University, New York, NY, USA.
Maimunah VirkCollege of Arts and Science, New York University, New York, NY, USA.
Peter GmelchCenter for Urban Science and Progress, Tandon School of Engineering, New York University, New York, NY, USA.
Chris CareyCenter for Urban Science and Progress, Tandon School of Engineering, New York University, New York, NY, USA.
Debra LaeferCenter for Urban Science and Progress, Tandon School of Engineering, New York University, New York, NY, USA. debra.laefer@nyu.edu.

Funding

National Science Foundation (NSF) 2027293
6 · The paper itself

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.

Identifiers

PMID37951944
PMCPMC10640565

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.