Evidence map›Paper›PMID 37355763›Full record

ArticleJournal of exposure science & environmental epidemiology2024

Historical redlining and park use during the COVID-19 pandemic: Evidence from big mobility data.

Yuanfei Li, Youqin Huang, Rui Li, Kai Zhang

Open access · greenAbstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 29% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
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

4 authors at 1 institution in 1 country.

Yuanfei LiDepartment of Sociology, University at Albany, State University of New York, Albany, NY, USA.
Youqin HuangDepartment of Geography and Planning, University at Albany, State University of New York, Albany, NY, USA.
Rui LiDepartment of Geography and Planning, University at Albany, State University of New York, Albany, NY, USA.
Kai ZhangDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Rensselaer, NY, USA. kzhang9@albany.edu.ORCID 0000-0003-0393-5955
Albany State University · US

Funding

American Heart Association-American Stroke Association 19TPA34830085
6 · The paper itself

Abstract

backgroundDespite the health benefits of urban green space, disparities in its access and use have long existed. Emerging evidence suggests an adverse impact of redlining, a discriminatory practice decades ago, on multiple health outcomes. However, whether and to what degree redlining contributes to these disparities remains unknown particularly during a pandemic. With newly available mobility data tracking the locations of large numbers of mobile devices, this study links historical redlining with changes in green space use during the COVID-19 pandemic.

objectiveThis study examines how changes in park visits during the lockdown period (3/23/2020-8/2/2020) are associated with redlining across census tracts in three large U.S. cities.

methodsHOLC neighborhood redlining grade data were merged with SafeGraph mobility data at census tract level for New York City, Chicago, and Philadelphia. Ordinary Least Square regressions were conducted to assess the association between dominant redlining grade and relative change in park visits in census tracts by comparing the lockdown period to the reference period. Spatial error and lag models were also used to account for potential spatial autocorrelation.

resultsPark visits during the lockdown period in 2020 decreased by at least one-third in the three cities. The influence of redlining varied across neighborhoods and cities. In New York City, neighborhoods with more redlined areas experienced the largest drop, sharper decreases concentrated in neighborhoods previously graded as "best" or "still desirable" in Philadelphia, but the effect was barely present in Chicago. In addition, changes in park visits are positively correlated between neighborhoods in New York City and Chicago, but it's not observed in Philadelphia. IMPACT STATEMENT: Using emerging big mobility data, our study revealed large drops in park visits, a better measure than commonly-used access measures in capturing green space exposure, during the lockdown period. We found that historical redlining has a lasting impact on current green space use. More decreases in park visits were observed in the redlined areas in New York City, but patterns vary by neighborhood and city due to local-specific neighborhood dynamics. And changes in park visits were spatially, positively correlated across places.

Indexed as

COVID-19Parks, RecreationalResidence CharacteristicsSARS-CoV-2ChicagoCitiesHumansNew York CityPandemicsPhiladelphiaUnited StatesCOVID-19Green spaceMobility.Park useRedlining

Identifiers

PMID37355763
PMCPMC11471044
OpenAlexW4381889982

What OpenQuestion holds

Textmetadata
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.