Evidence map›Paper›PMID 38854424›Full record

ArticleJournal of transport & health2019

Accessibility of cooling centers to heat-vulnerable populations in New York State.

Seema G Nayak, Srishti Shrestha, Scott C Sheridan, Wan-Hsiang Hsu, Neil A Muscatiello, Cristian I Pantea, Zev Ross, Patrick L Kinney, Michael Zdeb, Syni-An A Hwang and 1 more

Abstract read
In one paragraph

Article in Journal of transport & health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Urban Microclimates and Their Relationship with Social Isolation: A Review.International journal of environmental research and public health · 2025
    Review
  4. Heat-Related Health Risks for People Experiencing Homelessness: A Rapid Review.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
    Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. A Comparative Assessment of Cooling Center Preparedness across Twenty-Five U.S. Cities.International journal of environmental research and public health · 2021
    Article
  10. Article
  11. Article
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

11 authors.

Seema G NayakNew York State Department of Health, Center for Environmental Health, Albany, NY, USA.
Srishti ShresthaNational Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
Scott C SheridanKent State University, Department of Geography, Kent, OH, USA.
Wan-Hsiang HsuNew York State Department of Health, Center for Environmental Health, Albany, NY, USA.
Neil A MuscatielloNew York State Department of Health, Center for Environmental Health, Albany, NY, USA.
Cristian I PanteaNew York State Department of Health, Center for Environmental Health, Albany, NY, USA.
Zev RossZevRoss Spatial Analysis, Ithaca, NY, USA.
Patrick L KinneyBoston University School of Public Health, Department of Environmental Health, Boston, MA, USA.
Michael ZdebUniversity at Albany, School of Public Health, Department of Epidemiology and Biostatistics, Rensselaer, NY, USA.
Syni-An A HwangNew York State Department of Health, Center for Environmental Health, Albany, NY, USA.
Shao LinUniversity at Albany, School of Public Health, Department of Environmental Health Sciences, Rensselaer, NY, USA.

Funding

Assess and Model the Health Effects, Population, and Infrastructural Vulnerabilities of Power OutageR15ES028000 · NIEHS · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI LIN, SHAO · 2018 to 2018
$444k
NIEHS NIH HHS R15 ES028000
6 · The paper itself

Abstract

Introduction: Spending a few hours to cool down in a cooling center reduces the impact of heat on health. But limited or lack of accessibility of these facilities is often a barrier to their utilization. The objective of this study was to assess accessibility of the cooling centers to heat-vulnerable populations in New York State (NYS) by various modes of transportation. Methods: We estimate the proximity of 377 cooling centers to general and heat-vulnerable populations in NYS (excluding New York City (NYC)) and determine their accessibility via walking, public transportation and driving. Distances between tract populations and nearest cooling center, and between cooling centers and public transportation stops were estimated. Accessibility in four metropolitan regions was determined via public transportation while accessibility in heat-vulnerable rural areas was estimated via driving. Results: Distances to nearest cooling center ranged from 0 to 53.2 miles with only a third of NYS population within walking distance (0.5 miles) of a cooling center. About 51% of heat-vulnerable tracts were within 0.5 miles, with an average distance of 2.4 miles to the nearest cooling center. Within the four metro politan regions 80% of cooling centers within 0.5 miles of a public transportation stop. All cooling centers in heat-vulnerable tracts were accessible via public transportation. In rural heat-vulnerable tracts, driving distances averaged at about 18 miles. Conclusions: In urban areas many residents were not within walking distance of a cooling center, but most, and nearly all in the most heat-vulnerable areas, were within walking distance of public transportation to a cooling center. In rural locations distances were longer, and accessibility is a greater issue. Cooling centers can be a valuable resource for general and heat-vulnerable populations during an extreme heat event. When planning and implementing cooling centers, it is therefore important to improve accessibility and address other barriers that can hamper their utilization.

Identifiers

PMID38854424
PMCPMC11157955

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.