Evidence map›Paper›PMID 34035248›Full record

ArticleNature communications2021

Disproportionate exposure to urban heat island intensity across major US cities.

Angel Hsu, Glenn Sheriff, Tirthankar Chakraborty, Diego Manya

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 142 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
142citing papers in PubMed, 2 pooled it
–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

142 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Beyond redlining: Gentrification, displacement, disadvantages, and exclusivity predict urban environmental and health inequities.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  20. Inflammatory Shift in Chronic Rhinosinusitis Amidst Guangzhou's Urbanization (2000-2018).World journal of otorhinolaryngology - head and neck surgery · 2026
    Article

82 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Angel HsuYale-NUS College, Singapore, Singapore.ORCID http://orcid.org/0000-0003-4913-9479
Glenn SheriffSchool of Politics and Global Studies, Arizona State University, Tempe, AZ, USA. gsheriff@asu.edu.
Tirthankar ChakrabortyData-Driven EnviroLab, Singapore, Singapore.ORCID http://orcid.org/0000-0003-1338-3525
Diego ManyaSchool of the Environment, Yale University, New Haven, CT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban heat stress poses a major risk to public health. Case studies of individual cities suggest that heat exposure, like other environmental stressors, may be unequally distributed across income groups. There is little evidence, however, as to whether such disparities are pervasive. We combine surface urban heat island (SUHI) data, a proxy for isolating the urban contribution to additional heat exposure in built environments, with census tract-level demographic data to answer these questions for summer days, when heat exposure is likely to be at a maximum. We find that the average person of color lives in a census tract with higher SUHI intensity than non-Hispanic whites in all but 6 of the 175 largest urbanized areas in the continental United States. A similar pattern emerges for people living in households below the poverty line relative to those at more than two times the poverty line.

Indexed as

Health Status DisparitiesHot TemperatureBlack or African AmericanCitiesEnvironmental ExposureGeographyHeat Stress DisordersHispanic or LatinoHumansIncomeMarylandPovertySouth CarolinaUnited StatesUrban HealthWhite People

Identifiers

PMID34035248
PMCPMC8149665

What OpenQuestion holds

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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.