Evidence map›Paper›PMID 40436844›Full record

ArticleNature communications2025

Contemporary income inequality outweighs historic redlining in shaping intra-urban heat disparities in Los Angeles.

Anamika Shreevastava, Glynn Hulley, Sai Prasanth, T C Chakraborty, Diego Ramos Aguilera, Kelly Twomey Sanders, Yi Yin

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Anamika ShreevastavaJet Propulsion Laboratory, California Institute of Technology, California, CA, USA. ashreeva@caltech.edu.ORCID http://orcid.org/0000-0002-6805-7869
Glynn HulleyJet Propulsion Laboratory, California Institute of Technology, California, CA, USA.
Sai PrasanthJet Propulsion Laboratory, California Institute of Technology, California, CA, USA.
T C ChakrabortyPacific Northwest National Laboratory, Richland, WA, USA.ORCID http://orcid.org/0000-0003-1338-3525
Diego Ramos AguileraUniversity of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-2019-0027
Kelly Twomey SandersUniversity of Southern California, Los Angeles, CA, USA.
Yi YinDepartment of Environmental Studies, New York University, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The roots of intra-urban heat disparity in the U.S. often trace back to historical discriminatory practices, such as redlining, which categorized neighborhoods by race or ethnicity. In this study, we compare the relative impacts of historic redlining and current income inequality on thermal disparities in Los Angeles. A key innovation of our work is the use of land surface temperature data from the ECOSTRESS instrument aboard the International Space Station, enabling us to capture diurnal trends in urban thermal disparities. Our findings reveal that present-day income inequality is a stronger predictor of heat burden than the legacy of redlining. Additionally, land surface temperature disparities exhibit a seasonal hysteresis effect, intensifying during extreme heat events by 5-7 °C. Sociodemographic analysis highlights that African-American and Hispanic populations in historically and economically disadvantaged areas are often the most vulnerable. Our findings suggest that while the legacy of redlining may persist, the present-day heat disparities are not necessarily an immutable inheritance, where targeted investments and interventions can pave the way for a more thermally just future for these communities.

Identifiers

PMID40436844
PMCPMC12119888

What OpenQuestion holds

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Registered trials

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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.