Evidence map›Paper›PMID 41741487›Full record

ArticleScientific data2026

Heat Stress Metrics for US Census Tracts 1998-2020.

Rouzbeh Rahai, Qinqin Kong, Timur Dogan, Gary W Evans, Nancy M Wells

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Rouzbeh RahaiDepartment of Human Centered Design, College of Human Ecology, Cornell University, Ithaca, NY, USA. rr692@cornell.edu.
Qinqin KongWoods Institute for the Environment, Stanford University, Stanford, CA, USA.
Timur DoganDepartment of Architecture, College of Architecture, Art, and Planning, Cornell University, Ithaca, NY, USA.
Gary W EvansDepartment of Human Centered Design, College of Human Ecology, Cornell University, Ithaca, NY, USA.
Nancy M WellsDepartment of Human Centered Design, College of Human Ecology, Cornell University, Ithaca, NY, USA.

Funding

A National Neighborhood Data Resource to Understand the Health and Socioeconomic Impacts of the 2020 Pandemic in the United StatesU01NR020556 · NINR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Philippa Clarke, Grace A Noppert · 2022 to 2026
$3.2M
NINR NIH HHS U01 NR020556
6 · The paper itself

Abstract

Extreme heat exposure is a growing public health threat. Heat-health research has commonly used dry-bulb temperature to characterize heat exposure, partly due to limited availability of spatially explicit, public-health-aligned datasets that integrate multiple meteorological factors to quantify heat stress. We address this gap by providing hourly Heat Index (HI), Wet-Bulb Globe Temperature (WBGT), and Universal Thermal Climate Index (UTCI) for U.S. census tract boundaries across the contiguous United States from 1998-2020. Heat-stress fields were generated by integrating PRISM, ERA5-Land, and National Solar Radiation Database (NSRDB) products, with near-surface temperature and moisture fields reconstructed and ancillary variables interpolated to a harmonized 800-m grid. Heat-stress indices were computed using validated physical models and aggregated to census tracts using area- and population-weighted methods. Validation against station networks shows stable performance for sample year 2010 May-September, with air-temperature root mean squared error (RMSE) of 1.70 °C, Heat Index RMSE of 3.20 °C, WBGT RMSE of 2.90 °C, and UTCI RMSE of 3.26 °C. These tract-level hourly heat-stress datasets enable direct linkage with public health data.

Indexed as

Heat Stress DisordersCensusesClimateHot TemperatureHumansUnited States

Identifiers

PMID41741487
PMCPMC13046758

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.