Evidence map›Paper›PMID 41282188›Full record

ArticleResearch square2025

Temperature and Emergency Department Visits: Present-Day Associations and Future Projections.

Chad Milando, Ian Sue Wing, Gregory A Wellenius

Abstract readPreprint
In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Chad MilandoBoston University School of Public Health.
Ian Sue WingBoston University.
Gregory A WelleniusBoston University School of Public Health.

Funding

Evidence to improve heat warning effectiveness in reducing morbidity and mortality.R01ES029950 · NIEHS · BROWN UNIVERSITY · PI WELLENIUS, GREGORY A · 2019 to 2022
$2.5M
NIEHS NIH HHS R01 ES029950Wellcome Trust
6 · The paper itself

Abstract

High ambient temperature (i.e., "heat") is associated with increased rates of death. The association between heat and illnesses that result in emergency department (ED) visits is less well characterized: most studies have examined heat impacts in the summer months, for a subset of health outcomes, or at limited spatial scales. This work characterizes the relationship between temperature and all-cause ED visits across the entire year and at large spatial scale, and projects ED visits associated with future temperature change. We analyzed health data from 21,090,141 commercially insured individuals across 2,161 counties in the contiguous US from 2010 to 2021. We used distributed lag non-linear models (DLNM) to fit the exposure-response relationship in the historical period (2010-2021), then used projected mid-century (2040-2050) temperatures from global climate models across three Shared Socio-Economic Pathways to project future all-cause ED visits. Increasing daily maximum temperature were associated with increased ED visits throughout the year and across the US. ED visits increased 1.3% per year under the highest emission scenario and more than half of the counties in the study experienced 27 or more days per year of high healthcare utilization under future climate scenarios, an increase of 50% over present day conditions. These findings clarify the exposure-response relationship between daily maximum temperature and ED visits as distinct from the relationship between temperature and mortality. They also emphasize that future healthcare systems will need to accommodate more baseline ED visits throughout the year and a higher frequency of days with extremely high ED visit rates.

Indexed as

Case-crossoverDistributed Lag Nonlinear ModelsEmergency Department VisitsProjected Future ImpactsTemperature

Identifiers

PMID41282188
PMCPMC12632729

What OpenQuestion holds

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LicenceCC BY
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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.