Evidence map›Paper›PMID 41948430›Full record

ArticleGeoHealth2026

Proximity of Wildfires to Inpatient Healthcare Facilities in California, 2001-2023.

Caleb Dresser, Neil Singh Bedi, Andrew Schroeder, Eric Sergienko, Satchit Balsari

Abstract read
In one paragraph

Article in GeoHealth, 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.

Caleb DresserDepartment of Emergency Medicine Beth Israel Deaconess Medical Center Boston MA USA.ORCID https://orcid.org/0000-0002-2761-856X
Neil Singh BediHarvard T.H. Chan School of Public Health Boston MA USA.
Andrew SchroederDirect Relief Santa Barbara CA USA.ORCID https://orcid.org/0000-0003-0215-4831
Eric SergienkoFormer Health Officer Mariposa County Health and Human Service Agency Mariposa CA USA.
Satchit BalsariDepartment of Emergency Medicine Beth Israel Deaconess Medical Center Boston MA USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study assessed changes in the proximity of wildfires to inpatient healthcare facilities in California during the period 2001 to 2023. This retrospective, descriptive spatial analysis of 22 years of wildfire perimeter and healthcare facility data analyzed distances between each inpatient facility and the nearest wildfire perimeter in each year (wildfire-facility distance). Distances were computed on an annual basis using data from the California Department of Health Care Access and Information and CAL-FIRE's Fire and Resource Assessment Program. Temporal changes in wildfire-facility distances over the study timeframe were analyzed via linear modeling and Kruskal-Wallis test. This analysis revealed that distances from inpatient healthcare facilities in California to nearby wildfires are decreasing by an average of 628 feet per year. More facilities are experiencing nearby wildfires. During 2017-2023, there were 53% more inpatient beds within five miles of a wildfire than in 2001-2008. Wildfires are occurring closer to inpatient healthcare facilities in California. An increasing proportion of California's inpatient bed capacity is exposed to nearby wildfires. Policies to reduce risk posed by wildfires, prepare for evacuations, preserve access to healthcare, and ensure safe location of new facilities are urgently needed to ensure the safety of patients and the wellbeing of populations that depend on inpatient healthcare services.

Indexed as

climatedisasterhospitalpreparednessspatialwildfire

Identifiers

PMID41948430
PMCPMC13052163

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.