Evidence map›Paper›PMID 38741908›Full record

ArticleFrontiers in public health2024

Wildfires and climate justice: future wildfire events predicted to disproportionally impact socioeconomically vulnerable communities in North Carolina.

Raquel Winker, Alexis Payton, Eric Brown, Elena McDermott, Jonathan H Freedman, Chris Lenhardt, Lauren A Eaves, Rebecca C Fry, Julia E Rager

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. 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

9 authors.

Raquel Winker *Department of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, NC, United States.
Alexis Payton *Department of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, NC, United States.
Eric BrownDepartment of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, NC, United States.
Elena McDermottDepartment of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, NC, United States.
Jonathan H FreedmanInstitute for Environmental Health Solutions, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, United States.
Chris LenhardtRenaissance Computing Institute (RENCI), University of North Carolina, Chapel Hill, NC, United States.
Lauren A EavesDepartment of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, NC, United States.
Rebecca C FryDepartment of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, NC, United States.
Julia E RagerDepartment of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, NC, United States.

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Hazel B Nichols · 2001 to 2026
$36.3M
The UNC Chapel Hill Superfund Research Program (UNC-SRP)P42ES031007 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Kathleen M Gray · 2020 to 2026
$22.2M
NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P42 ES031007
6 · The paper itself

Abstract

Wildfire events are becoming increasingly common across many areas of the United States, including North Carolina (NC). Wildfires can cause immediate damage to properties, and wildfire smoke conditions can harm the overall health of exposed communities. It is critical to identify communities at increased risk of wildfire events, particularly in areas with that have sociodemographic disparities and low socioeconomic status (SES) that may exacerbate incurred impacts of wildfire events. This study set out to: (1) characterize the distribution of wildfire risk across NC; (2) implement integrative cluster analyses to identify regions that contain communities with increased vulnerability to the impacts of wildfire events due to sociodemographic characteristics; (3) provide summary-level statistics of populations with highest wildfire risk, highlighting SES and housing cost factors; and (4) disseminate wildfire risk information via our online web application, ENVIROSCAN. Wildfire hazard potential (WHP) indices were organized at the census tract-level, and distributions were analyzed for spatial autocorrelation via global and local Moran's tests. Sociodemographic characteristics were analyzed via

Indexed as

Vulnerable PopulationsWildfiresCluster AnalysisHumansNorth CarolinaSocial JusticeSocioeconomic Factorsclimate changecluster analysisenvironmental justicehousing costsocial vulnerabilitywildfire

Identifiers

PMID38741908
PMCPMC11089107

What OpenQuestion holds

Textmetadata
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.