Evidence map›Paper›PMID 39786966›Full record

ArticleEnvironmental science & technology2025

Exploring Demographic Disparities in Private Well Water Testing in North Carolina.

Wesley Hayes, C Nathan Jones, Khalid K Osman, Lauren A Eaves, Wilson Mize, Jon Fowlkes, Rebecca C Fry, Kelsey J Pieper

Abstract read
In one paragraph

Article in Environmental science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

8 authors.

Wesley HayesDepartment of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts 02115, United States.
C Nathan JonesDepartment of Biological Sciences, University of Alabama, Tuscaloosa, Alabama 35401, United States.
Khalid K OsmanDepartment of Civil and Environmental Engineering, Stanford University, Stanford, California 94305, United States.
Lauren A EavesDepartment of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.ORCID 0000-0001-6056-923X
Wilson MizeDivision of Public Health, North Carolina Department of Health and Human Services, Raleigh, North Carolina 27609, United States.
Jon FowlkesDivision of Public Health, North Carolina Department of Health and Human Services, Raleigh, North Carolina 27609, United States.
Rebecca C FryDepartment of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.ORCID 0000-0003-0899-9018
Kelsey J PieperDepartment of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts 02115, United States.ORCID 0000-0002-0273-6527

Funding

The UNC Chapel Hill Superfund Research Program (UNC-SRP)P42ES031007 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Rebecca Fry · 2020 to 2026
$22.2M
NIEHS NIH HHS P42 ES031007
6 · The paper itself

Abstract

The natural, built, and social environments shape drinking water quality supplied by private wells. However, the combined effects of these factors are not well understood. Using North Carolina as a case study, we (i) estimate the demographic characteristics of the private well population; (ii) evaluate representation in well testing records; and (iii) demonstrate how spatial scale influences knowledge of well-using household demographics and representation in testing. We leverage a statewide database of 117,960 well testing records collected over 20 years and a national model predicting well locations. An estimated 25% well-using households identify as Black, Indigenous, and Persons of Color (BIPOC) and 15% have incomes below the poverty threshold. While there is robust well sampling (an average of 4,269 wells tested annually), we observed that most testing records were from predominately White block groups (BGs). Well-using households that did not participate in state testing were 2.4 times more likely to be from predominately BIPOC BGs compared predominately White BGs. Due to the spatial heterogeneity of the well population, demographic differences in well populations were more evident using higher resolution data. Multifaceted testing approaches that couple government-driven efforts with localized studies that engage underrepresented communities are needed to facilitate evidence-based management.

Indexed as

Water WellsDemographyDrinking WaterHumansNorth CarolinaWater QualityWater SupplyDrinking Waterdemographicsenvironmental justicespatial scalewell waterwell water testing

Identifiers

PMID39786966
PMCPMC11755715

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.