Evidence map›Paper›PMID 41674531›Full record

ArticleFrontiers in public health2026

Experiences with household mold and perceptions of microbiome engineering to mitigate mold.

Nourou Barry, Kristen D Landreville, Denene Blackwood, Jada K Yard, Rachel Noble, Jennifer Kuzma

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. 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

6 authors.

Nourou BarryGenetic Engineering and Society Center, North Carolina State University, Raleigh, NC, United States.
Kristen D LandrevilleGenetic Engineering and Society Center, North Carolina State University, Raleigh, NC, United States.
Denene BlackwoodInstitute of Marine Sciences, University of North Carolina at Chapel Hill, Morehead City, NC, United States.
Jada K YardSchool of Public and International Affairs, North Carolina State University, Raleigh, NC, United States.
Rachel NobleInstitute of Marine Sciences, University of North Carolina at Chapel Hill, Morehead City, NC, United States.
Jennifer KuzmaGenetic Engineering and Society Center, North Carolina State University, Raleigh, 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
NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

Background: Mold, biologically defined as fungal mold, is frequently identified as a household concern, especially in humid and coastal regions where conditions favor growth. Yet, the ways residents recognize, experience, and manage mold in their daily lives remain understudied. In recent years, emerging mold-control strategies, such as microbiome-engineering technologies, are increasing in application and attracting the interest of homeowners. However, these technologies raise important questions about community perceptions, trust, and acceptance. Understanding how people navigate everyday mold management and views on novel interventions is essential for guiding effective, market-relevant, socially-responsive solutions. Methods: This qualitative study draws on 22 interviews with residents of eastern North Carolina, an area with climate conditions that favor fungal molds. Using the Health Belief Model (HBM) as a framework, we explored participants' conceptualizations of mold, perceived health and structural impacts, prevention strategies, and views on microbiome-engineering remediation technologies. Results: Residents understood mold in diverse ways, as a fungus, a dampness-driven growth, and a sensory presence tied to smell and sight. Mold was linked to respiratory illness, systemic health effects, property damage, and financial burdens. Participants employed layered strategies such as ventilation, dehumidification, cleaning, and occasional professional remediation, though cost, trust, and perceived effectiveness of these strategies remained barriers. Analysis through the HBM revealed high perceived severity of the mold problem and related health illness but underestimation of susceptibility due to reliance on visible cues. Reactions to microbiome-engineered tools showed cautious interest: while residents acknowledged potential benefits, they expressed concerns about unintended consequences, invisibility, and loss of control. Conditional acceptance was contingent on rigorous testing, transparent regulation, and proven safety and efficacy. Conclusion: Mold is experienced by Eastern NC residents not only as a biological contaminant but as a lived, socio-environmental challenge shaped by health, housing, and financial vulnerabilities. Participants in this study indicated serious health concerns related to mold, including after specific events such as large storms and flooding. Acceptance of microbiome-engineering solutions will depend on building trust, addressing equity, and ensuring accessibility. By bridging environmental science, social science, and residents' lived experiences, policies and technologies can more effectively strengthen resilience against one of the most persistent risks in the built environment.

Indexed as

Air Pollution, IndoorFungiHealth Knowledge, Attitudes, PracticeMicrobiotaAdultFamily CharacteristicsFemaleHousingHumansInterviews as TopicMaleMiddle AgedNorth CarolinaQualitative Researchbuilt environment (BE)health belief modelhousehold moldsmicrobiome engineeringmold preventionmold remediationsemistructured interviews

Identifiers

PMID41674531
PMCPMC12886478

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.