Evidence map›Paper›PMID 42489454›Full record

ArticleApplied and environmental microbiology2026

Detecting and supporting COVID-19 outbreak response in a small-scale nursing home through passive wastewater surveillance of SARS-CoV-2.

Min Ki Jeon, Doris Yoong Wen Di, Maria Steadmon, Stella Maris Remigio, Pamela O'Brien, Daniel P Strange, Vila Chanthasouvanh, Dayna Ornellas, Edward Desmond, Tao Yan

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 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

10 authors.

Min Ki JeonWater Resources Research Center, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.ORCID 0000-0003-1617-5318
Doris Yoong Wen DiState Laboratories Division, State of Hawai'i Department of Health, Pearl City, Hawaii, USA.ORCID 0000-0002-0503-9030
Maria SteadmonState Laboratories Division, State of Hawai'i Department of Health, Pearl City, Hawaii, USA.ORCID 0000-0003-0919-4633
Stella Maris RemigioState Laboratories Division, State of Hawai'i Department of Health, Pearl City, Hawaii, USA.ORCID 0000-0002-3327-8936
Pamela O'BrienState Laboratories Division, State of Hawai'i Department of Health, Pearl City, Hawaii, USA.
Daniel P StrangeState Laboratories Division, State of Hawai'i Department of Health, Pearl City, Hawaii, USA.
Vila ChanthasouvanhDisease Outbreak Control Division, State of Hawai'i Department of Health, Honolulu, Hawaii, USA.
Dayna OrnellasState Laboratories Division, State of Hawai'i Department of Health, Pearl City, Hawaii, USA.
Edward DesmondState Laboratories Division, State of Hawai'i Department of Health, Pearl City, Hawaii, USA.
Tao YanWater Resources Research Center, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.ORCID 0000-0001-7500-7993

Funding

JG CDC HHS NU50CK000553National Science Foundation CBET-2027059
6 · The paper itself

Abstract

Passive wastewater sampling has emerged as a cost-effective approach for pathogen monitoring, but its application in very small populations has not been well studied. This study reports the use of tampons as passive samplers in a small-scale nursing home of 24 residents to detect respiratory viruses, including SARS-CoV-2, influenza A, influenza B, and respiratory syncytial virus (RSV). Weekly wastewater surveillance by reverse transcription digital PCR (RT-dPCR) for a 1-year period resulted in a cluster of consecutive SARS-CoV-2 detections over 4 weeks. When wastewater SARS-CoV-2 concentrations reached higher levels in the third and fourth weeks, whole-genome sequencing achieved >98% genome coverage, identifying lineage LB.1.5, while lower-concentration samples produced only partial genomes. Clinical testing was initiated in the fourth week when clinical symptoms also emerged, and confirmed SARS-CoV-2 infection in 15 of 24 residents and staff. Sequencing of the clinical samples confirmed LB.1.5 in 11 cases, corroborating the wastewater findings. Influenza A subtypes H3N2 and H1N1 were additionally detected in wastewater by targeted enrichment sequencing, and RSV was detected once by RT-dPCR, neither of which was associated with confirmed clinical cases. These results demonstrate that wastewater surveillance can precede clinical symptoms for early detection, and passive sampling using tampons is a practical and sensitive strategy for outbreak surveillance in small-scale facilities. The study also highlights the need for clear response protocols that include rapid clinical testing and cohorting measures when wastewater viral concentrations exceed defined thresholds.IMPORTANCENursing homes are among the highest-risk settings for infectious disease outbreaks, yet early detection remains challenging due to the high prevalence of asymptomatic infections and limited resources for routine clinical surveillance. This study demonstrates that inexpensive tampon-based passive wastewater samplers can detect SARS-CoV-2 up to 3 weeks before clinical symptoms emerge in a nursing home with only 24 residents, which is the smallest population in which this method has been validated. Wastewater-derived genomes matched clinical sequencing quality, enabling identification of a novel SARS-CoV-2 lineage new to Hawai'i. These findings support passive wastewater surveillance as a practical early warning tool for small congregate care facilities, provided that clear institutional response protocols are in place.

Indexed as

COVID-19Nursing HomesSARS-CoV-2WastewaterWastewater-Based Epidemiological MonitoringDisease OutbreaksHumansWastewaternursing homepassive wastewater samplingrespiratory virussequencingsmall-scale

Identifiers

PMID42489454
PMCPMC13488356

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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.