Evidence map›Paper›PMID 42541648›Full record

ArticleEnvironmental science and pollution research international2026

Exploring community-level gut health amidst COVID-19 pandemic: a proposed application of longitudinal wastewater surveillance.

Emma Lancaster, Yuehan Ai, Jiyoung Lee

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Emma LancasterDivision of Environmental Health Sciences, College of Public Health, The Ohio State University, Columbus, OH, USA.
Yuehan AiDepartment of Food Science & Technology, The Ohio State University, Columbus, OH, USA.
Jiyoung LeeDivision of Environmental Health Sciences, College of Public Health, The Ohio State University, Columbus, OH, USA. lee.3598@osu.edu.ORCID http://orcid.org/0000-0001-8936-1555

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater-based epidemiology (WBE) offers a unique, scalable method to monitor disease burden at a community level by capturing all individuals within a sewershed. While emerging evidence suggests that SARS-CoV-2 may influence the human gut microbiota, which is essential for health and disease outcomes, most microbiome studies remain limited to the individual scale. Given wastewater's sensitivity to fluctuations in human fecal composition, we propose leveraging WBE as a cost-effective tool to characterize longitudinal microbial shifts in community-level gut microbiota throughout the COVID-19 pandemic. In this exploratory study, we analyze wastewater from two central Ohio, USA, cities, Columbus and Newark, which differ in socioeconomic and demographic characteristics. Monthly influent samples (n = 69) were collected from August 2020 through June 2022. Clinical COVID-19 cases were collected from within each sewershed, and SARS-CoV-2 gene concentrations were quantified from wastewater samples. 16S rRNA gene sequencing was conducted to characterize human-gut-associated bacterial communities. We report that wastewater influent exhibits distinct genus-level bacterial signatures reflective of each catchment population. Significant temporal changes in bacterial structure and diversity were observed across both cities, indicating community gut health shifts throughout the pandemic. Several taxa, including but not limited to Collinsella, Megasphaera, and Actinobacteriota, showed notable relative abundance fluctuations that may be linked to infection and warrant further investigation as potential microbial biomarkers. This study demonstrates that urban population-level gut microbiome patterns can be robustly characterized through wastewater influent. Most notably, this 23-month study represents the first effort to examine community gut microbiota structural changes across two cities during the COVID-19 pandemic. Our findings highlight sewage as a population-level proxy for public health status and disease burden while offering a novel framework for integrating microbiome science into WBE. This study underscores the potential of wastewater surveillance to advance global infectious disease preparedness and population-scale microbiome research.

Indexed as

COVID-19Gastrointestinal MicrobiomeWastewaterFecesHumansLongitudinal StudiesOhioPandemicsRNA, Ribosomal, 16SSARS-CoV-2Wastewater-Based Epidemiological MonitoringRNA, Ribosomal, 16SWastewaterEnvironmental healthEnvironmental monitoringEpidemiologyHuman gut microbiotaSARS-CoV-2Water microbiology

Identifiers

PMID42541648
PMCPMC13476289

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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.