Evidence map›Paper›PMID 35671797›Full record

ArticleEnvironmental research2022

Wastewater surveillance of SARS-CoV-2 in dormitories as a part of comprehensive university campus COVID-19 monitoring.

Emily Lu, Yuehan Ai, Angela Davis, Judith Straathof, Kent Halloran, Natalie Hull, Ryan Winston, Mark H Weir, Jeffrey Soller, Zuzana Bohrerova and 2 more

Abstract read
In one paragraph

Article in Environmental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 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

12 authors.

Emily LuEnvironmental Science Graduate Program, The Ohio State University, Columbus, OH, USA.
Yuehan AiDepartment of Food Science and Technology, The Ohio State University, Columbus, OH, USA.
Angela DavisDivision of Environmental Health Sciences, College of Public Health, The Ohio State University, Columbus, OH, USA.
Judith StraathofDepartment of Civil, Environmental, and Geodetic Engineering, The Ohio State University, Columbus, OH, USA.
Kent HalloranDepartment of Civil, Environmental, and Geodetic Engineering, The Ohio State University, Columbus, OH, USA; Facilities Operations and Development, Environmental Health and Safety, The Ohio State University, Columbus, OH, USA.
Natalie HullDepartment of Civil, Environmental, and Geodetic Engineering, The Ohio State University, Columbus, OH, USA; Sustainability Institute, The Ohio State University, Columbus, OH, USA.
Ryan WinstonDepartment of Civil, Environmental, and Geodetic Engineering, The Ohio State University, Columbus, OH, USA; Department of Food, Agricultural, and Biological Engineering, The Ohio State University, Columbus, OH, USA; Sustainability Institute, The Ohio State University, Columbus, OH, USA.
Mark H WeirDepartment of Food Science and Technology, The Ohio State University, Columbus, OH, USA; Sustainability Institute, The Ohio State University, Columbus, OH, USA; Infectious Diseases Institute, The Ohio State University, Columbus, OH, USA.
Jeffrey SollerSoller Environmental, LLC, Berkely, CA, 94703, USA.
Zuzana BohrerovaDepartment of Civil, Environmental, and Geodetic Engineering, The Ohio State University, Columbus, OH, USA.
Michael OglesbeeDepartment of Veterinary Biosciences, The Ohio State University, Columbus, OH, USA; Infectious Diseases Institute, The Ohio State University, Columbus, OH, USA.
Jiyoung LeeDepartment of Food Science and Technology, The Ohio State University, Columbus, OH, USA; Division of Environmental Health Sciences, College of Public Health, The Ohio State University, Columbus, OH, USA; Infectious Diseases Institute, The Ohio State University, Columbus, OH, USA. Electronic address: lee.3598@osu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater-based epidemiology is an effective tool for monitoring infectious disease spread or illicit drug use within communities. At the Ohio State University, we conducted a SARS-CoV-2 wastewater surveillance program in the 2020-2021 academic year and compared results with the university-required weekly COVID-19 saliva testing to monitor COVID-19 infection prevalence in the on-campus residential communities. The objectives of the study were to rapidly track trends in the wastewater SARS-CoV-2 gene concentrations, analyze the relationship between case numbers and wastewater signals when adjusted using human fecal viral indicator concentrations (PMMoV, crAssphage) in wastewater, and investigate the relationship of the SARS-CoV-2 gene concentrations with wastewater parameters. SARS-CoV-2 nucleocapsid and envelope (N1, N2, and E) gene concentrations, determined with reverse transcription droplet digital PCR, were used to track SARS-CoV-2 viral loads in dormitory wastewater once a week at 6 sampling sites across the campus during the fall semester in 2020. During the following spring semester, research was focused on SARS-CoV2 N2 gene concentrations at 5 sites sampled twice a week. Spearman correlations both with and without adjusting using human fecal viral indicators showed a significant correlation (p < 0.05) between human COVID-19 positive case counts and wastewater SARS-CoV-2 gene concentrations. Spearman correlations showed significant relationships between N1 gene concentrations and both TSS and turbidity, and between E gene concentrations and both pH and turbidity. These results suggest that wastewater signal increases with the census of infected individuals, in which the majority are asymptomatic, with a statistically significant (p-value <0.05) temporal correlation. The study design can be utilized as a platform for rapid trend tracking of SARS-CoV-2 variants and other diseases circulating in various communities.

Indexed as

COVID-19SARS-CoV-2HumansRNA, ViralUniversitiesWastewaterWastewater-Based Epidemiological MonitoringRNA, ViralWastewatercrAssphageFecal mass correctionPMMoVTotal suspended solidsViral sheddingWastewater-based surveillance

Identifiers

PMID35671797
PMCPMC9167806

What OpenQuestion holds

Textmetadata
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.