Evidence map›Paper›PMID 36471702›Full record

ArticleEnvironmental advances2023

Monitoring of COVID-19 in wastewater across the Eastern Upper Peninsula of Michigan.

Michelle M Jarvie, Moriah Reed-Lukomski, Benjamin Southwell, Derek Wright, Thu N T Nguyen

Open access · goldAbstract read
In one paragraph

Article in Environmental advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 15% of its field
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

11 citing papers in PubMed, 18 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Michelle M JarvieSchool of Science and Medicine, Lake Superior State University, 650 W. Easterday Ave., Sault Ste, Marie, MI 49783, USA.
Moriah Reed-LukomskiSchool of Science and Medicine, Lake Superior State University, 650 W. Easterday Ave., Sault Ste, Marie, MI 49783, USA.
Benjamin SouthwellSchool of Science and Medicine, Lake Superior State University, 650 W. Easterday Ave., Sault Ste, Marie, MI 49783, USA.
Derek WrightSchool of Natural Resources and Environment, Lake Superior State University, 650 W. Easterday Ave., Sault Ste. Marie, MI 49783, USA.
Thu N T NguyenSchool of Science and Medicine, Lake Superior State University, 650 W. Easterday Ave., Sault Ste, Marie, MI 49783, USA.
Lake Superior State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater-based epidemiology is being used as a tool to monitor the spread of COVID-19 and provide an early warning for the presence or increase of clinical cases in a community. The majority of wastewater-based epidemiology for COVID-19 tracking has been utilized in sewersheds that service populations in the tens-to-hundreds of thousands. Few studies have been conducted to assess the usefulness of wastewater in predicting COVID-19 clinical cases specifically in rural areas. This study collected samples from 16 locations across the Eastern Upper Peninsula of Michigan from June to December 2021. Sampling locations included 12 rural municipalities, a Tribal housing community and casino, a public university, three municipalities that also contained a prison, and a small island with heavy tourist traffic. Samples were analyzed for SARS-CoV-2 N1, N2, and variant gene copies using reverse transcriptase droplet digital polymerase chain reaction (RT-ddPCR). Wastewater N1 and N2 gene copies and clinical case counts were correlated to determine if wastewater results were predictive of clinical cases. Significant correlation between N1 and N2 gene copies and clinical cases was found for all sites (⍴= 0.89 to 0.48). N1 and N2 wastewater results were predictive of clinical case trends within 0-7 days. The Delta variant was detected in the Pickford and St. Ignace samples more than 12-days prior to the first reported Delta clinical cases in their respective counties. Locations with low correlation could be attributed to their high rates of tourism. This is further supported by the high correlation seen in the public university, which is a closed population. Long-term wastewater monitoring over a large, rural geographic area is useful for informing the public of potential outbreaks in the community regardless of asymptomatic cases and access to clinical testing.

Indexed as

Early warningRural populationsSARS-CoV-2Wastewater-based epidemiologyWastewater surveillance

Identifiers

PMID36471702
PMCPMC9714184
OpenAlexW4310521941

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.