Evidence map›Paper›PMID 35635775›Full record

ArticleJournal of water and health2022

Modeling the relationship between SARS-CoV-2 RNA in wastewater or sludge and COVID-19 cases in three New England regions.

Elyssa Anneser, Emily Riseberg, Yolanda M Brooks, Laura Corlin, Christina Stringer

Abstract read
In one paragraph

Article in Journal of water and health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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.

Elyssa AnneserDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA E-mail: emilyriseberg@fas.harvard.edu; These authors contributed equally to the work.
Emily RisebergDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA E-mail: emilyriseberg@fas.harvard.edu; These authors contributed equally to the work.
Yolanda M BrooksDepartment of Sciences, St Joseph's College of Maine, Standish, ME, USA.
Laura CorlinDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA E-mail: emilyriseberg@fas.harvard.edu; Department of Civil and Environmental Engineering, Tufts University School of Engineering, Medford, MA, USA.
Christina StringerNew England Interstate Water Pollution Control Commission, Lowell, MA, USA.

Funding

Tufts BIRCWH ProgramK12HD092535 · NICHD · TUFTS UNIVERSITY BOSTON · PI FREUND, KAREN, JAFFE, IRIS Z · 2017 to 2023
$4.3M
NICHD NIH HHS K12 HD092535
6 · The paper itself

Abstract

backgroundWe aimed to compare statistical techniques estimating the association between SARS-CoV-2 RNA in untreated wastewater and sludge and reported coronavirus disease 2019 (COVID-19) cases.

methodsSARS-CoV-2 RNA concentrations (copies/mL) were measured from 24-h composite samples of wastewater in Massachusetts (MA) (daily; 8/19/2020-1/19/2021) and Maine (ME) (weekly; 9/1/2020-3/2/2021) and sludge samples in Connecticut (CT) (daily; 3/1/2020-6/1/2020). We fit linear, generalized additive with a cubic regression spline (GAM), Poisson, and negative binomial models to estimate the association between SARS-CoV-2 RNA concentration and reported COVID-19 cases.

resultsThe models that fit the data best were linear [adjusted R

conclusionsLinear, GAM, and Poisson models outperformed negative binomial models when relating SARS-CoV-2 RNA in wastewater or sludge to reported COVID-19 cases.

Indexed as

COVID-19SewageHumansNew EnglandRNA, ViralSARS-CoV-2WastewaterRNA, ViralSewageWastewater

Identifiers

PMID35635775
PMCPMC12451609

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.