Evidence map›Paper›PMID 36875746›Full record

ArticleJournal of environmental chemical engineering2023

Improving wastewater-based epidemiology performance through streamlined automation.

Mohammad Dehghan Banadaki, Soroosh Torabi, William D Strike, Ann Noble, James W Keck, Scott M Berry

Abstract read
In one paragraph

Article in Journal of environmental chemical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

6 authors.

Mohammad Dehghan BanadakiDepartment of Mechanical Engineering, College of Engineering, University of Kentucky, United States.
Soroosh TorabiDepartment of Mechanical Engineering, College of Engineering, University of Kentucky, United States.
William D StrikeDepartment of Biomedical Engineering, College of Engineering, University of Kentucky, United States.
Ann NobleDepartment of Mechanical Engineering, College of Engineering, University of Kentucky, United States.
James W KeckDepartment of Family and Community Medicine, College of Medicine, University of Kentucky, United States.
Scott M BerryDepartment of Mechanical Engineering, College of Engineering, University of Kentucky, United States.

Funding

Pilot Project ProgramP30ES026529 · NIEHS · UNIVERSITY OF KENTUCKY · PI Erin N Haynes · 2017 to 2026
$15.4M
Wastewater Assessment for Coronavirus in Kentucky: Implementing Enhanced Surveillance TechnologyU01DA053903 · NIDA · UNIVERSITY OF KENTUCKY · PI BERRY, SCOTT M · 2021 to 2022
$3.4M
NIDA NIH HHS U01 DA053903NIEHS NIH HHS P30 ES026529
6 · The paper itself

Abstract

Wastewater-based epidemiology (WBE) has enabled us to describe Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infections in populations. However, implementation of wastewater monitoring of SARS-CoV-2 is limited due to the need for expert staff, expensive equipment, and prolonged processing times. As WBE increases in scope (beyond SARS-CoV-2) and scale (beyond developed regions), there is a need to make WBE processes simpler, cheaper, and faster. We developed an automated workflow based on a simplified method termed exclusion-based sample preparation (ESP). Our automated workflow takes 40 min from raw wastewater to purified RNA, which is several times faster than conventional WBE methods. The total assay cost per sample/replicate is $6.50 which includes consumables and reagents for concentration, extraction, and RT-qPCR quantification. The assay complexity is reduced significantly, as extraction and concentration steps are integrated and automated. The high recovery efficiency of the automated assay (84.5 ± 25.4%) yielded an improved Limit of Detection (LoD

Indexed as

AutomationCOVID-19SARS-CoV-2WastewaterWastewater-based epidemiology

Identifiers

PMID36875746
PMCPMC9970922

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.