Evidence map›Paper›PMID 38844223›Full record

ArticleThe Science of the total environment2024

Evaluation of a field deployable, high-throughput RT-LAMP device as an early warning system for COVID-19 through SARS-CoV-2 measurements in wastewater.

J M Boza, A Amirali, S L Williams, B B Currall, G S Grills, C E Mason, H M Solo-Gabriele, D C Erickson

Abstract read
In one paragraph

Article in The Science of the total environment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

8 authors.

J M BozaMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14850, USA.
A AmiraliDepartment of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA.
S L WilliamsSylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
B B CurrallSylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
G S GrillsSylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
C E MasonDepartment of Physiology and Biophysics, Weill Cornell Medical College, New York City, NY 10021, USA; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA; The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY 10021, USA.
H M Solo-GabrieleDepartment of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA.
D C EricksonSibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14850, USA; Division of Nutritional Science, Cornell University, Ithaca, NY 14850, USA. Electronic address: de54@cornell.edu.

Funding

Tumor Biology Research ProgramP30CA240139 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Stephen D. Nimer · 2019 to 2026
$24.1M
Supplement for MINI point-of-use deviceU01DA053941 · NIDA · UNIVERSITY OF MIAMI CORAL GABLES · PI MASON, CHRISTOPHER EDWARD, SCHURER, STEPHAN C · 2021 to 2022
$5.2M
Early Stage Diagnosis of Kaposi's Sarcoma in Limited Resource Settings using KS-DetectUH3CA202723 · NCI · CORNELL UNIVERSITY · PI ERICKSON, DAVID CARL, MARTIN, JEFFREY N · 2018 to 2021
$3.2M
NCI NIH HHS P30 CA240139NCI NIH HHS UH3 CA202723NIDA NIH HHS U01 DA053941
6 · The paper itself

Abstract

Quantification of SARS-CoV-2 RNA copies in wastewater can be used to estimate COVID-19 prevalence in communities. While such results are important for mitigating disease spread, SARS-CoV-2 measurements require sophisticated equipment and trained personnel, for which a centralized laboratory is necessary. This significantly impacts the time to result, defeating its purpose as an early warning detection tool. The objective of this study was to evaluate a field portable device (called MINI) for detecting SARS-CoV-2 viral loads in wastewater using real-time reverse transcriptase loop-mediated isothermal amplification (real-time RT-LAMP). The device was tested using wastewater samples collected from buildings (with 430 to 1430 inhabitants) that had known COVID-19-positive cases. Results show comparable performance of RT-LAMP against reverse transcriptase polymerase chain reaction (RT-qPCR) when detecting SARS-CoV-2 copies in wastewater. Both RT-LAMP and RT-qPCR detected SARS-CoV-2 in wastewater from buildings with at least three positive individuals within a 6-day time frame prior to diagnosis. The large 96-well throughput provided by MINI provided scalability to multi-building detection. The portability of the MINI device enabled decentralized on-site detection, significantly reducing the time to result. The overall findings support the use of RT-LAMP within the MINI configuration as an early detection system for COVID-19 infection using wastewater collected at the building scale.

Indexed as

COVID-19Nucleic Acid Amplification TechniquesSARS-CoV-2WastewaterHumansMolecular Diagnostic TechniquesRNA, ViralViral LoadRNA, ViralWastewaterRT-LAMPRT-qPCRSARS-CoV-2WastewaterWastewater-based surveillance

Identifiers

PMID38844223
PMCPMC11249788

What OpenQuestion holds

Textmetadata
LicenceTDM
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.