Evidence map›Paper›PMID 33965818›Full record

ArticleThe Science of the total environment2021

Monitoring changes in COVID-19 infection using wastewater-based epidemiology: A South African perspective.

Leanne Pillay, Isaac Dennis Amoah, Nashia Deepnarain, Kriveshin Pillay, Oluyemi Olatunji Awolusi, Sheena Kumari, Faizal Bux

Abstract read
In one paragraph

Article in The Science of the total environment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 5 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

37 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  18. Diurnal changes in pathogenic and indicator virus concentrations in wastewater.Environmental science and pollution research international · 2023
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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

7 authors.

Leanne PillayInstitute for Water and Wastewater Technology, Durban University of Technology, P.O. Box 1334, Durban 4000, South Africa.
Isaac Dennis AmoahInstitute for Water and Wastewater Technology, Durban University of Technology, P.O. Box 1334, Durban 4000, South Africa.
Nashia DeepnarainInstitute for Water and Wastewater Technology, Durban University of Technology, P.O. Box 1334, Durban 4000, South Africa.
Kriveshin PillayInstitute for Water and Wastewater Technology, Durban University of Technology, P.O. Box 1334, Durban 4000, South Africa.
Oluyemi Olatunji AwolusiInstitute for Water and Wastewater Technology, Durban University of Technology, P.O. Box 1334, Durban 4000, South Africa.
Sheena KumariInstitute for Water and Wastewater Technology, Durban University of Technology, P.O. Box 1334, Durban 4000, South Africa.
Faizal BuxInstitute for Water and Wastewater Technology, Durban University of Technology, P.O. Box 1334, Durban 4000, South Africa. Electronic address: faizalb@dut.ac.za.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring of COVID-19 infections within communities via wastewater-based epidemiology could provide a cost-effective alternative to clinical testing. This approach, however, still requires improvement for its efficient application. In this paper, we present the use of wastewater-based epidemiology in monitoring COVID-19 infection dynamics in the KwaZulu-Natal province of South Africa, focusing on four wastewater treatment plants for 14 weeks. The SARS-CoV-2 viral load in influent wastewater was determined using droplet digital PCR, and the number of people infected was estimated using published models as well as using a modified model to improve efficiency. On average, viral loads ranged between 0 and 2.73 × 10

Indexed as

COVID-19WastewaterCommunicable Disease ControlHumansSARS-CoV-2South AfricaWastewaterCOVID-19Droplet digital PCRInfection prediction modelsSARS-CoV-2Wastewater-based epidemiology

Identifiers

PMID33965818
PMCPMC8062404

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.