Evidence map›Paper›PMID 37133676›Full record

ArticleFood and environmental virology2023

Wastewater-Based Epidemiology of SARS-CoV-2: Assessing Prevalence and Correlation with Clinical Cases.

Hima Wani, Smita Menon, Dipen Desai, Nishita D'Souza, Zarine Bhathena, Nishith Desai, Joan B Rose, Sandhya Shrivastava

Open access · bronzeAbstract read
In one paragraph

Article in Food and environmental virology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Dynamics of SARS-CoV-2 variants in southwest Ohio municipal wastewater.Environmental science : water research & technology · 2025
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  10. Wastewater-Based Epidemiology for SARS-CoV-2 in Northern Italy: A Spatiotemporal Model.International journal of environmental research and public health · 2024
    Article
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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

8 authors at 2 institutions in 2 countries.

Hima WaniBhavan's Research Center, Bhavan's College Campus, Andheri West, Mumbai, Maharashtra, 400058, India.ORCID 0000-0001-6595-9878
Smita MenonBhavan's Research Center, Bhavan's College Campus, Andheri West, Mumbai, Maharashtra, 400058, India.
Dipen DesaiBhavan's Research Center, Bhavan's College Campus, Andheri West, Mumbai, Maharashtra, 400058, India.
Nishita D'SouzaDepartment of Fisheries and Wildlife, Michigan State University, East Lansing, MI, 48824, USA.
Zarine BhathenaDepartment of Microbiology, Bhavan's College, Andheri West, Mumbai, Maharashtra, 400058, India.
Nishith DesaiBhavan's Research Center, Bhavan's College Campus, Andheri West, Mumbai, Maharashtra, 400058, India.
Joan B RoseDepartment of Fisheries and Wildlife, Michigan State University, East Lansing, MI, 48824, USA.
Sandhya ShrivastavaBhavan's Research Center, Bhavan's College Campus, Andheri West, Mumbai, Maharashtra, 400058, India. sandhya_s10@brcmicrobiology.in.ORCID 0000-0002-0671-9214
Bharatiya Vidya Bhavan · INMichigan State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater-based epidemiology has been recognized as a tool to monitor the progress of COVID-19 pandemic worldwide. The study presented herein aimed at quantitating the SARS-CoV-2 RNA in the wastewaters, predicting the number of infected individuals in the catchment areas, and correlating it with the clinically reported COVID-19 cases. Wastewater samples (n = 162) from different treatment stages were collected from three wastewater treatment plants (WWTPs) from Mumbai city during the 2nd surge of COVID-19 (April 2021 to June 2021). SARS-CoV-2 causing COVID-19, was detected in 76.2% and 4.8% of raw and secondary treated (n = 63 each) wastewater samples respectively while all tertiary treated samples (n = 36) were negative. The quantity of SARS-CoV-2 RNA determined as gene copies/100 mL varied among all the three WWTPs under study. The gene copy numbers thus obtained were further used to estimate the number of infected individuals within the population served by these WWTPs using two published methods. A positive correlation (p < 0.05) was observed between the estimated number of infected individuals and clinically confirmed COVID-19 cases reported during the sampling period in two WWTPs. Predicted infected individuals calculated in this study were 100 times higher than the reported COVID-19 cases in all the WWTPs assessed. The study findings demonstrated that the present wastewater treatment technologies at the three WWTPs studied were adequate to remove the virus. However, SARS-CoV-2 genome surveillance with emphasis on monitoring its variants should be implemented as a routine practice to prepare for any future surge in infections.

Indexed as

COVID-19SARS-CoV-2HumansPandemicsPrevalenceRNA, ViralWastewaterWastewater-Based Epidemiological MonitoringRNA, ViralWastewaterCOVID-19RT-qPCRSARS-CoV-2SurveillanceWastewater-Based EpidemiologyWastewater treatment plants

Identifiers

PMID37133676
PMCPMC10155169
OpenAlexW4367834654

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.