Evidence map›Paper›PMID 41998553›Full record

ArticleBMC infectious diseases2026

Designing effective SARS-CoV-2 wastewater surveillance system: lessons learnt from sustained monitoring in Delhi, India.

Roopam Duvesh, Lovekesh, Purva Pankaj Sarkate, Purbasha Bera, Simrita Singh, Swati Sharma, Anupam Kumar Anveshi, Charu Prakash, Ranjan Das

Abstract read
In one paragraph

Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Roopam Duvesh *Enterovirus Division, National Centre for Disease Control, Delhi, India.
Lovekesh *Enterovirus Division, National Centre for Disease Control, Delhi, India.
Purva Pankaj Sarkate *Enterovirus Division, National Centre for Disease Control, Delhi, India. purva.pankaj@gov.in.
Purbasha Bera *Enterovirus Division, National Centre for Disease Control, Delhi, India.
Simrita Singh *Enterovirus Division, National Centre for Disease Control, Delhi, India.
Swati Sharma *Enterovirus Division, National Centre for Disease Control, Delhi, India.
Anupam Kumar Anveshi *Enterovirus Division, National Centre for Disease Control, Delhi, India.
Charu PrakashEnterovirus Division, National Centre for Disease Control, Delhi, India.
Ranjan DasNational Centre for Disease Control, Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater based surveillance (WBS) is an effective tool for monitoring community-level transmission of SARS-CoV-2, particularly where clinical testing is limited. We report results from long-term wastewater surveillance study (2.25 years, November 2021-February 2024) in India. Sample collection sites included sewage pumping station and open drains across Delhi. Weekly grab wastewater samples were analysed for SARS-CoV-2 RNA using quantitative RT-PCR targeting N1, N2, and E genes. Time-lag study was performed to evaluate wastewater viral titres as early warning indicators of clinical case trends. Assay sensitivity and site-specific viral titre patterns across different drainage systems were statistically analysed. Of the 819 samples analysed, 488 tested positive for SARS-CoV-2 RNA for at least one target gene, corresponding to an overall positivity rate of 59.58%. SARS-CoV-2 RNA titres ranged from 1.83 to 1.19 × 106 genome copies/L (g.c./L) for N1, 1.46 to 1.51 × 106 g.c./L for N2, and 3.29 × 103 to 2.24 × 106 g.c./L for the E gene across sites. Time lag analysis showed peak correlations at a one-week lead in January 2022 (N1: r = 0.867, p = 0.002; N2: r = 0.830, p = 0.004) and two-week lead in April 2023 (N1: r = 0.879, p = 0.001). Paired Ct analysis revealed lower mean Ct values for N2 (38.51) than N1 (39.01; p = 0.0013). The sewage pumping station consistently exhibited higher viral titres than open drains (1.7–3.2-fold for N1 and 1.7–3.9-fold for N2). In conclusion, WBS provides a sensitive, population-level early warning system for tracking SARS-CoV-2 transmission dynamics and strengthening routine public health surveillance.

Indexed as

COVID-19SARS-CoV-2WastewaterWastewater-Based Epidemiological MonitoringHumansIndiaRNA, ViralSewageRNA, ViralSewageWastewaterEarly warning systemGrab methodOpen drainsSARS-CoV-2WBS

Identifiers

PMID41998553
PMCPMC13217726

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LicenceCC BY-NC-ND
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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.