Evidence map›Paper›PMID 36688230›Full record

ArticleThe Lancet regional health. Southeast Asia2023

SARS-CoV-2 infection dynamics and genomic surveillance to detect variants in wastewater - a longitudinal study in Bengaluru, India.

Sanjay Lamba, Sutharsan Ganesan, Namrta Daroch, Kiran Paul, Soumya Gopal Joshi, Darshan Sreenivas, Annamalai Nataraj, Vishwanath Srikantaiah, Rakesh Mishra, Uma Ramakrishnan and 1 more

Abstract read
In one paragraph

Article in The Lancet regional health. Southeast Asia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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

11 authors.

Sanjay LambaTata Institute for Genetics and Society, GKVK Post, Bellary Road, Bengaluru, 560065, India.
Sutharsan GanesanTata Institute for Genetics and Society, GKVK Post, Bellary Road, Bengaluru, 560065, India.
Namrta DarochTata Institute for Genetics and Society, GKVK Post, Bellary Road, Bengaluru, 560065, India.
Kiran PaulTata Institute for Genetics and Society, GKVK Post, Bellary Road, Bengaluru, 560065, India.
Soumya Gopal JoshiTata Institute for Genetics and Society, GKVK Post, Bellary Road, Bengaluru, 560065, India.
Darshan SreenivasNational Centre for Biological Sciences, TIFR, Bellary Road, Bengaluru, 560065, India.
Annamalai NatarajTata Institute for Genetics and Society, GKVK Post, Bellary Road, Bengaluru, 560065, India.
Vishwanath SrikantaiahBiome Environmental Trust, Bengaluru, 560097, India.
Rakesh MishraTata Institute for Genetics and Society, GKVK Post, Bellary Road, Bengaluru, 560065, India.
Uma RamakrishnanNational Centre for Biological Sciences, TIFR, Bellary Road, Bengaluru, 560065, India.
Farah IshtiaqTata Institute for Genetics and Society, GKVK Post, Bellary Road, Bengaluru, 560065, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Environmental surveillance (ES) of a pathogen is crucial for understanding the community load of disease. As an early warning system, ES for SARS-CoV-2 has complemented routine diagnostic surveillance by capturing near real-time virus circulation at a population level. Methods: In this longitudinal study conducted between January 2022 and June 2022 in 28 sewershed sites in Bengaluru city (∼11 million inhabitants), we quantified weekly SARS-CoV-2 RNA concentrations to track infection dynamics and provide evidence of change in the relative abundance of emerging variants. Findings: We describe an early warning system using the exponentially weighted moving average control chart and demonstrate how SARS-CoV-2 RNA concentrations in wastewater correlated with clinically diagnosed new COVID-19 cases, with the trends appearing 8-14 days earlier in wastewater than in clinical data. This was further corroborated by showing that the estimated number of infections is strongly correlated with SARS-CoV-2 RNA copies detected in the wastewater. Using a deconvolution matrix, we detected emerging variants of concern up to two months earlier in wastewater samples. In addition, we found a huge diversity in variants detected in wastewater compared to clinical samples. The findings from this study have been discussed regularly with local authorities to inform policy-making decisions. Interpretation: Our study highlights that quantifying viral titre, correlating it with a known number of cases in the area, and combined with genomic surveillance helps in tracking variants of concern (VOC) over time and space, enabling timely and making informed policy decisions. Funding: This work has been supported by funding from the Rockefeller Foundation grant to National Centre for Biological Sciences, TIFR) and the Indian Council of Medical Research grant to (FI) Tata Institute for Genetics and Society and Tata Trusts.

Indexed as

BengaluruEnvironment surveillanceGenomicsIndiaSARS-CoV-2Variants

Identifiers

PMID36688230
PMCPMC9847225

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.