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SARS-CoV-2 infection dynamics and genomic surveillance to detect variants in wastewater – a longitudinal study in Bengaluru, India by Sanjay Lamba; Sutharsan Ganesan; Namrta Daroch; Kiran Paul; Soumya Gopal Joshi; Darshan Sreenivas; Annamalai Nataraj; Vishwanath Srikantaiah; Rakesh Mishra; Uma Ramakrishnan; Farah Ishtiaq is a Medicine article available to read on EtoBox.
What is SARS-CoV-2 infection dynamics and genomic surveillance to detect variants in wastewater – a longitudinal study in Bengaluru, India about?
## Summary ## 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 addi
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- Author
- Sanjay Lamba; Sutharsan Ganesan; Namrta Daroch; Kiran Paul; Soumya Gopal Joshi; Darshan Sreenivas; Annamalai Nataraj; Vishwanath Srikantaiah; Rakesh Mishra; Uma Ramakrishnan; Farah Ishtiaq
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Medicine (Health Sciences)