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