Wastewater Surveillance Provides Spatiotemporal SARS-CoV-2 Infection Dynamics
Xiawan Zheng , Kathy Leung , Xiaoqing Xu , Yu Deng , Yulin Zhang , Xi Chen , Chung In Yau , Kenny W.K. Hui , Eddie Pak , Ho-Kwong Chui , Ron Yang , Hein Min Tun , Gabriel Matthew Leung , Joseph Tsz Kei Wu , Malik Peiris , Leo Lit Man Poon , Tong Zhang
Engineering ›› 2024, Vol. 40 ›› Issue (9) : 77 -85.
Wastewater Surveillance Provides Spatiotemporal SARS-CoV-2 Infection Dynamics
Wastewater surveillance (WWS) can leverage its wide coverage, population-based sampling, and high monitoring frequency to capture citywide pandemic trends independent of clinical surveillance. Here we conducted a nine months daily WWS for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from 12 wastewater treatment plants (WWTPs), covering approximately 80% of the population, to monitor infection dynamics in Hong Kong, China. We found that the SARS-CoV-2 virus concentration in wastewater was correlated with the daily number of reported cases and reached two pandemic peaks three days earlier during the study period. In addition, two different methods were established to estimate the prevalence/incidence rates from wastewater measurements. The estimated results from wastewater were consistent with findings from two independent citywide clinical surveillance programmes (rapid antigen test (RAT) surveillance and serology surveillance), but higher than the cases number reported by the Centre for Health Protection (CHP) of Hong Kong, China. Moreover, the effective reproductive number (Rt) was estimated from wastewater measurements to reflect both citywide and regional transmission dynamics. Our findings demonstrate that large-scale intensive WWS from WWTPs provides cost-effective and timely public health information, especially when the clinical surveillance is inadequate and costly. This approach also provides insights into pandemic dynamics at higher spatiotemporal resolutions, facilitating the formulation of effective control policies and targeted resource allocation.
SARS-CoV-2 / Wastewater surveillance / Prevalence / Effective reproductive number
• Large-scale intensive wastewater surveillance was conducted to obtain citywide spatiotemporal trends.
• Wastewater surveillance captured the pandemic trend three days earlier than reported cases.
• Two methods were established to estimate prevalence from wastewater datasets.
• Wastewater surveillance revealed that the reported cases were underestimated during the pandemic outbreak.
• The wastewater-based effective reproductive number (Rww) was comparable to the incidence-based Rcc.
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