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Article: Wastewater Surveillance Provides Spatiotemporal SARS-CoV-2 Infection Dynamics
Title | Wastewater Surveillance Provides Spatiotemporal SARS-CoV-2 Infection Dynamics |
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Authors | |
Issue Date | 15-Mar-2024 |
Publisher | Elsevier |
Citation | Engineering, 2024 How to Cite? |
Abstract | Wastewater surveillance 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 9-month daily wastewater surveillance 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. 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. 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 wastewater surveillance 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. |
Persistent Identifier | http://hdl.handle.net/10722/344222 |
ISSN | 2023 Impact Factor: 10.1 2023 SCImago Journal Rankings: 1.646 |
DC Field | Value | Language |
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dc.contributor.author | Zheng, Xiawan | - |
dc.contributor.author | Leung, Kathy | - |
dc.contributor.author | Xu, Xiaoqing | - |
dc.contributor.author | Deng, Yu | - |
dc.contributor.author | Zhang, Yulin | - |
dc.contributor.author | Chen, Xi | - |
dc.contributor.author | In, Yau Chung | - |
dc.contributor.author | WK, Hui Kenny | - |
dc.contributor.author | Pak, Eddie | - |
dc.contributor.author | Chui, Ho-Kwong | - |
dc.contributor.author | Yang, Ron | - |
dc.contributor.author | Tun, Hein Min | - |
dc.contributor.author | Leung, Gabriel M | - |
dc.contributor.author | Wu, Joseph T | - |
dc.contributor.author | Peiris, Malik | - |
dc.contributor.author | Poon, Leo LM | - |
dc.contributor.author | Zhang, Tong | - |
dc.date.accessioned | 2024-07-16T03:41:45Z | - |
dc.date.available | 2024-07-16T03:41:45Z | - |
dc.date.issued | 2024-03-15 | - |
dc.identifier.citation | Engineering, 2024 | - |
dc.identifier.issn | 2095-8099 | - |
dc.identifier.uri | http://hdl.handle.net/10722/344222 | - |
dc.description.abstract | <p>Wastewater surveillance 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 9-month daily wastewater surveillance 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. 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. Moreover, the effective reproductive number (<em>R</em><sub>t</sub>) was estimated from wastewater measurements to reflect both citywide and regional transmission dynamics. Our findings demonstrate that large-scale intensive wastewater surveillance 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.</p> | - |
dc.language | eng | - |
dc.publisher | Elsevier | - |
dc.relation.ispartof | Engineering | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | Wastewater Surveillance Provides Spatiotemporal SARS-CoV-2 Infection Dynamics | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.eng.2024.01.016 | - |
dc.identifier.eissn | 2096-0026 | - |
dc.identifier.issnl | 2095-8099 | - |