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The first case study of wastewater-based epidemiology of COVID-19 in Hong Kong.
Xu, Xiaoqing; Zheng, Xiawan; Li, Shuxian; Lam, Nga Sze; Wang, Yulin; Chu, Daniel K W; Poon, Leo L M; Tun, Hein Min; Peiris, Malik; Deng, Yu; Leung, Gabriel M; Zhang, Tong.
  • Xu X; Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Pok Fu Lam Road, Hong Kong SAR, China.
  • Zheng X; Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Pok Fu Lam Road, Hong Kong SAR, China.
  • Li S; Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Pok Fu Lam Road, Hong Kong SAR, China.
  • Lam NS; Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Pok Fu Lam Road, Hong Kong SAR, China.
  • Wang Y; Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Pok Fu Lam Road, Hong Kong SAR, China.
  • Chu DKW; School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
  • Poon LLM; School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
  • Tun HM; School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
  • Peiris M; School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
  • Deng Y; Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Pok Fu Lam Road, Hong Kong SAR, China. Electronic address: dengyu@hku.hk.
  • Leung GM; School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China. Electronic address: gmleung@hku.hk.
  • Zhang T; Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Pok Fu Lam Road, Hong Kong SAR, China. Electronic address: zhangt@hku.hk.
Sci Total Environ ; 790: 148000, 2021 Oct 10.
Article in English | MEDLINE | ID: covidwho-1240613
ABSTRACT
Early detection and surveillance of severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) virus are key pre-requisites for the effective control of coronavirus disease (COVID-19). So far, sewage testing has been increasingly employed as an alternative surveillance tool for this disease. However, sampling site characteristics impact the testing results and should be addressed in the early use stage of this emerging tool. In this study, we implemented the sewage testing for SARS-CoV-2 virus across sampling sites with different sewage system characteristics. We first validated a testing method using "positive" samples from a hospital treating COVID-19 patients. This method was used to test 107 sewage samples collected during the third wave of the COVID-19 outbreak in Hong Kong (from June 8 to September 29, 2020), covering sampling sites associated with a COVID-19 hospital, public housing estates, and conventional sewage treatment facilities. The highest viral titer of 1975 copy/mL in sewage was observed in a sample collected from the isolation ward of the COVID-19 hospital. Sewage sampling at individual buildings detected the virus 2 days before the first cases were identified. Sequencing of the detected viral fragment confirmed an identical nucleotide sequence to that of the SARS-CoV-2 isolated from human samples. The virus was also detected in sewage treatment facilities, which serve populations of approximately 40,000 to more than one million people.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Wastewater-Based Epidemiological Monitoring / COVID-19 Type of study: Case report / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Sci Total Environ Year: 2021 Document Type: Article Affiliation country: J.scitotenv.2021.148000

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Wastewater-Based Epidemiological Monitoring / COVID-19 Type of study: Case report / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Sci Total Environ Year: 2021 Document Type: Article Affiliation country: J.scitotenv.2021.148000