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SARS-CoV-2 RNA in urban wastewater samples to monitor the COVID-19 pandemic in Lombardy, Italy (March-June 2020).
Castiglioni, Sara; Schiarea, Silvia; Pellegrinelli, Laura; Primache, Valeria; Galli, Cristina; Bubba, Laura; Mancinelli, Federica; Marinelli, Marilisa; Cereda, Danilo; Ammoni, Emanuela; Pariani, Elena; Zuccato, Ettore; Binda, Sandro.
  • Castiglioni S; Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Environmental Sciences, Via Mario Negri 2, 20156 Milan, Italy. Electronic address: sara.castiglioni@marionegri.it.
  • Schiarea S; Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Environmental Sciences, Via Mario Negri 2, 20156 Milan, Italy.
  • Pellegrinelli L; Department of Biomedical Sciences of Health, University of Milan, Via Pascal 36, 20133 Milan, Italy.
  • Primache V; Department of Biomedical Sciences of Health, University of Milan, Via Pascal 36, 20133 Milan, Italy.
  • Galli C; Department of Biomedical Sciences of Health, University of Milan, Via Pascal 36, 20133 Milan, Italy.
  • Bubba L; Department of Biomedical Sciences of Health, University of Milan, Via Pascal 36, 20133 Milan, Italy.
  • Mancinelli F; Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Environmental Sciences, Via Mario Negri 2, 20156 Milan, Italy.
  • Marinelli M; ddPCR Field Applications Specialist, Bio-Rad Laboratories, Milan, Italy.
  • Cereda D; DG Welfare, Regione Lombardia, Milan, Italy.
  • Ammoni E; DG Welfare, Regione Lombardia, Milan, Italy.
  • Pariani E; Department of Biomedical Sciences of Health, University of Milan, Via Pascal 36, 20133 Milan, Italy.
  • Zuccato E; Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Environmental Sciences, Via Mario Negri 2, 20156 Milan, Italy.
  • Binda S; Department of Biomedical Sciences of Health, University of Milan, Via Pascal 36, 20133 Milan, Italy.
Sci Total Environ ; 806(Pt 4): 150816, 2022 Feb 01.
Article in English | MEDLINE | ID: covidwho-1458560
Preprint
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ABSTRACT
Wastewater-based viral surveillance was proposed as a promising approach to monitor the circulation of SARS-CoV-2 in the general population. The aim of this study was to develop an analytical method to detect SARS-CoV-2 RNA in urban wastewater, and apply it to follow the trends of epidemic in the framework of a surveillance network in the Lombardy region (Northern Italy). This area was the first hotspot of COVID-19 in Europe and was severely affected. Composite 24 h samples were collected weekly in eight cities from end-March to mid-June 2020 (first peak of the pandemic). The method developed and optimized, involved virus concentration using PEG centrifugation, and one-step real-time RT-PCR for analysis. SARS-CoV-2 RNA was identified in 65 (61%) out of 107 samples, and the viral concentrations (up to 2.1 E + 05 copies/L) were highest in March-April. By mid-June, wastewater samples tested negative in all the cities corresponding to the very low number of cases recorded in the same period. Viral loads were calculated considering the wastewater daily flow rate and the population served by each wastewater treatment plant, and were used for inter- city comparison. The highest viral loads were found in Brembate, Ranica and Lodi corresponding to the hotspots of the first peak of pandemic. The pattern of decrease of SARS-CoV-2 in wastewater was closely comparable to the decline of active COVID-19 cases in the population, reflecting the effect of lock-down. This study tested wastewater surveillance of SARS-CoV-2 to follow the pandemic trends in one of most affected areas worldwide, demonstrating that it can integrate ongoing virological surveillance of COVID-19, providing information from both symptomatic and asymptomatic individuals, and monitoring the effect of health interventions.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Wastewater / COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: Sci Total Environ Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Wastewater / COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: Sci Total Environ Year: 2022 Document Type: Article