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Spatially resolved qualified sewage spot sampling to track SARS-CoV-2 dynamics in Munich - One year of experience.
Rubio-Acero, Raquel; Beyerl, Jessica; Muenchhoff, Maximilian; Roth, Marc Sancho; Castelletti, Noemi; Paunovic, Ivana; Radon, Katja; Springer, Bernd; Nagel, Christian; Boehm, Bernhard; Böhmer, Merle M; Graf, Alexander; Blum, Helmut; Krebs, Stefan; Keppler, Oliver T; Osterman, Andreas; Khan, Zohaib Nisar; Hoelscher, Michael; Wieser, Andreas.
  • Rubio-Acero R; Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, 80802 Munich, Germany. Electronic address: Raquel.Rubio@med.uni-muenchen.de.
  • Beyerl J; Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, 80802 Munich, Germany. Electronic address: Beyerl@mvp.lmu.de.
  • Muenchhoff M; Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU Munich, 80336 Munich, Germany; German Center for Infection Research (DZIF), partner site Munich, Germany. Electronic address: Muenchhoff@mvp.lmu.de.
  • Roth MS; Munich Metropolitan Sewer Authority, Munich, Germany. Electronic address: Marcsancho.Roth@muenchen.de.
  • Castelletti N; Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, 80802 Munich, Germany. Electronic address: Castelletti@lrz.uni-muenchen.de.
  • Paunovic I; Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, 80802 Munich, Germany. Electronic address: Ivana.Paunovic@med.uni-muenchen.de.
  • Radon K; Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, 80336 Munich, Germany; Center for International Health, Ludwig-Maximilians-University, Munich, Germany. Electronic address: Katja.Radon@med.uni-muenchen.de.
  • Springer B; Fire Department, Disaster Control, City of Munich, Germany. Electronic address: Bernd.Springer@muenchen.de.
  • Nagel C; Department of Health, City of Munich, Germany. Electronic address: Christian.Nagel@muenchen.de.
  • Boehm B; Munich Metropolitan Sewer Authority, Munich, Germany. Electronic address: Bernhard.Boehm@muenchen.de.
  • Böhmer MM; Taskforce Infectiology, Department for Infectious Disease Epidemiology (TFI 2), Bavarian Health and Food Safety Authority, Oberschleissheim, Germany; Institute of Social Medicine and Health Systems Research, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany. Electronic address: Merle.Boehme
  • Graf A; Laboratory for Functional Genome Analysis, Gene Center, Ludwig Maximilians University of Munich, Munich, Germany. Electronic address: Graf@genzentrum.lmu.de.
  • Blum H; Laboratory for Functional Genome Analysis, Gene Center, Ludwig Maximilians University of Munich, Munich, Germany. Electronic address: Blum@genzentrum.lmu.de.
  • Krebs S; Laboratory for Functional Genome Analysis, Gene Center, Ludwig Maximilians University of Munich, Munich, Germany. Electronic address: Krebs@genzentrum.lmu.de.
  • Keppler OT; German Center for Infection Research (DZIF), partner site Munich, Germany; Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU Munich, 80336 Munich, Germany. Electronic address: Keppler@mvp.lmu.de.
  • Osterman A; German Center for Infection Research (DZIF), partner site Munich, Germany; Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU Munich, 80336 Munich, Germany. Electronic address: Osterman@mvp.lmu.de.
  • Khan ZN; Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, 80802 Munich, Germany. Electronic address: Zohaib.Khan@med.uni-muenchen.de.
  • Hoelscher M; Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, 80802 Munich, Germany; Center for International Health, Ludwig-Maximilians-University, Munich, Germany; German Center for Infection Research (DZIF), partner site Munich, Germany.
  • Wieser A; Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, 80802 Munich, Germany; German Center for Infection Research (DZIF), partner site Munich, Germany. Electronic address: Andreas.Wieser@lmu.de.
Sci Total Environ ; 797: 149031, 2021 Nov 25.
Article in English | MEDLINE | ID: covidwho-1322345
ABSTRACT
Wastewater-based epidemiology (WBE) is a tool now increasingly proposed to monitor the SARS-CoV-2 burden in populations without the need for individual mass testing. It is especially interesting in metropolitan areas where spread can be very fast, and proper sewage systems are available for sampling with short flow times and thus little decay of the virus. We started in March 2020 to set up a once-a-week qualified spot sampling protocol in six different locations in Munich carefully chosen to contain primarily wastewater of permanent residential areas, rather than industry or hospitals. We used RT-PCR and sequencing to track the spread of SARS-CoV-2 in the Munich population with temporo-spatial resolution. The study became fully operational in mid-April 2020 and has been tracking SARS-CoV-2 RNA load weekly for one year. Sequencing of the isolated viral RNA was performed to obtain information about the presence and abundance of variants of concern in the Munich area over time. We demonstrate that the evolution of SARS-CoV-2 RNA loads (between <7.5 and 3874/ml) in these different areas within Munich correlates well with official seven day incidence notification data (between 0.0 and 327 per 100,000) obtained from the authorities within the respective region. Wastewater viral loads predicted the dynamic of SARS-CoV-2 local incidence about 3 weeks in advance of data based on respiratory swab analyses. Aligning with multiple different point-mutations characteristic for certain variants of concern, we could demonstrate the gradual increase of variant of concern B.1.1.7 in the Munich population beginning in January 2021, weeks before it became apparent in sequencing results of swabs samples taken from patients living in Munich. Overall, the study highlights the potential of WBE to monitor the SARS-CoV-2 pandemic, including the introduction of variants of concern in a local population.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Sci Total Environ Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Sci Total Environ Year: 2021 Document Type: Article