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Wastewater Analysis of SARS-CoV-2 as a Predictive Metric of Positivity Rate for a Major Metropolis
Lauren B Stadler; Katherine Ensor; Justin R Clark; Prashant Kalvapalle; Zachary W LaTurner; Lilian Mojica; Austen L Terwilliger; Yue Zhuo; Priyanka Ali; Vasanthi Avadhanula; Roberto Bertolusso; Tessa Crosby; Haroldo Hernandez Santos; Marielle Hollstein; Kyle Weesner; David M Zong; David Persse; Pedro A Piedra; Anthony W Maresso; Loren Hopkins.
Affiliation
  • Lauren B Stadler; Rice University
  • Katherine Ensor; Rice University
  • Justin R Clark; Baylor College of Medicine
  • Prashant Kalvapalle; Rice University
  • Zachary W LaTurner; Rice University
  • Lilian Mojica; Houston Health Department
  • Austen L Terwilliger; Baylor College of Medicine
  • Yue Zhuo; Rice University
  • Priyanka Ali; Rice University
  • Vasanthi Avadhanula; Baylor College of Medicine
  • Roberto Bertolusso; Rice University
  • Tessa Crosby; Rice University
  • Haroldo Hernandez Santos; Baylor College of Medicine
  • Marielle Hollstein; Rice University
  • Kyle Weesner; Baylor College of Medicine
  • David M Zong; Rice University
  • David Persse; Houston Health Department
  • Pedro A Piedra; Baylor College of Medicine
  • Anthony W Maresso; Baylor College of Medicine
  • Loren Hopkins; Houston Health Department
Preprint in En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20226191
ABSTRACT
Wastewater monitoring for SARS-CoV-2 has been suggested as an epidemiological indicator of community infection dynamics and disease prevalence. We report wastewater viral RNA levels of SARS-CoV-2 in a major metropolis serving over 3.6 million people geographically spread over 39 distinct sampling sites. Viral RNA levels were followed weekly for 22 weeks, both before, during, and after a major surge in cases, and simultaneously by two independent laboratories. We found SARS-CoV-2 RNA wastewater levels were a strong predictive indicator of trends in the nasal positivity rate two-weeks in advance. Furthermore, wastewater viral RNA loads demonstrated robust tracking of positivity rate for populations served by individual treatment plants, findings which were used in real-time to make public health interventions, including deployment of testing and education strike teams.
License
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Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Experimental_studies / Observational_studies / Prognostic_studies Language: En Year: 2020 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Experimental_studies / Observational_studies / Prognostic_studies Language: En Year: 2020 Document type: Preprint