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Separating Signal from Noise in Wastewater Data: An Algorithm to Identify Community-Level COVID-19 Surges

Author

Listed:
  • Aparna Keshaviah
  • Ian Huff
  • Xindi (Cindy) Hu
  • Virginia Guidry
  • Ariel Christensen
  • Steven Berkowitz
  • Stacie Reckling
  • Sandra McLellan
  • Adélaïde Roguet
  • Isabel Mussa

Abstract

This paper presents an algorithm that reliably distinguishes signal from noise in wastewater data to flag community-level COVID-19 surges. Our approach gives public health officials a timely, data-driven way to assess when increased public health action may be needed.

Suggested Citation

  • Aparna Keshaviah & Ian Huff & Xindi (Cindy) Hu & Virginia Guidry & Ariel Christensen & Steven Berkowitz & Stacie Reckling & Sandra McLellan & Adélaïde Roguet & Isabel Mussa, "undated". "Separating Signal from Noise in Wastewater Data: An Algorithm to Identify Community-Level COVID-19 Surges," Mathematica Policy Research Reports 11c28767e15e42e795e53fe56, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:11c28767e15e42e795e53fe564f8f59c
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    File URL: https://www.medrxiv.org/content/10.1101/2022.09.19.22280095v1
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