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

Author

Listed:
  • Aparna Keshaviah
  • Ian Huff
  • Xindi (Cindy) Hu
  • Isabel Musse

Abstract

The Covid-SURGE algorithm distinguishes signal from noise in wastewater data to flag new COVID-19 outbreaks. With a true positive rate of 82% and false positive rate of 7%, the algorithm gives public health officials a timely way to assess the need for heightened response.

Suggested Citation

  • Aparna Keshaviah & Ian Huff & Xindi (Cindy) Hu & Isabel Musse, "undated". "Separating Signal from Noise in Wastewater Data: An Algorithm to Identify Community-Level COVID-19 Surges in Real Time," Mathematica Policy Research Reports 663cf35f4fe84829a05c19bda, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:663cf35f4fe84829a05c19bda66c4d42
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    File URL: https://www.pnas.org/doi/10.1073/pnas.2216021120
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