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

Aparna Keshaviah, Ian Huff, Xindi (Cindy) Hu, Virginia Guidry, Ariel Christensen, Steven Berkowitz, Stacie Reckling, Sandra McLellan, Adélaï de Roguet and Isabel Mussa

Mathematica Policy Research Reports from Mathematica Policy Research

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.

Keywords: wastewater testing; COVID-19; health (search for similar items in EconPapers)
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https://www.medrxiv.org/content/10.1101/2022.09.19.22280095v1 (text/html)

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Persistent link: https://EconPapers.repec.org/RePEc:mpr:mprres:11c28767e15e42e795e53fe564f8f59c

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