High-Throughput Wastewater SARS-CoV-2 Detection Enables Forecasting of Community Infection Dynamics in San Diego County

Smruthi Karthikeyan(University of California San Diego), Nancy Ronquillo(University of California San Diego), Pedro Belda‐Ferre(University of California San Diego), Destiny Alvarado(University of California San Diego), Tara Javidi(University of California San Diego), Chris Longhurst(University of California San Diego), Rob Knight(University of California San Diego)
mSystems
March 8, 2021
Cited by 151Open Access
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Abstract

Wastewater monitoring has a lot of potential for revealing coronavirus disease 2019 (COVID-19) outbreaks before they happen because the virus is found in the wastewater before people have clinical symptoms. However, application of wastewater-based surveillance has been limited by long processing times specifically at the concentration step. Here we introduce a much faster method of processing the samples and show its robustness by demonstrating direct comparisons with existing methods and showing that we can predict cases in San Diego by a week with excellent accuracy, and 3 weeks with fair accuracy, using city sewage. The automated viral concentration method will greatly alleviate the major bottleneck in wastewater processing by reducing the turnaround time during epidemics.


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