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

Smruthi Karthikeyan, Nancy Ronquillo, Pedro Belda‐Ferre, Destiny Alvarado, Tara Javidi, Chris Longhurst, Rob Knight

2021mSystems151 citationsDOIOpen Access PDF

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.

Topics & Concepts

WastewaterOutbreakCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)ThroughputVirology2019-20 coronavirus outbreakCoronavirusEnvironmental scienceMedicineDiseaseInfectious disease (medical specialty)Computer scienceEnvironmental engineeringTelecommunicationsPathologyWirelessSARS-CoV-2 detection and testingBiosensors and Analytical DetectionCOVID-19 diagnosis using AI
High-Throughput Wastewater SARS-CoV-2 Detection Enables Forecasting of Community Infection Dynamics in San Diego County | Litcius