Unrestricted Online Sharing of High-frequency, High-resolution Data on SARS-CoV-2 in Wastewater to Inform the COVID-19 Public Health Response in Greater Tempe, Arizona

Autor: Sonja Savic, Arvind Varsani, Rajesh Kumar, Hanah Goetz, Melanie Engstrom Newell, Akhil Mahant, Richard Dalton, Sangeet Adhikari, Philip Brown, Jake Zevitz, Matthew Scotch, Kaxandra Nessi, Erin M. Driver, Payton Watkins, Jillian Wright, Allison Binsfeld, Chris Garcia, Stephanie Deitrick, Rosa Inchausti, Rolf U. Halden, Simona Kraberger, Xiao-Jun Tian, Bridger Johnston, LaRinda A Holland, Efrem S. Lim, Devin A. Bowes, Rafaela S. Fontenele, Wydale K. Holmes
Rok vydání: 2021
Předmět:
DOI: 10.1101/2021.07.29.21261338
Popis: The COVID-19 pandemic prompted a global integration of wastewater-based epidemiology (WBE) into public health surveillance. Among early pre-COVID practitioners was Greater Tempe (population ~200,000), Arizona, where high-frequency, high-resolution monitoring of opioids began in 2018, leading to unrestricted online data release. Leveraging an existing, neighborhood-level monitoring network, wastewater from eleven contiguous catchment areas was analyzed by RT-qPCR for the SARS-CoV-2 E gene from April 2020 to March 2021 (n=1,556). Wastewater data identified an infection hotspot in a predominantly Hispanic and Native American community, triggering targeted interventions. During the first SARS-CoV-2 wave (June 2020), spikes in virus levels preceded an increase in clinical cases by 8.5±2.1 days, providing an early-warning capability that later transitioned into a lagging indicator (−2.0±1.4 days) during the December/January 2020-21 wave of clinical cases. Globally representing the first demonstration of immediate, unrestricted WBE data sharing and featuring long-term, innovative, high-frequency, high-resolution sub-catchment monitoring, this successful case study encourages further applications of WBE to inform public health interventions.
Databáze: OpenAIRE