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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

Bowes, D. A.; Driver, E. M.; Kraberger, S.; Fontenele, R. S.; Holland, L. A.; Wright, J.; Johnston, B.; Savic, S.; Newell, M. E.; Adhikari, S.; Kumar, R.; Goetz, H.; Binsfeld, A.; Nessi, K.; Watkins, P.; Mahant, A.; Zevitz, J.; Deitrick, S.; Brown, P.; Dalton, R.; Garcia, C.; Inchausti, R.; Holmes, W.; Tian, X.-J.; Varsani, A. U.; Lim, E.; Scotch, M.; Halden, R. U.

2021-08-01 infectious diseases
10.1101/2021.07.29.21261338 medRxiv
Show abstract

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.

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