Wastewater-based epidemiology has potential as an early-warning tool for determining the presence of COVID-19 in a community. The University of Arizona (UArizona) utilized WBE paired with clinical testing as a surveillance tool to monitor the UArizona community for SARS-CoV-2 in near real-time, as students re-entered campus in the fall. Positive detection of virus RNA in wastewater lead to selected clinical testing, identification, and isolation of three infected individuals (one symptomatic and two asymptomatic) that averted potential disease transmission. This case study demonstrated the value of WBE as a tool to efficiently utilize resources for COVID-19 prevention and response. Thus, WBE coupled with targeted clinical testing was further conducted on 13 dorms during the course of the Fall semester (Table 3). In total, 91 wastewater samples resulted in positive detection of SARS-CoV-2 RNA that successfully provided an early-warning for at least a single new reported case of infection (positive clinical test) amongst the residents living in the dorm. Overall, WBE proved to be an accurate diagnostic for new cases of COVID-19 with an 82.0% positive predictive value and an 88.9% negative predictive value. Increases in positive wastewater samples and clinical tests were noted following holiday-related activities. However, shelter-in-place policies proved to be effective in reducing the number of daily reported positive wastewater and clinical tests. This case study provides evidence for WBE paired with clinical testing and public health interventions to effectively contain potential outbreaks of COVID-19 in defined communities.

Wastewater surveillance for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging approach to help identify the risk of a coronavirus disease (COVID-19) outbreak. This tool can contribute to public health surveillance at both community (wastewater treatment system) and institutional (e.g., colleges, prisons, and nursing homes) scales. This paper explores the successes, challenges, and lessons learned from initial wastewater surveillance efforts at colleges and university systems to inform future research, development and implementation. We present the experiences of 25 college and university systems in the United States that monitored campus wastewater for SARS-CoV-2 during the fall 2020 academic period. We describe the broad range of approaches, findings, resources, and impacts from these initial efforts. These institutions range in size, social and political geographies, and include both public and private institutions. Our analysis suggests that wastewater monitoring at colleges requires consideration of local information needs, sewage infrastructure, resources for sampling and analysis, college and community dynamics, approaches to interpretation and communication of results, and follow-up actions. Most colleges reported that a learning process of experimentation, evaluation, and adaptation was key to progress. This process requires ongoing collaboration among diverse stakeholders including decision-makers, researchers, faculty, facilities staff, students, and community members.

Background Wastewater surveillance for SARS-CoV-2 is an emerging approach to help identify the risk of a COVID-19 outbreak. This tool can contribute to public health surveillance at both community (wastewater treatment system) and institutional (e.g., colleges, prisons, nursing homes) scales. Objectives This research aims to understand the successes, challenges, and lessons learned from initial wastewater surveillance efforts at colleges and university systems to inform future research, development and implementation. Methods This paper presents the experiences of 25 college and university systems in the United States that monitored campus wastewater for SARS-CoV-2 during the fall 2020 academic period. We describe the broad range of approaches, findings, resource needs, and lessons learned from these initial efforts. These institutions range in size, social and political geographies, and include both public and private institutions. Discussion Our analysis suggests that wastewater monitoring at colleges requires consideration of information needs, local sewage infrastructure, resources for sampling and analysis, college and community dynamics, approaches to interpretation and communication of results, and follow-up actions. Most colleges reported that a learning process of experimentation, evaluation, and adaptation was key to progress. This process requires ongoing collaboration among diverse stakeholders including decision-makers, researchers, faculty, facilities staff, students, and community members.

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The University of Arizona utilized wastewater-based epidemiology paired with clinical testing as a surveillance strategy to monitor COVID-19 prevalence in a dormitory community. Positive SARS-CoV-2 RNA detection in wastewater led to prompt testing of all residents and the identification and isolation of three infected individuals which averted potential disease transmission.TextWastewater-based epidemiology (WBE) utilizes concentrations of SARS-CoV-2 in sewage to monitor population-level COVID-19 infections (1–3). Currently, WBE is a promising indicator to support public health decisions (3,4). In this case study, WBE was used to detect a COVID-19 outbreak in a student dormitory (henceforth Dorm A) at the University of Arizona (UArizona).The StudyUArizona incorporated wastewater surveillance as a potential early-warning tool for COVID-19 outbreaks on campus. Grab samples (1L) were collected from a sewer manhole specific to Dorm A, between August 18-31 to monitor SARS-CoV-2 RNA in wastewater. Upon positive detection of viral RNA in wastewater samples, clinical testing was conducted on every individual living in the dorm. UArizona performed two clinical testing modalities, antigen (1 hour turnaround) test via anterior nasal swab and RT-PCR (48-72 hour turnaround) via nasopharyngeal swab samples. Individuals were subject to clinical testing via two routes: Campus Health Services (CHS) if experiencing symptoms or Test All Test Smart (TATS) regardless of symptoms. Refer to Appendix for method details.Article Summary LineWastewater-based epidemiology with subsequent clinical testing identified individuals infected with COVID-19 living in a dormitory and further spread of disease was prevented with public health action.