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1.
J Public Health Manag Pract ; 2022 Oct 09.
Article in English | MEDLINE | ID: covidwho-2063102

ABSTRACT

Testing sewage (wastewater-based surveillance, or WBS) for pathogens is an increasingly important tool for monitoring the health of populations. During the COVID-19 pandemic, some residential institutions including colleges, prisons, and skilled nursing facilities used facility-level wastewater data to inform their pandemic responses. To understand how these early adopters used WBS data in decision making, we conducted in-depth, semistructured interviews with multiple decision makers at 6 residential institutions in the United States (universities, prisons, and nursing homes) encompassing a total of more than 70 000 residents and staff about interpretation, uses, and limitations of these data. We found that WBS data were used in extremely diverse ways. WBS combined with clinical surveillance informed a wide range of public health actions at residential institutions, including transmission reduction measures, public health communications, and allocation of resources. WBS also served other institutional purposes, such as maintaining relationships with external stakeholders and helping alleviate decision makers' pervasive stress. Recognizing these diverse ways of using WBS data can inform expansion of this practice among institutions as well as development of community-scale systems.

3.
Water Res X ; 12: 100111, 2021 Aug 01.
Article in English | MEDLINE | ID: covidwho-1331293

ABSTRACT

Wastewater surveillance for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA can be integrated with COVID-19 case data to inform timely pandemic response. However, more research is needed to apply and develop systematic methods to interpret the true SARS-CoV-2 signal from noise introduced in wastewater samples (e.g., from sewer conditions, sampling and extraction methods, etc.). In this study, raw wastewater was collected weekly from five sewersheds and one residential facility. The concentrations of SARS-CoV-2 in wastewater samples were compared to geocoded COVID-19 clinical testing data. SARS-CoV-2 was reliably detected (95% positivity) in frozen wastewater samples when reported daily new COVID-19 cases were 2.4 or more per 100,000 people. To adjust for variation in sample fecal content, four normalization biomarkers were evaluated: crAssphage, pepper mild mottle virus, Bacteroides ribosomal RNA (rRNA), and human 18S rRNA. Of these, crAssphage displayed the least spatial and temporal variability. Both unnormalized SARS-CoV-2 RNA signal and signal normalized to crAssphage had positive and significant correlation with clinical testing data (Kendall's Tau-b (τ)=0.43 and 0.38, respectively), but no normalization biomarker strengthened the correlation with clinical testing data. Locational dependencies and the date associated with testing data impacted the lead time of wastewater for clinical trends, and no lead time was observed when the sample collection date (versus the result date) was used for both wastewater and clinical testing data. This study supports that trends in wastewater surveillance data reflect trends in COVID-19 disease occurrence and presents tools that could be applied to make wastewater signal more interpretable and comparable across studies.

4.
Int J Environ Res Public Health ; 18(9)2021 04 22.
Article in English | MEDLINE | ID: covidwho-1202406

ABSTRACT

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.


Subject(s)
COVID-19 , SARS-CoV-2 , Humans , Public Health Surveillance , Universities , Waste Water
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