Author: Yeager, R.; Holm, R. H.; Saurabh, K.; Fuqua, J. L.; Talley, D.; Bhatnagar, A.; Smith, T.
Title: Wastewater Sample Site Selection to Estimate Geographically Resolved Community Prevalence of COVIDâ€19: A Sampling Protocol Perspective Cord-id: jmizaf28 Document date: 2021_7_1
ID: jmizaf28
Snippet: Wastewater monitoring for virus infections within communities can complement conventional clinical surveillance. Currently, most SARSâ€CoVâ€2 (severe acute respiratory syndrome coronavirus 2) clinical testing is voluntary and inconsistently available, except for a few occupational and educational settings, and therefore likely underrepresents actual population prevalence. Randomized testing on a regular basis to estimate accurate populationâ€level infection rates is prohibitively costly and i
Document: Wastewater monitoring for virus infections within communities can complement conventional clinical surveillance. Currently, most SARSâ€CoVâ€2 (severe acute respiratory syndrome coronavirus 2) clinical testing is voluntary and inconsistently available, except for a few occupational and educational settings, and therefore likely underrepresents actual population prevalence. Randomized testing on a regular basis to estimate accurate populationâ€level infection rates is prohibitively costly and is hampered by a range of limitations and barriers associated with participation in clinical research. In comparison, communityâ€level fecal monitoring can be performed through wastewater surveillance to effectively surveil communities. However, epidemiologically defined protocols for wastewater sample site selection are lacking. Herein, we describe methods for developing a geographically resolved populationâ€level wastewater sampling approach in Jefferson County, Kentucky, and present preliminary results. Utilizing this site selection protocol, samples (n = 237) were collected from 17 wastewater catchment areas, September 8 to October 30, 2020 from one to four times per week in each area and compared to concurrent clinical data aggregated to wastewater catchment areas and county level. SARSâ€CoVâ€2 RNA was consistently present in wastewater during the studied period, and varied by area. Data obtained using the site selection protocol showed variation in geographically resolved wastewater SARSâ€CoVâ€2 RNA concentration compared to clinical rates. These findings highlight the importance of neighborhoodâ€equivalent spatial scales and provide a promising approach for viral epidemic surveillance, thus better guiding spatially targeted public health mitigation strategies.
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