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Application of Neighborhood-scale Wastewater-based Epidemiology in Low COVID-19 Incidence Situations

Abstract

Wastewater-based epidemiology (WBE), an emerging approach for community-wide COVID-19 surveillance, was primarily characterized at large sewersheds such as wastewater treatment plants serving a large population. Although informed public health measures can be better implemented for a small population, WBE for neighborhood-scale sewersheds is less studied and not fully understood. This study applied WBE to seven neighborhood-scale sewersheds (average population of 1471) from January to November 2021. Community testing data showed an average of 0.004 % incidence rate in these sewersheds (97 % of monitoring periods reported two or fewer daily infections). In 92 % of sewage samples, SARS-CoV-2 N gene fragments were below the limit of quantification. We statistically determined 10 as the threshold of the SARS-CoV-2 N gene concentration normalized to pepper mild mottle virus (N/PMMOV) to alert high COVID-19 incidence rate in the studied sewershed. This threshold of N/PMMOV identified neighborhood-scale outbreaks (COVID-19 incidence rate higher than 0.2 %) with 82 % sensitivity and 51 % specificity. Importantly, neighborhood-scale WBE can discern local outbreaks that would not otherwise be identified by city-scale WBE. Our findings suggest that neighborhood-scale WBE is an effective community-wide disease surveillance tool when COVID-19 incidence is maintained at a low level.

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References
1.
Ahmed W, Bertsch P, Bibby K, Haramoto E, Hewitt J, Huygens F . Decay of SARS-CoV-2 and surrogate murine hepatitis virus RNA in untreated wastewater to inform application in wastewater-based epidemiology. Environ Res. 2020; 191:110092. PMC: 7451058. DOI: 10.1016/j.envres.2020.110092. View

2.
Oh C, Sashittal P, Zhou A, Wang L, El-Kebir M, Nguyen T . Design of SARS-CoV-2 Variant-Specific PCR Assays Considering Regional and Temporal Characteristics. Appl Environ Microbiol. 2022; 88(7):e0228921. PMC: 9004361. DOI: 10.1128/aem.02289-21. View

3.
Gour M, Jain S . Automated COVID-19 detection from X-ray and CT images with stacked ensemble convolutional neural network. Biocybern Biomed Eng. 2021; 42(1):27-41. PMC: 8654581. DOI: 10.1016/j.bbe.2021.12.001. View

4.
Roldan-Hernandez L, Graham K, Duong D, Boehm A . Persistence of Endogenous SARS-CoV-2 and Pepper Mild Mottle Virus RNA in Wastewater-Settled Solids. ACS ES T Water. 2022; 2(11):1944-1952. PMC: 8938836. DOI: 10.1021/acsestwater.2c00003. View

5.
Wu F, Lee W, Chen H, Gu X, Chandra F, Armas F . Making waves: Wastewater surveillance of SARS-CoV-2 in an endemic future. Water Res. 2022; 219:118535. PMC: 9062764. DOI: 10.1016/j.watres.2022.118535. View