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Cited by 435

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

COVID-19 surveillance in Southeastern Virginia using wastewater-based epidemiology

Open access
Gonzalez, Raul, Curtis, Kyle, Bivins, Aaron, Bibby, Kyle, Weir, Mark H., Yetka, Kathleen, Thompson, Hannah, Keeling, David, Mitchell, Jamie, Gonzalez, Dana·2020·Water Research
DOI 10.1016/j.watres.2020.116296
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Abstract

Wastewater-based epidemiology (WBE) has been used to analyze markers in wastewater treatment plant (WWTP) influent to characterize emerging chemicals, drug use patterns, or disease spread within communities. This approach can be particularly helpful in understanding outbreaks of disease like the novel Coronavirus disease-19 (COVID-19) when combined with clinical datasets. In this study, three RT-ddPCR assays (N1, N2, N3) were used to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in weekly samples from nine WWTPs in southeastern Virginia. In the first several weeks of sampling, SARS-CoV-2 detections were sporadic. Frequency of detections and overall concentrations of RNA within samples increased from mid March into late July. During the twenty-one week study, SARS-CoV-2 concentrations ranged from 101 to 104 copies 100 mL−1 in samples where viral RNA was detected. Fluctuations in population normalized loading rates in several of the WWTP service areas agreed with known outbreaks during the study. Here we propose several ways that data can be presented spatially and temporally to be of greatest use to public health officials. As the COVID-19 pandemic wanes, it is likely that communities will see increased incidence of small, localized outbreaks. In these instances, WBE could be used as a pre-screening tool to better target clinical testing needs in communities with limited resources.

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Metadata

Authors
Gonzalez, R., Curtis, K., Bivins, A., Bibby, K., Weir, M. H., Yetka, K., Thompson, H., Keeling, D., Mitchell, J., & Gonzalez, D.
Venue
Water Research
Publisher
Elsevier BV
Published
2020-11
Volume
186
Pages
116296
ISSN
0043-1354 (ISSN-L)
DOI
10.1016/j.watres.2020.116296
OpenAlex
W3048642464
Cited by
435
References
35
FWCI
10.26
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: COVID-19 surveillance in Southeastern Virginia using wastewater-based epidemiology. https://app.cochat.ai/papers/10.1016/j.watres.2020.116296
The paper
Gonzalez, R., Curtis, K., Bivins, A., Bibby, K., Weir, M. H., Yetka, K., Thompson, H., Keeling, D., Mitchell, J., & Gonzalez, D. (2020). COVID-19 surveillance in Southeastern Virginia using wastewater-based epidemiology. Water Research. https://doi.org/10.1016/j.watres.2020.116296

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.