The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases
Open accessPublished version of a preprint
Abstract
Wastewater-based surveillance is a promising approach for proactive outbreak monitoring. SARS-CoV-2 is shed in stool early in the clinical course and infects a large asymptomatic population, making it an ideal target for wastewater-based monitoring. In this study, we develop a laboratory protocol to quantify viral titers in raw sewage via qPCR analysis and validate results with sequencing analysis. Our results suggest that the number of positive cases estimated from wastewater viral titers is orders of magnitude greater than the number of confirmed clinical cases and therefore may significantly impact efforts to understand the case fatality rate and progression of disease. These data may help inform decisions surrounding the advancement or scale-back of social distancing and quarantine efforts based on dynamic wastewater catchment-level estimations of prevalence.
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Virological assessment of hospitalized patients with COVID-2019
Wölfel, R., Corman, V. M., Guggemos, W., Seilmaier, M., Zange, S., Müller, M. A., Niemeyer, D., Jones, T. C., Vollmar, P., Rothe, C., et al. (2020) · Nature · doi:10.1038/s41586-020-2196-x · Cited by 6,661
Li, R., Pei, S., Chen, B., Song, Y., Zhang, T., Yang, W., & Shaman, J. (2020) · Science · doi:10.1126/science.abb3221 · Cited by 3,633
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Cited by
SARS-CoV-2 RNA in wastewater anticipated COVID-19 occurrence in a low prevalence area
Randazzo, W., Truchado, P., Cuevas-Ferrando, E., Simón, P., Allende, A., & Sánchez, G. (2020) · Water Research · doi:10.1016/j.watres.2020.115942 · Cited by 1,121
SARS-CoV-2 in wastewater: State of the knowledge and research needs
Kitajima, M., Ahmed, W., Bibby, K., Carducci, A., Gerba, C. P., Hamilton, K. A., Haramoto, E., & Rose, J. B. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.139076 · Cited by 759
COVID pollution: impact of COVID-19 pandemic on global plastic waste footprint
Benson, N. U., Bassey, D. E., & Palanisami, T. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e06343 · Cited by 623
Kumar, M., Patel, A. K., Shah, A. V., Raval, J., Rajpara, N., Joshi, M., & Joshi, C. G. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.141326 · Cited by 474
COVID-19 surveillance in Southeastern Virginia using wastewater-based epidemiology
Gonzalez, R., Curtis, K., Bivins, A., Bibby, K., Weir, M. H., Yetka, K., Thompson, H., Keeling, D., Mitchell, J., & Gonzalez, D. (2020) · Water Research · doi:10.1016/j.watres.2020.116296 · Cited by 435
Metadata
- Authors
- Wu, F., Zhang, J., Xiao, A., Gu, X., Lee, W. L., Armas, F., Kauffman, K., Hanage, W., Matus, M., Ghaeli, N., Endo, N., Duvallet, C., Poyet, M., Moniz, K., Washburne, A. D., Erickson, T. B., Chai, P. R., Thompson, J., & Alm, E. J.
- Venue
- mSystems
- Publisher
- American Society for Microbiology
- Published
- 2020-08-25
- Volume
- 5
- Issue
- 4
- ISSN
- 2379-5077 (ISSN-L)
- OpenAlex
- W3044459694
- Cited by
- 861
- References
- 2
- FWCI
- 22.00
- Type
- journal article
- Language
- en
- Open access
- gold
- Licence
- creativecommons.org/licenses/by/4.0/ (vor)
- journals.asm.org/non-commercial-tdm-license (tdm)
- Funders
- Intra-create thematic grant (NRF2019-THE001-0003a)
- Center for microbiome innformatics and therapeutics
- Massachusetts consortium on Pathogen Readiness (MassCPR) and China Evergrande Group
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- The paper
- Wu, F., Zhang, J., Xiao, A., Gu, X., Lee, W. L., Armas, F., Kauffman, K., Hanage, W., Matus, M., Ghaeli, N., Endo, N., Duvallet, C., Poyet, M., Moniz, K., Washburne, A. D., Erickson, T. B., Chai, P. R., Thompson, J., & Alm, E. J. (2020). SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases. mSystems. https://doi.org/10.1128/msystems.00614-20
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
