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dc.contributor.authorWu, Fuqing
dc.contributor.authorZhang, Jianbo
dc.contributor.authorXiao, Amy
dc.contributor.authorGu, Xiaoqiong
dc.contributor.authorLee, Wei Lin
dc.contributor.authorArmas, Federica
dc.contributor.authorKauffman, Kathryn
dc.contributor.authorHanage, William
dc.contributor.authorMatus, Mariana
dc.contributor.authorGhaeli, Newsha
dc.contributor.authorEndo, Noriko
dc.contributor.authorDuvallet, Claire
dc.contributor.authorPoyet, Mathilde
dc.contributor.authorMoniz, Katya H
dc.contributor.authorWashburne, Alex D.
dc.contributor.authorErickson, Timothy B.
dc.contributor.authorChai, Peter R.
dc.contributor.authorThompson, Janelle
dc.contributor.authorAlm, Eric J
dc.date.accessioned2020-07-27T16:10:50Z
dc.date.available2020-07-27T16:10:50Z
dc.date.issued2020-07
dc.date.submitted2020-07
dc.identifier.issn2379-5077
dc.identifier.urihttps://hdl.handle.net/1721.1/126398
dc.description.abstractWastewater surveillance represents a complementary approach to clinical surveillance to measure the presence and prevalence of emerging infectious diseases like the novel coronavirus SARS-CoV-2. This innovative data source can improve the precision of epidemiological modeling to understand the penetrance of SARS-CoV-2 in specific vulnerable communities. Here, we tested wastewater collected at a major urban treatment facility in Massachusetts and detected SARS-CoV-2 RNA from the <jats:italic>N</jats:italic> gene at significant titers (57 to 303 copies per ml of sewage) in the period from 18 to 25 March 2020 using RT-qPCR. We validated detection of SARS-CoV-2 by Sanger sequencing the PCR product from the <jats:italic>S</jats:italic> gene. Viral titers observed were significantly higher than expected based on clinically confirmed cases in Massachusetts as of 25 March. Our approach is scalable and may be useful in modeling the SARS-CoV-2 pandemic and future outbreaks.</jats:p> <jats:p><jats:bold>IMPORTANCE</jats:bold> 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.en_US
dc.language.isoen
dc.publisherAmerican Society for Microbiologyen_US
dc.relation.isversionofhttp://dx.doi.org/10.1128/msystems.00614-20en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourcemSystemsen_US
dc.titleSARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Casesen_US
dc.typeArticleen_US
dc.identifier.citationWu, Fuqing et al. "SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases." mSystems 5, 4 (July 2020): e00614-20. © 2020 The Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Microbiome Informatics and Therapeuticsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.contributor.departmentBroad Institute of MIT and Harvarden_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.relation.journalmSystemsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-07-27T15:08:02Z
dspace.date.submission2020-07-27T15:08:04Z
mit.journal.volume5en_US
mit.journal.issue4en_US
mit.licensePUBLISHER_CC
mit.metadata.statusComplete


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