SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases

被引:627
作者
Wu, Fuqing [1 ,14 ,15 ]
Zhang, Jianbo [1 ,14 ]
Xiao, Amy [1 ,14 ,15 ]
Gu, Xiaoqiong [2 ,13 ]
Lee, Wei Lin [2 ,13 ]
Armas, Federica [2 ,13 ]
Kauffman, Kathryn [3 ]
Hanage, William [4 ]
Matus, Mariana [5 ]
Ghaeli, Newsha [5 ]
Endo, Noriko [5 ]
Duvallet, Claire [5 ]
Poyet, Mathilde [1 ,14 ,15 ]
Moniz, Katya [1 ,14 ,15 ]
Washburne, Alex D. [16 ]
Erickson, Timothy [6 ,7 ]
Chai, Peter [6 ,8 ,9 ]
Thompson, Janelle [10 ,11 ,13 ]
Alm, Eric [1 ,2 ,5 ,12 ,13 ,14 ,15 ]
机构
[1] MIT, Ctr Microbiome Informat & Therapeut, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[2] Natl Univ Singapore, Singapore MIT Alliance Res & Technol, Singapore, Singapore
[3] Univ Buffalo State Univ New York, Buffalo, NY USA
[4] Harvard TH Chan Sch Publ Hlth, Dept Epidemiol, Ctr Communicable Dis Dynam, Boston, MA USA
[5] Biobot Analyt Inc, Cambridge, MA 02139 USA
[6] Harvard Med Sch, Brigham & Womens Hosp, Dept Emergency Med, Div Med Toxicol, Boston, MA 02115 USA
[7] Harvard Humanitarian Inst, Cambridge, MA USA
[8] Fenway Inst, Boston, MA USA
[9] MIT, Koch Inst Integrated Canc Res, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[10] Nanyang Technol Univ, Singapore Ctr Environm Life Sci Engn, Singapore, Singapore
[11] Nanyang Technol Univ, Asian Sch Environm, Singapore, Singapore
[12] Broad Inst MIT & Harvard, Cambridge, MA 02142 USA
[13] Campus Res Excellence & Technol Enterprise, Singapore, Singapore
[14] MIT, Dept Biol Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[15] MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[16] Selva Analyt LLC, Bozeman, MT USA
关键词
COVID-19; prevalence; PMMoV; SARS-CoV-2; viral titers; wastewater; VIRUSES; SEWAGE; RNA;
D O I
10.1128/mSystems.00614-20
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Wastewater 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 N 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 S 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. IMPORTANCE 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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页数:9
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