SARS-CoV-2 RNA concentrations in wastewater foreshadow dynamics and clinical presentation of new COVID-19 cases.

Convolution model Foreshadow Longitudinal SARS-CoV-2 Viral shedding Wastewater surveillance

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
20 Jan 2022
Historique:
received: 19 06 2021
revised: 30 08 2021
accepted: 31 08 2021
pubmed: 18 9 2021
medline: 25 11 2021
entrez: 17 9 2021
Statut: ppublish

Résumé

Current estimates of COVID-19 prevalence are largely based on symptomatic, clinically diagnosed cases. The existence of a large number of undiagnosed infections hampers population-wide investigation of viral circulation. Here, we quantify the SARS-CoV-2 concentration and track its dynamics in wastewater at a major urban wastewater treatment facility in Massachusetts, between early January and May 2020. SARS-CoV-2 was first detected in wastewater on March 3. SARS-CoV-2 RNA concentrations in wastewater correlated with clinically diagnosed new COVID-19 cases, with the trends appearing 4-10 days earlier in wastewater than in clinical data. We inferred viral shedding dynamics by modeling wastewater viral load as a convolution of back-dated new clinical cases with the average population-level viral shedding function. The inferred viral shedding function showed an early peak, likely before symptom onset and clinical diagnosis, consistent with emerging clinical and experimental evidence. This finding suggests that SARS-CoV-2 concentrations in wastewater may be primarily driven by viral shedding early in infection. This work shows that longitudinal wastewater analysis can be used to identify trends in disease transmission in advance of clinical case reporting, and infer early viral shedding dynamics for newly infected individuals, which are difficult to capture in clinical investigations.

Identifiants

pubmed: 34534872
pii: S0048-9697(21)05196-2
doi: 10.1016/j.scitotenv.2021.150121
pmc: PMC8416286
pii:
doi:

Substances chimiques

RNA, Viral 0
Waste Water 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

150121

Subventions

Organisme : NIDA NIH HHS
ID : K23 DA044874
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI106786
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM130668
Pays : United States
Organisme : NIDA NIH HHS
ID : R44 DA051106
Pays : United States

Informations de copyright

Copyright © 2021. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: MM and NG are cofounders of Biobot Analytics. EJA is advisor to Biobot Analytics. CD, KAM, KF, and NE are employees at Biobot Analytics, and all these authors hold shares in the company. PRC and TBE have a financial interest in Biobot Analytics, a company engaged in the collection and analysis of wastewater to develop epidemiological data. PRC and TBE's interests were reviewed and are managed by Brigham and Women's Hospital and Mass General Brigham in accordance with their conflict-of-interest policies.

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Auteurs

Fuqing Wu (F)

Department of Biological Engineering, Massachusetts Institute of Technology, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, USA.

Amy Xiao (A)

Department of Biological Engineering, Massachusetts Institute of Technology, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, USA.

Jianbo Zhang (J)

Department of Biological Engineering, Massachusetts Institute of Technology, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, USA.

Katya Moniz (K)

Department of Biological Engineering, Massachusetts Institute of Technology, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, USA.

Noriko Endo (N)

Biobot Analytics, Inc., Cambridge, MA, USA.

Federica Armas (F)

Singapore-MIT Alliance for Research and Technology, Antimicrobial Resistance Interdisciplinary Research Group, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), Singapore.

Richard Bonneau (R)

Center for Data Science NYU, Center for Social Media and Politics, New York University, USA.

Megan A Brown (MA)

Center for Data Science NYU, Center for Social Media and Politics, New York University, USA.

Mary Bushman (M)

Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Peter R Chai (PR)

Division of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, USA; The Fenway Institute, Fenway Health, Boston, MA, USA.

Claire Duvallet (C)

Biobot Analytics, Inc., Cambridge, MA, USA.

Timothy B Erickson (TB)

Division of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, USA; Harvard Humanitarian Initiative, Harvard University, USA.

Katelyn Foppe (K)

Biobot Analytics, Inc., Cambridge, MA, USA.

Newsha Ghaeli (N)

Biobot Analytics, Inc., Cambridge, MA, USA.

Xiaoqiong Gu (X)

Singapore-MIT Alliance for Research and Technology, Antimicrobial Resistance Interdisciplinary Research Group, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), Singapore.

William P Hanage (WP)

Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Katherine H Huang (KH)

Broad Institute of MIT and Harvard, Cambridge, MA, USA.

Wei Lin Lee (WL)

Singapore-MIT Alliance for Research and Technology, Antimicrobial Resistance Interdisciplinary Research Group, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), Singapore.

Mariana Matus (M)

Biobot Analytics, Inc., Cambridge, MA, USA.

Kyle A McElroy (KA)

Biobot Analytics, Inc., Cambridge, MA, USA.

Jonathan Nagler (J)

Center for Data Science NYU, Center for Social Media and Politics, New York University, USA.

Steven F Rhode (SF)

Massachusetts Water Resources Authority, Boston, MA, USA.

Mauricio Santillana (M)

Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA; Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.

Joshua A Tucker (JA)

Center for Data Science NYU, Center for Social Media and Politics, New York University, USA.

Stefan Wuertz (S)

Campus for Research Excellence and Technological Enterprise (CREATE), Singapore; Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore; School of Civil and Environmental Enginering, Nanyang Technological University, Singapore.

Shijie Zhao (S)

Department of Biological Engineering, Massachusetts Institute of Technology, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, USA.

Janelle Thompson (J)

Campus for Research Excellence and Technological Enterprise (CREATE), Singapore; Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore; Asian School of the Environment, Nanyang Technological University, Singapore.

Eric J Alm (EJ)

Department of Biological Engineering, Massachusetts Institute of Technology, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, USA; Singapore-MIT Alliance for Research and Technology, Antimicrobial Resistance Interdisciplinary Research Group, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), Singapore; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Electronic address: ejalm@mit.edu.

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