Evidence map›Paper›PMID 32694130›Full record

ArticlemSystems2020

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

Fuqing Wu, Jianbo Zhang, Amy Xiao, Xiaoqiong Gu, Wei Lin Lee, Federica Armas, Kathryn Kauffman, William Hanage, Mariana Matus, Newsha Ghaeli and 9 more

Abstract read
In one paragraph

Article in mSystems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 504 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
504citing papers in PubMed, 6 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

504 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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444 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Fuqing WuCenter for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.ORCID https://orcid.org/0000-0002-2820-3550
Jianbo Zhang *Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Amy Xiao *Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Xiaoqiong GuSingapore-MIT Alliance for Research and Technology, National University of Singapore, Singapore.
Wei Lin LeeSingapore-MIT Alliance for Research and Technology, National University of Singapore, Singapore.
Federica ArmasSingapore-MIT Alliance for Research and Technology, National University of Singapore, Singapore.
Kathryn KauffmanUniversity at Buffalo, The State University of New York, Buffalo, New York, USA.
William HanageCenter for Communicable Disease Dynamics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Mariana MatusBiobot Analytics, Inc., Cambridge, Massachusetts, USA.
Newsha GhaeliBiobot Analytics, Inc., Cambridge, Massachusetts, USA.
Noriko EndoBiobot Analytics, Inc., Cambridge, Massachusetts, USA.
Claire DuvalletBiobot Analytics, Inc., Cambridge, Massachusetts, USA.
Mathilde PoyetCenter for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Katya MonizCenter for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Alex D WashburneSelva Analytics, LLC, Bozeman, Montana, USA.
Timothy B EricksonDivision of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Peter R ChaiDivision of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Janelle ThompsonSingapore Center for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore.
Eric J AlmCenter for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA ejalm@mit.edu.ORCID https://orcid.org/0000-0001-8294-9364

Funding

A novel robotic wastewater analysis system to quantify opioid exposure and treatment in residential communitiesR44DA051106 · NIDA · BIOBOT ANALYTICS, INC. · PI CHAI, PETER R, MATUS GARCIA, MARIANA G · 2020 to 2022
$1.5M
Development of Ingestible Biosensors to Enhance PrEP Adherence in Substance UsersK23DA044874 · NIDA · BRIGHAM AND WOMEN'S HOSPITAL · PI CHAI, PETER R · 2018 to 2022
$1.0M
NIDA NIH HHS K23 DA044874
6 · The paper itself

Abstract

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

Indexed as

COVID-19 prevalencePMMoVSARS-CoV-2viral titerswastewater

Identifiers

PMID32694130
PMCPMC7566278

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.