Evidence map›Paper›PMID 34927170›Full record

ArticlePLOS global public health2021

Wastewater network infrastructure in public health: Applications and learnings from the COVID-19 pandemic.

Nour Sharara, Noriko Endo, Claire Duvallet, Newsha Ghaeli, Mariana Matus, Jennings Heussner, Scott W Olesen, Eric J Alm, Peter R Chai, Timothy B Erickson

Abstract read
In one paragraph

Article in PLOS global public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–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

28 citing papers in PubMed.

  1. Article
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  5. Microorganisms · 2025
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  8. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Nour ShararaBiobot Analytics, Inc., Cambridge, Massachusetts, United States of America.ORCID 0000-0002-0647-7622
Noriko EndoBiobot Analytics, Inc., Cambridge, Massachusetts, United States of America.ORCID 0000-0003-4123-0489
Claire DuvalletBiobot Analytics, Inc., Cambridge, Massachusetts, United States of America.ORCID 0000-0002-8093-8394
Newsha GhaeliBiobot Analytics, Inc., Cambridge, Massachusetts, United States of America.
Mariana MatusBiobot Analytics, Inc., Cambridge, Massachusetts, United States of America.
Jennings HeussnerBiobot Analytics, Inc., Cambridge, Massachusetts, United States of America.
Scott W OlesenBiobot Analytics, Inc., Cambridge, Massachusetts, United States of America.ORCID 0000-0001-5400-4945
Eric J AlmDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Peter R ChaiDivision of Medical Toxicology, Department of Emergency Medicine, Mass General Brigham, Harvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0003-0955-4117
Timothy B EricksonDivision of Medical Toxicology, Department of Emergency Medicine, Mass General Brigham, Harvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0002-1809-4805

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 DA044874NIDA NIH HHS R44 DA051106
6 · The paper itself

Abstract

Accurate estimates of COVID-19 burden of infections in communities can inform public health strategy for the current pandemic. Wastewater based epidemiology (WBE) leverages sewer infrastructure to provide insights on rates of infection by measuring viral concentrations in wastewater. By accessing the sewer network at various junctures, important insights regarding COVID-19 disease activity can be gained. The analysis of sewage at the wastewater treatment plant level enables population-level surveillance of disease trends and virus mutations. At the neighborhood level, WBE can be used to describe trends in infection rates in the community thereby facilitating local efforts at targeted disease mitigation. Finally, at the building level, WBE can suggest the presence of infections and prompt individual testing. In this critical review, we describe the types of data that can be obtained through varying levels of WBE analysis, concrete plans for implementation, and public health actions that can be taken based on WBE surveillance data of infectious diseases, using recent and successful applications of WBE during the COVID-19 pandemic for illustration.

Identifiers

PMID34927170
PMCPMC8682811

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.