Evidence map›Paper›PMID 36044189›Full record

ArticleJournal of water and health2022

Modeling infection from SARS-CoV-2 wastewater concentrations: promise, limitations, and future directions.

Jeffrey Soller, Wiley Jennings, Mary Schoen, Alexandria Boehm, Krista Wigginton, Raul Gonzalez, Katherine E Graham, Graham McBride, Amy Kirby, Mia Mattioli

Abstract read
In one paragraph

Article in Journal of water and health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Jeffrey SollerSoller Environmental, LLC, 3022 King St, Berkeley, CA 94703, USA.
Wiley JenningsWaterborne Disease Prevention Branch, Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA E-mail: mmattioli@cdc.gov.
Mary SchoenSoller Environmental, LLC, 3022 King St, Berkeley, CA 94703, USA.
Alexandria BoehmStanford University Department of Civil and Environmental Engineering, Stanford, California, USA.
Krista WiggintonDepartment of Civil and Environmental Engineering, University of Michigan, Ann Arbor 48109, Michigan, USA.
Raul GonzalezHampton Roads Sanitation District, 1434 Air Rail Avenue, Virginia Beach, VA 23455, USA.
Katherine E GrahamStanford University Department of Civil and Environmental Engineering, Stanford, California, USA.
Graham McBrideNational Institute of Water & Atmospheric Research Ltd (NIWA), Hillcrest, Hamilton, New Zealand.
Amy KirbyWaterborne Disease Prevention Branch, Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA E-mail: mmattioli@cdc.gov.
Mia MattioliWaterborne Disease Prevention Branch, Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA E-mail: mmattioli@cdc.gov.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Estimating total infection levels, including unreported and asymptomatic infections, is important for understanding community disease transmission. Wastewater can provide a pooled community sample to estimate total infections that is independent of case reporting biases toward individuals with moderate to severe symptoms and by test-seeking behavior and access. We derive three mechanistic models for estimating community infection levels from wastewater measurements based on a description of the processes that generate SARS-CoV-2 RNA signals in wastewater and accounting for the fecal strength of wastewater through endogenous microbial markers, daily flow, and per-capita wastewater generation estimates. The models are illustrated through two case studies of wastewater data collected during 2020-2021 in Virginia Beach, VA, and Santa Clara County, CA. Median simulated infection levels generally were higher than reported cases, but at times, were lower, suggesting a discrepancy between the reported cases and wastewater data, or inaccurate modeling results. Daily simulated infection estimates showed large ranges, in part due to dependence on highly variable clinical viral fecal shedding data. Overall, the wastewater-based mechanistic models are useful for normalization of wastewater measurements and for understanding wastewater-based surveillance data for public health decision-making but are currently limited by lack of robust SARS-CoV-2 fecal shedding data.

Indexed as

COVID-19SARS-CoV-2FecesHumansRNA, ViralWastewaterRNA, ViralWastewater

Identifiers

PMID36044189
PMCPMC10911093

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.