Evidence map›Paper›PMID 38936269›Full record

ArticleWater research2024

Quantitative microbial risk assessment (QMRA) tool for modelling pathogen infection risk to wastewater treatment plant workers.

Ashley Heida, Rasha Maal-Bared, Marc Veillette, Caroline Duchaine, Kelly A Reynolds, Ahamed Ashraf, Olusola O Ogunseye, Yoonhee Jung, Lester Shulman, Luisa Ikner and 3 more

Erratum issuedAbstract read
In one paragraph

Article in Water research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Ashley HeidaSchool for Engineering of Matter, Transport and Energy, Arizona State University, 502 E Tyler Mall, Tempe, AZ 85287, USA; The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, 1001 S. McAllister Ave, Tempe, AZ 85281, USA.
Rasha Maal-BaredBellevue Research and Testing Laboratory, CDM Smith, 14432 SE Eastgate Way Suite 100, Bellevue, WA 98007, USA.
Marc VeilletteDepartment of biochemistry, microbiology and bioinformatics, Université Laval, Canada Research Chair on Bioaerosols, Quebec City, Canada.
Caroline DuchaineDepartment of biochemistry, microbiology and bioinformatics, Université Laval, Canada Research Chair on Bioaerosols, Quebec City, Canada.
Kelly A ReynoldsDepartment of Community, Environment, & Policy, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
Ahamed AshrafDepartment of Community, Environment, & Policy, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
Olusola O OgunseyeDepartment of Community, Environment, & Policy, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
Yoonhee JungDepartment of Community, Environment, & Policy, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
Lester ShulmanCentral Virology Laboratory, Sheba Medical Center, Tel Hashomer, Ramat Gan 52621, Israel; School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel.
Luisa IknerDepartment of Environmental Science, College of Agricultre, Life & Environmental Sciences, University of Arizona, Tucson, AZ, USA.
Walter BetancourtDepartment of Environmental Science, College of Agricultre, Life & Environmental Sciences, University of Arizona, Tucson, AZ, USA.
Kerry A HamiltonThe Biodesign Institute Center for Environmental Health Engineering, Arizona State University, 1001 S. McAllister Ave, Tempe, AZ 85281, USA; School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ 85281, USA.
Amanda M WilsonDepartment of Community, Environment, & Policy, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA. Electronic address: amwilson2@arizona.edu.

Funding

SOUTHWEST ENVIRONMENTAL HEALTH SCIENCES CENTERP30ES006694 · NIEHS · UNIVERSITY OF ARIZONA · PI George S Watts · 1994 to 2026
$36.7M
Wastewater Analysis of SARS CoV-2 in Tribal CommunitiesU01DA053976 · NIDA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI CONROY-BEN, OTAKUYE, HALDEN, ROLF U · 2021 to 2022
$2.8M
NIDA NIH HHS U01 DA053976NIEHS NIH HHS P30 ES006694
6 · The paper itself

Abstract

Wastewater treatment plants (WWTPs) provide vital services to the public by removing contaminants from wastewater prior to environmental discharge or reuse for beneficial purposes. WWTP workers occupationally exposed to wastewater can be at risk of respiratory or gastrointestinal diseases. The study objectives were to: (1) quantify pathogens and pathogen indicators in wastewater aerosols near different WWTP processes/unit operations, (2) develop a QMRA model for multi-pathogen and multi-exposure pathway risks, and (3) create a web-based application to perform and communicate risk calculations for wastewater workers. Case studies for seven different WWTP job tasks were performed investigating infection risk across nine different enteric and respiratory pathogens. It was observed that the ingestion risk among job tasks was highest for "walking the WWTP," which involved exposure from splashing, bioaerosols, and hand-to-mouth contact from touching contaminated surfaces. There was also a notable difference in exposure risk during peak (5:00am-9:00am) and non-peak hours (9:00am- 5:00am), with risks during the peak flow hours of the early morning assumed to be 5 times greater than non-peak hours. N95 respirator usage reduced median respiratory risks by 77 %. The developed tool performs multiple QMRA calculations to estimate WWTP workers' infection risks from accidental ingestion or inhalation of wastewater from multiple pathogens and exposure scenarios, which can inform risk management strategies to protect occupational health. However, more data are needed to reduce uncertainty in model estimates, including comparative data for pathogen concentrations in wastewater during peak and non-peak hours. QMRA tools will increase accessibility of risk models for utilization in decision-making.

Indexed as

Occupational ExposureWastewaterHumansModels, TheoreticalRisk AssessmentWaste Disposal, FluidWater PurificationWastewaterExposure modelingPathogenic microorganisms & exposurePublic healthSewageWorkplace exposures

Identifiers

PMID38936269
PMCPMC11657630

What OpenQuestion holds

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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.