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Quantitative microbial risk assessment (QMRA) tool for modelling pathogen infection risk to wastewater treatment plant workers.
Heida, Ashley; Maal-Bared, Rasha; Veillette, Marc; Duchaine, Caroline; Reynolds, Kelly A; Ashraf, Ahamed; Ogunseye, Olusola O; Jung, Yoonhee; Shulman, Lester; Ikner, Luisa; Betancourt, Walter; Hamilton, Kerry A; Wilson, Amanda M.
Affiliation
  • Heida A; School 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.
  • Maal-Bared R; Bellevue Research and Testing Laboratory, CDM Smith, 14432 SE Eastgate Way Suite 100, Bellevue, WA 98007, USA.
  • Veillette M; Department of biochemistry, microbiology and bioinformatics, Université Laval, Canada Research Chair on Bioaerosols, Quebec City, Canada.
  • Duchaine C; Department of biochemistry, microbiology and bioinformatics, Université Laval, Canada Research Chair on Bioaerosols, Quebec City, Canada.
  • Reynolds KA; Department of Community, Environment, & Policy, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
  • Ashraf A; Department of Community, Environment, & Policy, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
  • Ogunseye OO; Department of Community, Environment, & Policy, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
  • Jung Y; Department of Community, Environment, & Policy, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
  • Shulman L; Central 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.
  • Ikner L; Department of Environmental Science, College of Agricultre, Life & Environmental Sciences, University of Arizona, Tucson, AZ, USA.
  • Betancourt W; Department of Environmental Science, College of Agricultre, Life & Environmental Sciences, University of Arizona, Tucson, AZ, USA.
  • Hamilton KA; The 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.
  • Wilson AM; Department of Community, Environment, & Policy, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA. Electronic address: amwilson2@arizona.edu.
Water Res ; 260: 121858, 2024 May 30.
Article in En | MEDLINE | ID: mdl-38936269
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 (500am-900am) and non-peak hours (900am- 500am), 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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Water Res Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Water Res Year: 2024 Document type: Article Affiliation country:
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