Literature DB >> 36254289

Assessment of rotavirus and norovirus emitted from water spray park: QMRA, diseases burden and sensitivity analysis.

Hasan Pasalari1,2, Hesam Akbari1, Angila Ataei-Pirkooh3, Amir Adibzadeh1,4, Hamed Akbari1.   

Abstract

A quantitative model on exposure to pathogenic viruses in air of recreational area and their corresponding health effects is necessary to provide mitigation actions in content of emergency response plans (ERP). Here, the health risk associated with exposure to two pathogenic viruses of concern: Rotavirus (RoV) and Norovirus (NoV) in air of water spray park were estimated using a quantitative microbial risk assessment (QMRA) model. To this end, real-time Reverse Transcriptase polymerase chain reaction (real-time RT-PCR) was employed to measure the concentration levels of RoV and NoV over a twelve-month period. The probability of infection, illness and diseases burden of gastrointestinal illness (GI) caused by RoV and NoV for both workers and visitors were estimated using QMRA and Monto-Carlo simulation technique. The annual mean concentration for RoV and NoV in sampling air of water spray park were 20and 1754, respectively. The %95 confidence interval (CI) calculated annual DALY indicator for RoV (Workers: 2.62 × 10-4-2.62 × 10-1, Visitors: 1.50 × 10-5-2.42 × 10-1) and NoV (Workers: 5.54 × 10-3-2.53 × 10-1; Visitors: 5.18 × 10-4-2.54 × 10-1) were significantly higher the recommended values by WHO and US EPA (10-6-10-4 DALY pppy). According to sensitivity analysis, exposure dose and disease burden per case (DBPC) were found as the most influencing factors on disease burden as a consequences of exposure to RoV and NoV, respectively. The comprehensive information on DALY and QMRA can aid authorities involved in risk assessment and recreational actions to adopt proper approach and mitigation actions to minimize the health risk.
© 2022 The Author(s).

Entities:  

Keywords:  Disability adjusted life years (DALY); Enteric viruses; Gastrointestinal illness; QMRA; Water spray park

Year:  2022        PMID: 36254289      PMCID: PMC9568861          DOI: 10.1016/j.heliyon.2022.e10957

Source DB:  PubMed          Journal:  Heliyon        ISSN: 2405-8440


  43 in total

1.  Site-related airborne biological hazard and seasonal variations in two wastewater treatment plants.

Authors:  Letizia Fracchia; Stefano Pietronave; Maurizio Rinaldi; Maria Giovanna Martinotti
Journal:  Water Res       Date:  2006-05-06       Impact factor: 11.236

2.  Application of QMRA to prioritise water supplies for Cryptosporidium risk in New South Wales, Australia.

Authors:  S Petterson; Z Bradford-Hartke; S Leask; L Jarvis; K Wall; P Byleveld
Journal:  Sci Total Environ       Date:  2021-04-16       Impact factor: 7.963

3.  Quantification of microbial risks to human health caused by waterborne viruses and bacteria in an urban slum.

Authors:  A Y Katukiza; M Ronteltap; P van der Steen; J W A Foppen; P N L Lens
Journal:  J Appl Microbiol       Date:  2013-11-05       Impact factor: 3.772

Review 4.  Synergy between quantitative microbial source tracking (qMST) and quantitative microbial risk assessment (QMRA): A review and prospectus.

Authors:  Qian Zhang; Javier Gallard; Baolei Wu; Valerie J Harwood; Michael J Sadowsky; Kerry A Hamilton; Warish Ahmed
Journal:  Environ Int       Date:  2019-07-08       Impact factor: 9.621

5.  Droplet distribution and airborne bacteria in an experimental shower unit.

Authors:  C E Estrada-Perez; K A Kinney; J P Maestre; Y A Hassan; M D King
Journal:  Water Res       Date:  2017-11-16       Impact factor: 11.236

6.  Applying QMRA and DALY to assess health risks from river bathing.

Authors:  Christian Timm; Stephan Luther; Lars Jurzik; Ibrahim Ahmed Hamza; Thomas Kistemann
Journal:  Int J Hyg Environ Health       Date:  2016-07-26       Impact factor: 5.840

7.  Microbial dose response modeling: past, present, and future.

Authors:  Charles N Haas
Journal:  Environ Sci Technol       Date:  2015-01-12       Impact factor: 9.028

8.  Application of quantitative microbial risk assessment for selection of microbial reduction targets for hard surface disinfectants.

Authors:  Michael O Ryan; Charles N Haas; Patrick L Gurian; Charles P Gerba; Brian M Panzl; Joan B Rose
Journal:  Am J Infect Control       Date:  2014-09-17       Impact factor: 2.918

Review 9.  Enteroviruses: Classification, Diseases They Cause, and Approaches to Development of Antiviral Drugs.

Authors:  O S Nikonov; E S Chernykh; M B Garber; E Yu Nikonova
Journal:  Biochemistry (Mosc)       Date:  2017-12       Impact factor: 2.487

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