Application of Monte Carlo simulation and quantitative microbial risk approach to investigate seasonal variation of airborne particulate matter and bioaerosols in medical waste management department and wastewater treatment plant of Iranian hospitals

This study addresses a significant knowledge gap by conducting a thorough analysis of pollutants in hospital environments and utilizing advanced risk assessment models to evaluate their health impacts on workers for the first time. The study aimed to assess the concentration of particulate matter (PM 1 – 2.5 , PM 0.5 – 1 , PM 0.25 – 0.5 , and PM ˂0.25 ) and bioaerosols (bacteria and fungi) in the air around waste disposal departments and wastewater treatment plants of selected hospitals in Bushehr city, Iran, during different seasons. A probabilistic risk assessment using Monte Carlo simulation and the Disability-Adjusted Life Years (DALYs) model was employed to evaluate the health risks of PM and bioaerosols on workers. The study collected 32 PM samples and 132 bioaerosol samples using a four-stage impactor and a single-stage Anderson sampler, respectively. The results showed that the highest concentration of PM was found in PM 1 – 2.5 , measuring 119.4 μg/m 3 , while bacteria and fungi concentrations were 617 and 756 CFU/m 3 , respectively. Additionally, larger PM sizes were more prevalent, and bacterial levels exceeded those of fungi in the wards. Waste disposal sections in hospitals exhibited higher pollution levels of PM, bacteria, and fungi compared to wastewater treatment plants, especially during summer. Bioaerosol levels exceeded existing standards in the surrounding air of these departments Risk values surpassed acceptable thresholds, indicating significant health concerns. Sensitivity analysis revealed that concentration (C) and exposure duration (ED) parameters had the most significant impact on worker health assessment. • PM and bioaerosols investigated in wastewater treatment and waste disposal sites. • The Monte Carlo simulation and DALYs model were used for risk assessment. • For the first time, fine size-fractioned PM determined in air of hospital wards. • The highest PM and bioaerosol observed at waste disposal sites in summer and autumn. • The risk values surpassed the threshold levels (ELCR≥10 −5 , HQ > 1, P y ≥ 10 −4 , DB ≥ 10 −6 ).

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Publication Details

Journal
Results in Chemistry
Published
2025-03-18
DOI
https://doi.org/10.1016/j.rechem.2025.102196
Citations
2
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
2.40
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article

Application of Monte Carlo simulation and quantitative microbial risk approach to investigate seasonal variation of airborne particulate matter and bioaerosols in medical waste management department and wastewater treatment plant of Iranian hospitals

Roshanak Rezaei Kalantary, Mahbubeh Tangestani, Hossein Arfaeinia, Majid Kermani et al.
2 citations
Results in Chemistry
Air Quality and Health Impacts
2.40
article

Application of Monte Carlo simulation and quantitative microbial risk approach to investigate seasonal variation of airborne particulate matter and bioaerosols in medical waste management department and wastewater treatment plant of Iranian hospitals

Roshanak Rezaei Kalantary, Mahbubeh Tangestani, Hossein Arfaeinia, Majid Kermani, Ahmad Jonidi Jafari
article en
2 citations

Abstract

This study addresses a significant knowledge gap by conducting a thorough analysis of pollutants in hospital environments and utilizing advanced risk assessment models to evaluate their health impacts on workers for the first time. The study aimed to assess the concentration of particulate matter (PM 1 – 2.5 , PM 0.5 – 1 , PM 0.25 – 0.5 , and PM ˂0.25 ) and bioaerosols (bacteria and fungi) in the air around waste disposal departments and wastewater treatment plants of selected hospitals in Bushehr city, Iran, during different seasons. A probabilistic risk assessment using Monte Carlo simulation and the Disability-Adjusted Life Years (DALYs) model was employed to evaluate the health risks of PM and bioaerosols on workers. The study collected 32 PM samples and 132 bioaerosol samples using a four-stage impactor and a single-stage Anderson sampler, respectively. The results showed that the highest concentration of PM was found in PM 1 – 2.5 , measuring 119.4 μg/m 3 , while bacteria and fungi concentrations were 617 and 756 CFU/m 3 , respectively. Additionally, larger PM sizes were more prevalent, and bacterial levels exceeded those of fungi in the wards. Waste disposal sections in hospitals exhibited higher pollution levels of PM, bacteria, and fungi compared to wastewater treatment plants, especially during summer. Bioaerosol levels exceeded existing standards in the surrounding air of these departments Risk values surpassed acceptable thresholds, indicating significant health concerns. Sensitivity analysis revealed that concentration (C) and exposure duration (ED) parameters had the most significant impact on worker health assessment. • PM and bioaerosols investigated in wastewater treatment and waste disposal sites. • The Monte Carlo simulation and DALYs model were used for risk assessment. • For the first time, fine size-fractioned PM determined in air of hospital wards. • The highest PM and bioaerosol observed at waste disposal sites in summer and autumn. • The risk values surpassed the threshold levels (ELCR≥10 −5 , HQ > 1, P y ≥ 10 −4 , DB ≥ 10 −6 ).

Results in ChemistryVol. 15
Iran University of Medical Sciences (IR), Bushehr University of Medical Sciences (IR)
Clean water and sanitation
Openalex Percentile: Top 14%
Air Quality and Health Impacts
2.40
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