Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Jul 1;15(1):21952.
doi: 10.1038/s41598-025-04182-2.

Seasonal evaluation of culturable bioaerosols and airborne particulate matter in Iranian hospital wards using a Monte Carlo health risk model

Ahmad Jonidi Jafari  1   2 , Mahbubeh Tangestani  3   4 , Sina Dobaradaran  5   6   7 , Majid Kermani  1   2 , Roshanak Rezaei Kalantary  1   2
Affiliations

Seasonal evaluation of culturable bioaerosols and airborne particulate matter in Iranian hospital wards using a Monte Carlo health risk model

Ahmad Jonidi Jafari et al. Sci Rep. .

Abstract

This study aimed to measure fine particulate matter (PM) concentrations and culturable bioaerosols (bacteria and fungi) in the indoor air of operating (OR) and emergency (EM) rooms, as well as internal wards (INT) in hospitals in Bushehr city, Iran. For the first time, the Monte Carlo model was employed to assess health risks associated with PM release into hospital indoor air, focusing on healthcare workers. A four-stage impactor and a one-step Anderson contact sampler were used to determine PM and bioaerosols, respectively. To assess the non-cancer risk associated with contaminants (PM), we calculated the Hazard Quotient (HQ). This evaluation was conducted using Crystal Ball software, which performed 1000 independent iterations at a 95% confidence level. The highest PM concentration recorded was 115.6 μg/m3 in the EM. Based on the results of the Monte Carlo, most calculated hazard quotient (HQ) values exceeded acceptable levels (< 1) for staff. The maximum concentrations of bacteria and fungi were 767 and 776 cfu/m3 in the EM during summer. A positive correlation was found between fungal levels and humidity in hospital wards. Additionally, PM concentrations of larger sizes and bacteria increased during visiting hours. Most bioaerosol concentrations were above the standard values recommended by WHO. As a result of this study, continuous monitoring and control of indoor air pollutants in these environments are vital to prevent various diseases in healthcare employees and patients.

Keywords: Bacteria; Fungi; Hospital; Indoor air; PM; Risk assessment.

PubMed Disclaimer

Conflict of interest statement

Declarations. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Location of sampling sites (Hospital A and B) within Bushehr City, Iran [Google Earth Pro, Visio: version 2502].
Fig. 2
Fig. 2
PM and bioaerosols sampling locations in different hospital wards (OR, EM, and INT wards).
Fig. 3
Fig. 3
Results of the Monte Carlo simulation related to PM health risks for workers in hospitals.
Fig. 3
Fig. 3
Results of the Monte Carlo simulation related to PM health risks for workers in hospitals.
Fig. 4
Fig. 4
The PM concentration of hospitals INT wards before/during visiting time in different seasons.
Fig. 5
Fig. 5
Results of the Monte Carlo simulation concerning health risks associated with PM exposure for hospital workers during visiting time.
Fig. 6
Fig. 6
Bacterial and fungal bioaerosols concentration (cfu/m3) before/during the vising time in INT wards of selected hospitals during different seasons.
See this image and copyright information in PMC

References

    1. Maji, S. et al. Short term effects of criteria air pollutants on daily mortality in Delhi, India. Atmos. Environ.150, 210–219 (2017). - DOI
    1. Klepeis, N. E. et al. The National Human Activity Pattern Survey (NHAPS): A resource for assessing exposure to environmental pollutants. J. Eposure Sci. Environ. Epidemiol.11(3), 231–252 (2001). - DOI - PubMed
    1. Mohammadyan, M. et al. Particulate air pollution at schools: Indoor–outdoor relationship and determinants of indoor concentrations. Aerosol Air Qual. Res.17(3), 857–864 (2017). - DOI
    1. De Oliveira, B. F. A. et al. Risk assessment of PM2.5 to child residents in Brazilian Amazon region with biofuel production. Environ. Health11, 1–11 (2012). - DOI - PMC - PubMed
    1. Bukhari, S. S. I. & Ali, Z. Characterization of bioaerosols and particulate matter (PM) in residential settings of asthmatic patients of Lahore, Pakistan. Iran. J. Allergy Asthma Immunol.20(2), 147–159 (2021). - PubMed