International Scientific Journal


The health effects attributed to exposure to ambient PM2.5 concentrations above 10 μg/m3 by using the AirQ+ modeling software were assessed. The hourly concentrations of PM2.5 were collected from 13 air pollution monitoring stations in the Belgrade district during June and July 2021., which were further used as input data for the AirQ+ software. The average concentration of PM2.5 for two-month monitoring from all sampling sites in the city was 14.8 μg/m3, the maximum daily concentration was 55.7 μg/m3, while the maximum concentration per hour was 365 mg/m3. The spatial distribution of concentrations was mapped using geostatistical interpolation, revealing hotspots within the city center and industrial area of the district. The burden of disease, such as stroke, ischemic heart disease (IHD), chronic obstructive pulmonary disease (COPD), and lung cancer, due to the ambient PM2.5 pollution was evaluated according to the WHO method-ology for health risk assessment of air pollution. The model used for this assessment is based on the attributable proportion defined as the section of the health effect related to exposure to air pollution in an at-risk population. The estimated attributable proportion was 19.4% for stroke, 27.2% for IHD, 15.3% for COPD and 9.0% for lung cancer. The estimated number of attributable cases per 100000 population at risk, due to PM2.5 air pollution, for stroke, IHD, COPD, and lung cancer, was 28, 34, 15, and 8, respectively.
PAPER REVISED: 2022-12-30
PAPER ACCEPTED: 2023-01-05
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THERMAL SCIENCE YEAR 2023, VOLUME 27, ISSUE Issue 3, PAGES [2265 - 2273]
  1. European Environment Agency, EEA Technical Report No 10/2019. Air Quality in Europe - 2019 Report. 2019
  2. World Health Organization. WHO global air uality guidelines particulate matter ( PM2.5 and PM10) , ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide. World Health Organization. License: CC BY-NC-SA 3.0 IGO. 2021
  3. Forouzanfar, M.H., et al., Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: A systematic analysis for the global Burden of disease study 2015. Lancet, 388 (2016), pp. 1659-1724
  4. Kappos, A.D., et al., Health effects of particles in ambient air. International Journal of Hygiene and Environmental Health, 207 (2004), pp. 399-407
  5. Bonyadi, Z., et al., Cardiovascular, respiratory, and total mortality attributed to PM2.5 in Mashhad, Iran. Environmental Monitoring and Assessment, 188 (2016) pp.570
  6. Burnett, R.T., et al., An integrated risk function for estimating the global burden of disease attributable to ambient fine particulate matter exposure. Environmental Health Perspectives, 122 (2014) pp. 397-403.
  7. Todorović, M.N., et al., Evaluation of mortality attributed to air pollution in the three most populated cities in Serbia. International Journal of Environmental Science and Technology, 16 (2019) pp. 7059-7070
  8. Jevtić, M., et al., Cardiovascular diseases and air pollution in Novi Sad, Serbia. International Journal of Occupational Medicine and Environmental Health, 27 (2014) pp. 153-164
  9. Martinez, G., et al., Health impacts and economic costs of air pollution in the metropolitan area of Skopje. International Journal of Environmental Research and Public Health, 15 (2018) pp. 626
  10. Todorović, M.N., et al., Characterization of PM2.5 sources in a Belgrade suburban area a multi-scale receptor-oriented approach. Environmental Science and Pollution Research, 27 (2020) pp. 41717-41730
  11. Amoatey, P., et al., Long-term exposure to ambient PM2.5 and health impacts in megacity of Rome, Italy. Clinical Epidemiology and Global Health, 8 (2020) pp. 531-535
  12. Hajizadeh, Y., et al., Concentrations and mortality due to short- and long-term exposure to PM2.5 in a megacity of Iran (2014-2019). Environmental Science and Pollution Research, 27 (2020) pp. 38004-38014
  13. Feng, L., et al., Spatiotemporal Changes in Fine Particulate Matter Pollution and the Associated Mortality Burden in China between 2015 and 2016. International Journal of Environmental Research and Public Health, 14 (2017) 1321
  14. Vohra, K., at al., Global mortality from outdoor fine particle pollution generated by fossil fuel combustion: Results from GEOS-Chem. Environmental Research, 195 (2021) 110754
  15. World Health Organization, WHO. Health risk assessment of air pollution. General principles 2016.
  16. Ćujić, M., et al., Radionuclides in the soil around the largest coal-fired power plant in Serbia: radiological hazard, relationship with soil characteristics and spatial distribution. Environmental Science and Pollution Research, 22 (2015) pp. 10317-10330
  17. Statistical Yearbook оf the Republic of Serbia 2021, Statistical Office of the Republic of Serbia, ISSN0354-4206, Belgrade, Serbia, 2021
  18. Health statistical yearbook of republic of Serbia 2020, Institute of public health of Serbia "Dr Milan Jovanovic Batut" ISSN 2217-3714 - online. Belgrade, Serbia, 2020
  19. Fattore, E., et al., Human health risk in relation to air quality in two municipalities in an industrialized area of Northern Italy. Environmental Research, 111 (2011) pp. 1321-1327
  20. Pascal, M., et al., Assessing the public health impacts of urban air pollution in 25 European cities: results of the Aphekom project. Science of the Total Environment, 449 (2013) pp. 390-400
  21. World Health Organization, WHO. AirQ+: Software tool for health risk assessment of air pollution. WHO 2018.
  22. Faridi, S., et al., Long-term trends and health impact of PM 2.5 and O 3 in Tehran, Iran, 2006-2015. Environment International, 114 (2018) pp. 37-49.
  23. Lazić, L., et al., Traffic contribution to air pollution in urban street canyons: Integrated application of the OSPM, moss biomonitoring and spectral analysis. Atmospheric Environment, 141 (2016) pp. 347-360.
  24. European Environment Agency, EEA, Directive 2008/50/EC of the European Parliament and of the Council of 21 May 2008 on ambient air quality and cleaner air for Europe. EEA 2008
  25. Annual Report on air quality in the Republic of Serbia in 2020, Environmental Protection Agency, ISSN 2334-8763, Belgrade, Serbia 2021
  26. Stanojević, G., et al., Spatio-temporal variability of annual pm2.5 concentrations and population exposure assessment in Serbia for the period 2001-2016. Journal of the Geographical Institute "Jovan Cvijić" SASA, 69 (2019) pp. 197-211
  27. Fang, D., et al., Mortality effects assessment of ambient PM2.5 pollution in the 74 leading cities of China. Science of the Total Environment, 569 (2016) pp. 1545-1552
  28. Chen, Z., et al., Understanding meteorological influences on PM2.5 concentrations across China: a temporal and spatial perspective. Atmospheric Chemistry and Physics, 18 (2018) pp. 5343-5358.
  29. European Environment Agency (EEA) online data code: SDG_11_50
  30. Afghan, F. R., Patidar, S. K. Health Impacts Assessment due to PM2.5, PM10 and NO2 Exposure in National Capital Territory (NCT) Delhi. Pollution, 6 (2020) pp. 115-126
  31. Lo, W.C., et al., Burden of disease attributable to ambient fine particulate matter exposure in Taiwan. Journal of the Formosan Medical Association, 116 (2017) pp. 32-40
  32. Khaniabadi, Y. O., Sicard, P. A 10-year assessment of ambient fine particles and related health endpoints in a large Mediterranean city. Chemosphere, 278 (2021) 130502
  33. Matković, V., et al., Premature Adult Mortality and Years of Life Lost Attributed to Long-Term Exposure to Ambient Particulate Matter Pollution and Potential for Mitigating Adverse Health Effects in Tuzla and Lukavac, Bosnia and Herzegovina. Atmosphere, 11 (2020) pp. 1107
  34. Shen, L., et al., Changes in the Distribution Pattern of PM2.5 Pollution over Central China. Remote Sensing, 13 (2021) pp. 4855
  35. World Health Organization WHO, Burden of disease from the joint effects of household and ambient air pollution for 2016, WHO 2018
  36. International Agency for Research on Cancer, IARC, Outdoor air pollution a leading environmental cause of cancer deaths. Press release No 221, IARC 2013
  37. Karimi, A., et al., Concentrations and health effects of short-and long-term exposure to PM2. 5, NO2, andO3 in ambient air of Ahvaz city, Iran (2014-2017). Ecotoxicology and Environmental Safety, 180 (2019) pp. 542-548
  38. Adepu, S., et al., Socioeconomic determinants of health and county-level variation in cardiovascular disease mortality: An exploratory analysis of Georgia during 2014-2016. Preventive Medicine Reports, 19 (2020) 101160
  39. Yang, X., et al., Global burden of COPD attributable to ambient PM2.5 in 204 countries and territories, 1990 to 2019: A systematic analysis for the Global Burden of Disease Study 2019. Science of the Total Environment, 796 (2021) 148819
  40. Gogna, P., et al., Estimates of the current and future burden of lung cancer attributable to PM in Canada. Preventive Medicine, 122 (2019), pp. 91-99
  41. Li, M.H., et al., Short-term exposure to ambient fine particulate matter increases hospitalizations and mortality in COPD: a systematic review and meta-analysis. Chest, 149 (2016) pp. 447-458
  42. Zhu, R.X., et al., Relationship between particulate matter (PM2.5) and hospitalizations and mortality of chronic obstructive pulmonary disease patients: a meta-analysis. The American Journal of the Medical Sciences, 359 (2020) pp. 354-364
  43. Asl, F.B., et al., Health impacts quantification of ambient air pollutants using AirQ model approach in Hamadan, Iran. Environmental Research, 161 (2018) pp. 114-121
  44. Ansari, M., et al., Meteorological correlates and AirQ+ health risk assessment of ambient fine particulate matter in Tehran, Iran. Environmental Research, 170 (2019) pp. 141-150

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