Toxicity Risk Assessment Due to Particulate Matter Pollution from Regional Health Data: Case Study from Central Romania.
Carmen MafteiAshok VaseashtaIonut PoinareanuPublished in: Toxics (2024)
Air pollution poses one of the greatest dangers to public well-being. This article outlines a study conducted in the Central Romania Region regarding the health risks associated with particulate matter (PM) of two sizes, viz., PM 10 and PM 2.5 . The methodology used consists of the following: (i) an analysis of the effects of PM pollutants, (ii) an analysis of total mortality and cardiovascular-related mortality, and (iii) a general health risk assessment. The Central Region of Romania is situated in the Carpathian Mountains' inner arch (consisting of six counties). The total population of the region under investigation is about 2.6 million inhabitants. Health risk assessment is calculated based on the relative risk (RR) formula. During the study period, our simulations show that reducing these pollutants' concentrations below the new WHO guidelines (2021) will prevent over 172 total fatalities in Brasov alone, as an example. Furthermore, the potential benefit of reducing annual PM 2.5 levels on total cardiovascular mortality is around 188 persons in Brasov. Although health benefits may also depend upon other physiological parameters, all general health indicators point towards a significant improvement in overall health by a general reduction in particulate matter, as is shown by the toxicity assessment of the particulate matter in the region of interest. The modality can be applied to other locations for similar studies.
Keyphrases
- particulate matter
- air pollution
- health risk assessment
- heavy metals
- healthcare
- public health
- risk assessment
- mental health
- human health
- lung function
- cardiovascular events
- health information
- drinking water
- health promotion
- risk factors
- cardiovascular disease
- type diabetes
- chronic obstructive pulmonary disease
- electronic health record
- preterm infants
- emergency department
- climate change
- molecular dynamics
- artificial intelligence
- cystic fibrosis
- polycyclic aromatic hydrocarbons
- water soluble