Air Pollutants and Their Impact on Chronic Diseases—A Retrospective Study in Bucharest, Romania

Mahler, Beatrice; Băiceanu, Dragoș; Panciu, Traian Constantin; Florea, Radu Marian; Iorga, Ana Luiza; Gnat, Marcin; German, Cornelia Florina; Pârvu, Simona; Paraschiv, Dorel; Manea, Daniela; Mihai, Mihaela; Ibraim, Elmira; Timar, Bogdan; Mihălțan, Florin Dumitru

doi:10.3390/atmos14050867

Cited by 3 publications

(2 citation statements)

References 60 publications

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“…The main contribution of this study is to highlight the importance of research on the spatial dimension of TB case frequency for the development of control policies based on complex data sets that address both the disease and the geographical context of its occurrence and spread. Research on the environmental conditions in a geographical area is an important avenue for analyzing the factors that determine the development of TB, with high concentrations of pollution being an important factor in the onset of respiratory diseases (Ibironke et al., 2019 ; Lai et al., 2016 ; Mahler et al., 2023 ; Popovic et al., 2019 ).…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Spatio‐Temporal Pattern of Tuberculosis Distribution in Romania and Particulate Matter Pollution Associated With Risk of Infection

Peptenatu,

Băloi,

Andronic

et al. 2024

GeoHealth

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The study proposes a dynamic spatio‐temporal profile of the distribution of tuberculosis incidence and air pollution in Romania, where this infectious disease induces more than 8,000 new cases annually. The descriptive analysis for the years 2012–2021 assumes an identification of the structuring patterns of mycobacterium tuberculosis risk in the Romanian population, according to gender and age, exploiting spatial modeling techniques of time series data. Through spatial autocorrelation, the degree of similarity between the analyzed territorial systems was highlighted and the relationships that are built between the analysis units in spatial proximity were investigated. By modeling the geographical distribution of tuberculosis, the spatial correlation with particulate matter (PM2.5) pollution was revealed. The identification of clusters of infected persons is an indispensable step in the construction of efficient tuberculosis management systems. The results highlight the link between the distribution of tuberculosis, air pollution and socio‐economic development, which requires a detailed analysis of the epidemiological data obtained in the national tuberculosis surveillance and control program from the perspective of geographical distribution.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Spatio‐Temporal Pattern of Tuberculosis Distribution in Romania and Particulate Matter Pollution Associated With Risk of Infection

Peptenatu,

Băloi,

Andronic

et al. 2024

GeoHealth

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“…The degree of air pollution has a direct and proportional impact on human health [ 21 ]. In this matter, an assessment of the exposure and environmental burden of disease (EBD) was performed for the conditions of Ploieşti City.…”

Section: Methodsmentioning

confidence: 99%

A Three-Year Analysis of Toxic Benzene Levels and Associated Impact in Ploieşti City, Romania

Sanda,

Dunea,

Iordache

et al. 2023

Toxics

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This study examines the levels of benzene and the potential health impact during three years of continuous monitoring (2019–2021), including the COVID-lockdown period from 2020 in a city that is an important Romanian center for petroleum refining and associated product manufacturing. The dataset contains benzene, toluene, NOx, PM10 concentrations, and meteorological factors monitored by six automatic stations from the national network of which four are in the city and two outside. Special attention was given to the benzene dynamics to establish patterns related to the health impact and leukemia. An assessment of the exposure was performed using EPA’s ExpoFIRST v. 2.0 for computing the inhalation Average Daily Dose (ADD) and Lifetime Average Daily Dose (LADD). The health impact was estimated based on several indicators such as lifetime cancer risk (LCR), Hazard Quotient (HQ), Disability-Adjusted Life Years (DALY), and Environmental burden of disease (EBD). Overall, the annual average of all stations was almost similar between years i.e., 3.46 in 2019, 3.41 in 2020, and 3.63 µg/m3 in 2021, respectively. The average of all stations during the lockdown period was 2.67 µg/m3, which was lower than the multiannual average of the 2019–2021 period, i.e., 3.5 µg/m3. Significant correlations were present between benzene and other pollutants such as NOx (r = 0.57), PM10 fraction (r = 0.70), and toluene (r = 0.69), and benzene and temperature (r = −0.46), humidity (r = 0.28), and wind speed (r = −0.34). Regarding the ADD, in all scenarios, the most affected age categories are small children, despite a lower outdoor exposure time. From birth to <70 years, the ADD varied depending on the exposure scenario resulting in 3.27 × 10−4, 5.6 × 10−4, and 4.04 × 104 mg/kg-day, and 3.95 × 10−4, 10.6 × 10−4, and 6.76 × 10−4 mg/kg-day for the LADD, respectively. The Integrated Lifetime Cancer Risk (ILTCR) values were 14.1 × 10−5 in winter, 9.04 × 10−5 in spring, 8.74 × 10−5 in summer, and 10.6 × 10−4 in autumn. The ILTCR annual averages were 1.08 × 10−4 (2019), 1.07 × 10−4 (2020), 1.04 × 10−4 (2021), and 1.06 × 10−4 for the entire period. The resulting ILTCR values point out very risky conditions, with the annual averages reaching the definite cancer risk category. The corresponding burden based on the DALY’s loss due to leukemia in Ploieşti was estimated at 0.291 (2 μg/m3 benzene), 0.509 (3.5 μg/m3 benzene), 0.582 (4 μg/m3 benzene), and 0.873 DALYs per 100,000 inhabitants (6 μg/m3 benzene), respectively. The current study provides useful insights for a better understanding of the exposure levels to benzene and associated health impact in Ploieşti despite the limitations determined by the data hiatus and incomplete or missing information regarding the health impact.

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Exploring spatiotemporal dynamics, seasonality, and time-of-day trends of PM2.5 pollution with a low-cost sensor network: Insights from classic and spatially explicit Markov chains

Biancardi,

Zhou,

Kang

et al. 2024

Applied Geography

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Air Pollutants and Their Impact on Chronic Diseases—A Retrospective Study in Bucharest, Romania

Cited by 3 publications

References 60 publications

Spatio‐Temporal Pattern of Tuberculosis Distribution in Romania and Particulate Matter Pollution Associated With Risk of Infection

Spatio‐Temporal Pattern of Tuberculosis Distribution in Romania and Particulate Matter Pollution Associated With Risk of Infection

A Three-Year Analysis of Toxic Benzene Levels and Associated Impact in Ploieşti City, Romania

Exploring spatiotemporal dynamics, seasonality, and time-of-day trends of PM2.5 pollution with a low-cost sensor network: Insights from classic and spatially explicit Markov chains

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