Excess deaths associated with fine particulate matter in Brazilian cities

Andreão, Willian Lemker; Albuquerque, T. T. A.; Kumar, Prashant

doi:10.1016/j.atmosenv.2018.09.034

Cited by 43 publications

(14 citation statements)

References 69 publications

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“…The input data required to estimate the health outcomes, shown in Eq. ( 22), are population data (P; numbers), baseline rates of death or hospital admission (M; number per year), change in air pollutant concentration (ΔQ; µg m -3 ) and relative risk (RR) (Andreão et al, 2018;Künzli et al, 2000;Sacks et al, 2018).…”

Section: Linking Of Gi Air Pollution and Health Outcomesmentioning

confidence: 99%

Considerations for evaluating green infrastructure impacts in microscale and macroscale air pollution dispersion models

Tiwari

Kumar

Baldauf

et al. 2019

Science of The Total Environment

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Section: Linking Of Gi Air Pollution and Health Outcomesmentioning

confidence: 99%

Considerations for evaluating green infrastructure impacts in microscale and macroscale air pollution dispersion models

Tiwari

Kumar

Baldauf

et al. 2019

Science of The Total Environment

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“…Gouveia et al [38] studied the impact of air pollution on respiratory hospitalization in nine municipalities of the metropolitan region of São Paulo and using meta-analysis found a combined RR of 1.011 for an increase in 10 ug/m 3 of PM 10 . Recently, the relationship between the change in baseline and control scenarios of PM 2.5 and excess of mortality was estimated using the BenMAP-CE program and the application of exposure-response functions in 24 Brazilian cities show that the maximum excess of deaths for all causes is produced in São Paulo [16].…”

Section: Discussionmentioning

confidence: 99%

“…The present study was carried out in Brazil, the largest country in South America, with a diverse urbanization level and weather conditions across cities, spanning from the tropical zone to the far end of South America. Most air pollution research conducted in Brazil has focused on assessing the daily-term effects of pollutants on mortality [15,16,17] and to a lesser extent in morbidity [18,19,20], but little is known about the health effects or air pollutants at an intermediate time term. There is a vast amount of information available so far regarding short-term and long-term exposure effects, however, the “harvesting” effect of air pollution on health effects, mainly in respiratory disease, have been described since 2000 but have been less frequently assessed in academic literature on air pollution and health effects [21].…”

Section: Introductionmentioning

confidence: 99%

Monthly-Term Associations Between Air Pollutants and Respiratory Morbidity in South Brazil 2013–2016: A Multi-City, Time-Series Analysis

Agudelo-Castañeda

Teixeira

Alves

et al. 2019

IJERPH

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Most air pollution research conducted in Brazil has focused on assessing the daily-term effects of pollutants, but little is known about the health effects of air pollutants at an intermediate time term. The objective of this study was to determine the monthly-term association between air pollution and respiratory morbidity in five cities in South Brazil. An ecological time-series study was performed using the municipality as the unit of observation in five cities in South Brazil (Gravataí, Triunfo, Esteio, Canoas, and Charqueadas) between 2013 and 2016. Data for hospital admissions was obtained from the records of the Hospital Information Service. Air pollution data, including PM10, SO2, CO, NO2, and O3 (µg/m3) were obtained from the environmental government agency in Rio Grande do Sul State. Panel multivariable Poisson regression models were adjusted for monthly counts of respiratory hospitalizations. An increase of 10 μg/m3 in the monthly average concentration of PM10 was associated with an increase of respiratory hospitalizations in all age groups, with the maximum effect on the population aged between 16 and 59 years (IRR: Incidence rate ratio 2.04 (95% CI: Confidence interval = 1.97–2.12)). For NO2 and SO2, stronger intermediate-term effects were found in children aged between 6 and 15 years, while for O3 higher effects were found in children under 1 year. This is the first multi-city study conducted in South Brazil to account for intermediate-term effects of air pollutants on respiratory health.

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“…The emission of this pollutant is closely associated with combustion processes due to the thermal combination at high temperatures of nitrogen (N 2 ) and oxygen (O 2 ) present in atmospheric air (Zeldovich mechanism). In the case of stationary sources in Belo Horizonte, NO X emissions occurred mainly in industrial boilers (companies 6, 8 and 13 to 17, Table 2), in biogas burning plants Andreão et al (2018), in 2013 and 2014, the concentration of PM 2.5 in the Belo Horizonte atmosphere was higher than the standards established by the World Health Organization (WHO) (10 μg cm -3 ). The sources studied here may be potential contributors to this exceeding of the standards.…”

Section: Atmospheric Emissions From Stationary Sources In Belo Horizontementioning

confidence: 91%

Regulated Air Pollutant Emissions From Higher Emitters Stationary Sources in Belo Horizonte, Minas Gerais, Brazil

Santos

Miranda

Carvalho

et al. 2019

Braz. J. Chem. Eng.

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Belo Horizonte, capital of Minas Gerais state, is a highly urbanized city located in the third largest metropolitan area of Brazil, being one of the most important cities in the country. There are several potential air pollutant emission sources in the studied area, such as industry and the vehicular fleet (1,669,884 vehicles in 2015). These can affect the air quality, which can have an impact on population health. Despite this critical scenario, few studies have been developed with the objective of evaluating the air quality in this city, especially regarding the identification of pollutant emission sources. Thus, the aim of this study was to identify and quantify atmospheric emissions by stationary sources of significant environmental impact in Belo Horizonte. The quantification of emissions was preferably performed based on chimneys monitoring data. However, in the absence of these data, estimates were made based on AP-42 guidelines. As a result, 75 chimneys were identified, belonging to 28 companies. Pollutant emission rates of 305, 235, 234, 224, 206, 180 and 63 t year-1 were observed for NO X , CO, TSP, PM 10 , PM 2.5 , SO 2 and VOC, respectively. The results obtained can contribute to the diagnosis, modeling and management of air quality in Belo Horizonte.

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Excess deaths associated with fine particulate matter in Brazilian cities

Cited by 43 publications

References 69 publications

Considerations for evaluating green infrastructure impacts in microscale and macroscale air pollution dispersion models

Considerations for evaluating green infrastructure impacts in microscale and macroscale air pollution dispersion models

Monthly-Term Associations Between Air Pollutants and Respiratory Morbidity in South Brazil 2013–2016: A Multi-City, Time-Series Analysis

Regulated Air Pollutant Emissions From Higher Emitters Stationary Sources in Belo Horizonte, Minas Gerais, Brazil

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