Apheis: public health impact of PM10 in 19 European cities

Médina, Sylvia; Plasència, Antoni; Ballester, Ferrán; Mücke, Hans‐Guido; Schwartz, Joel

doi:10.1136/jech.2003.016386

Cited by 127 publications

(94 citation statements)

References 33 publications

(25 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For example, a recent World Health Organisation report on ambient air pollution suggests that the annual mean concentration of PM 10 has increased by more than 5% between 2008 and 2013 in 720 cities across the world (WHO 2014). A reduction in long-term exposure to PM 10 by 5 micrograms per cubic meter in Europe has been reported to "prevent" between 3000 and 8000 early deaths annually (Medina et al 2004). Similar estimates for PM 2.5 suggest an 6 average loss of 7-8 months in life expectancy for UK residents and about £20 billion per year in corresponding health costs (Defra 2008).…”

Section: The Needmentioning

confidence: 95%

The rise of low-cost sensing for managing air pollution in cities

Kumar

Morawska

Martani

et al. 2015

Environment International

754

447

View full text Add to dashboard Cite

show abstract

Section: The Needmentioning

confidence: 95%

The rise of low-cost sensing for managing air pollution in cities

Kumar

Morawska

Martani

et al. 2015

Environment International

754

447

View full text Add to dashboard Cite

show abstract

“…In the European Apheis study, PM 10 concentrations of 19 cities were used in a health impact assessment. The results showed that the reduction in longterm exposure to PM 10 concentrations by 5 µg m -3 would have prevented between 3300 and 7700 premature deaths annually, 500 to 1000 of which were associated with shortterm exposure (Medina et al, 2004). Health impacts of air pollution in several cities of Iran have been estimated in several studies using AirQ software (Goudarzi, 2014;Asl et al, 2015;Nourmoradi et al, 2015;Ghozikali et al, 2016;Miri et al, 2016;Mohammadi et al, 2016;Nourmoradi et al, 2016;Khaniabadi et al, 2017).…”

Section: Introductionmentioning

confidence: 95%

Spatial and Temporal Trends of Short-Term Health Impacts of PM2.5 in Iranian Cities; a Modelling Approach (2013-2016)

Hopke

Nazari

Hadei

et al. 2018

Aerosol Air Qual. Res.

View full text Add to dashboard Cite

Estimation of the spatial and temporal trends of health impacts attributable to air pollution is an effective measure for evaluating implemented interventions. The aim of this study was to estimate the short-term mortality attributable to exposure to PM 2.5 among individuals older than 30 years old in ten Iranian cities from March 2013 to March 2016 using the World Health Organization's (WHO) AirQ+ software. Hourly concentrations of PM 2.5 were acquired from the Department of Environment and Tehran Air Quality Control Company. Only stations with 75% and 50% of valid data were qualified for Tehran and other cities, respectively. The annual average PM 2.5 concentrations in all ten of the cities were higher than the WHO guideline value of 10 µg m -3 . The total number of attributable short-term deaths during the three-year period in these 10 cities was 3284 (95% CI: 1207-5244). The average daily premature deaths were calculated to be 3. The highest number of premature deaths within the three-year period was estimated to be 548 in Tehran, largely reflecting its population of nearly 9 million. The western and southern cities of Iran experience severe dust storms and showed a high estimated rate of death attributed to air pollution. The health impacts in all cities decreased in the third year compared to the first year except for Ahvaz, Khoram Abad, and Ilam. Governmental interventions need to be enforced more effectively to reduce the high level of adverse health impacts in Iran. Special considerations should be given to the air quality of cities affected by dust storms.

show abstract

“…Acute exposure to particulate matter can cause short-term deleterious effects in pulmonary function as well as latent effects possibly due to inflammation of airways. 15,16 Medina et al 17 showed that exposure to particulate matter less than 10 m in aerodynamic diameter (PM 10 ) increased the mortality rate of people living in European cities. Although indoor air particulate standards do not exist, the U.S. Environmental Protection Agency (EPA) has National Ambient Air Quality Standards that are generally used as a surrogate for comparison for IAQ studies.…”

Section: Introductionmentioning

confidence: 99%

Seasonal and Diurnal Variability in Airborne Mold from an Indoor Residential Environment in Northern New York

LeBouf

Yesse

Rossner

2008

Journal of the Air & Waste Management Association

View full text Add to dashboard Cite

It is well known that characterization of airborne bioaerosols in indoor environments is a challenge because of inherent irregularity in concentrations, which are influenced by many environmental factors. The primary aim of this study was to quantify the day-to-day variability of airborne fungal levels in a single residential environment over multiple seasons. Indoor air quality practitioners must recognize the inherent variability in airborne bioaerosol measurements during data analysis of mold investigations. Changes in airborne fungi due to varying season and day is important to recognize when considering health impacts of these contaminants and when establishing effective controls. Using an Andersen N6 impactor, indoor and outdoor bioaerosol samples were collected on malt extract agar plates for 18 weekdays and 19 weekdays in winter and summer, respectively. Interday and intraday variability for the bioaerosols were determined for each sampler. Average fungal concentrations were 26 times higher during the summer months. Day-to-day fungal samples showed a relatively high inconsistency suggesting airborne fungal levels are very episodic and are influenced by several environmental factors. Summer bioaerosol variability ranged from 7 to 36% and winter variability from 24 to 212%; these should be incorporated into results of indoor mold investigations. The second objective was to observe the relationship between biological and nonbiological particulate matter (PM). No correlation was observed between biological and nonbiological PM. Six side-by-side particulate samplers collected coarse PM (PM 10 ) and fine PM (PM 2.5 ) levels in both seasons. PM 2.5 particulate concentrations were found to be statistically higher during summer months. Interday variability observed during this study suggests that indoor air quality practitioners must adjust their exposure assessment strategies to reflect the temporal variability in bioaerosol concentrations.

show abstract

Apheis: public health impact of PM10 in 19 European cities

Cited by 127 publications

References 33 publications

The rise of low-cost sensing for managing air pollution in cities

The rise of low-cost sensing for managing air pollution in cities

Spatial and Temporal Trends of Short-Term Health Impacts of PM2.5 in Iranian Cities; a Modelling Approach (2013-2016)

Seasonal and Diurnal Variability in Airborne Mold from an Indoor Residential Environment in Northern New York

Contact Info

Product

Resources

About