2014
DOI: 10.1136/oemed-2014-102184
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The risks of acute exposure to black carbon in Southern Europe: results from the MED-PARTICLES project

Abstract: Our findings suggest that BC, derived in western industrialised nations primarily from diesel engines and biomass burning, poses a significant burden to public health, particularly in European cities with high-traffic density.

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Cited by 52 publications
(19 citation statements)
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“…Based on a systematic review and meta-analysis of data on PM and BC exposures and related health effects, Janssen et al proposed the use of BC as an additional air quality indicator for health impact assessment [8]. Ostro et al [9] also highlighted the health risks associated with increased exposures to BC, especially in large urban centres.…”
Section: Introductionmentioning
confidence: 99%
“…Based on a systematic review and meta-analysis of data on PM and BC exposures and related health effects, Janssen et al proposed the use of BC as an additional air quality indicator for health impact assessment [8]. Ostro et al [9] also highlighted the health risks associated with increased exposures to BC, especially in large urban centres.…”
Section: Introductionmentioning
confidence: 99%
“…According to European Directives, the concentrations of NO x , CO 2 , and particulate matter significantly exceed the specified limit values (Ostro et al 2015; Kim et al 2004; Lim et al 2011). Increased levels of air pollution can negatively affect human health, especially prolonged exposure to polluted air may cause respiratory and cardiovascular diseases.…”
Section: Introductionmentioning
confidence: 99%
“…Apart from environmental reporting, quantification of natural contributions to PM levels is important in terms of exposure assessment as well. Many epidemiological studies have demonstrated the detrimental effects of particulate matter pollutants to human health (Ostro et al, 2015;Samoli et al, 2013). The distinct physico-chemical and toxic properties of anthropogenic and naturally emitted aerosol call for a differentiation of peak concentration days due to anthropogenic pollution or natural events, when assessing population exposure and dose-effect relationships.…”
mentioning
confidence: 99%