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Giulia Cesaroni

Researcher at Institut national de la recherche agronomique

Publications -  151
Citations -  14376

Giulia Cesaroni is an academic researcher from Institut national de la recherche agronomique. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 47, co-authored 135 publications receiving 11024 citations.

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Journal ArticleDOI

Global estimates of mortality associated with long-term exposure to outdoor fine particulate matter

Richard T. Burnett, +54 more
TL;DR: PM2.5 exposure may be related to additional causes of death than the five considered by the GBD and that incorporation of risk information from other, nonoutdoor, particle sources leads to underestimation of disease burden, especially at higher concentrations.
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Air pollution and lung cancer incidence in 17 European cohorts : Prospective analyses from the European Study of Cohorts for Air Pollution Effects (ESCAPE)

TL;DR: The meta-analyses showed a statistically significant association between risk for lung cancer and PM10 and PM2·5, and no association between lungcancer and nitrogen oxides concentration or traffic intensity on the nearest street.
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Effects of long-term exposure to air pollution on natural-cause mortality : An analysis of 22 European cohorts within the multicentre ESCAPE project

Rob Beelen, +92 more
- 01 Mar 2014 - 
TL;DR: In this article, the authors investigated the association between natural-cause mortality and long-term exposure to several air pollutants, such as PM2.5, nitrogen oxides, and NOx.
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Development of Land Use Regression Models for PM2.5, PM2.5 Absorbance, PM10 and PMcoarse in 20 European Study Areas; Results of the ESCAPE Project

TL;DR: Careful selection of monitoring sites, examination of influential observations and skewed variable distributions were essential for developing stable LUR models, which are used to estimate air pollution concentrations at the home addresses of participants in the health studies involved in ESCAPE.
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Development of NO2 and NOx land use regression models for estimating air pollution exposure in 36 study areas in Europe - The ESCAPE project

TL;DR: In this article, the authors estimate within-city variability in air pollution concentrations using Land Use Regression (LUR) models and show that LUR models are able to explain small-scale within city variations.