scispace - formally typeset
M

Ming-Yi Tsai

Researcher at University of Washington

Publications -  76
Citations -  8787

Ming-Yi Tsai is an academic researcher from University of Washington. The author has contributed to research in topics: Environmental exposure & Air pollution. The author has an hindex of 39, co-authored 74 publications receiving 7143 citations. Previous affiliations of Ming-Yi Tsai include Swiss Tropical and Public Health Institute & University of Basel.

Papers
More filters
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

Spatial variation of PM2.5, PM10, PM2.5 absorbance and PMcoarse concentrations between and within 20 European study areas and the relationship with NO2 : results of the ESCAPE project

TL;DR: The ESCAPE study as discussed by the authors investigated the relationship between long-term exposure to outdoor air pollution and health using cohort studies across Europe, and found substantial variability in spatial patterns of PM2.5, PM10 and PMcoarse.