Exposure Methods

This page has a list of publications and news articles related to Innovative Strategies - Enhanced Exposure Assessment. Find more information on Innovation in HEI's research programs.

Update September 2021

Newsletter

Health Effects Institute

2021

Topics:

Air Pollution

Nitrogen Oxides

Multipollutant Mixtures

Ozone & Oxidants

Particulate Matter

Exposure Methods

In this issue of Update, read about a major HEI study in Europe that found evidence of health effects at low levels of air pollution; a new Board Chair; our first-ever Director of Science Communications; steps HEI is taking toward diversity, equity, and inclusion; the launch of new studies on wildfires and the effectiveness of air quality policies, and more.

HEI study in Europe finds evidence of health effects at lower levels of air pollution

September 15, 2021

A major new HEI report presents a study examining associations between exposures to relatively low levels of air pollution and several health outcomes among participants in 22 European cohorts.

Mortality and Morbidity Effects of Long-Term Exposure to Low-Level PM2.5, BC, NO2, and O3: An Analysis of European Cohorts in the ELAPSE Project

Research Report 208

Bert Brunekreef

Maciej Strak

Jie Chen

Zorana J Andersen

Richard Atkinson

Mariska Bauwelinck

et al.

2021

Topics:

Air Pollution

Nitrogen Oxides

Multipollutant Mixtures

Ozone & Oxidants

Particulate Matter

Exposure Methods

Research Report 208 presents a study by Bert Brunekreef at the Institute for Risk Assessment Sciences, Utrecht University, the Netherlands, and colleagues examining associations between exposures to relatively low levels of air pollution below the current EU standards and several health outcomes among participants in 22 European cohorts.

Study compares statistical models for use in exposure assessment

March 23, 2020

HEI has published Research Report 202, Enhancing Models and Measurements of Traffic-Related Air Pollutants for Health Studies Using Dispersion Modeling and Bayesian Data Fusion, which describes a study led by Dr. Stuart Batterman at the University of Michigan, Ann Arbor and colleagues. The investigators evaluated the ability to predict traffic-related air pollution using a variety of methods and models, including a line source air pollution dispersion model and sophisticated spatiotemporal Bayesian data fusion methods.

Enhancing Models and Measurements of Traffic-Related Air Pollutants for Health Studies Using Dispersion Modeling and Bayesian Data Fusion

Research Report 202

Stuart Batterman

Veronica J Berrocal

Chad Milando

Owais Gilani

Saravanan Arunachalam

K Max Zhang

2020

Topics:

Traffic-related

Exposure Methods

Research Report 202 describes a study led by Dr. Stuart Batterman at the University of Michigan, Ann Arbor and colleagues. The investigators evaluated the ability to predict traffic-related air pollution using a variety of methods and models, including a line source air pollution dispersion model and sophisticated spatiotemporal Bayesian data fusion methods.

Winter 2020 Update now available

March 3, 2020

In this issue of HEI Update, read about our upcoming Annual Conference in April; our search for the next HEI Review Committee chair; the launch of 11 new HEI studies — four evaluating the effectiveness of air quality actions, five aiming to improve exposure assessment, and two led by our 2019 Walter A. Rosenblith New Investigators; and more.