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.

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. 

Research Report 208
Bert Brunekreef
Maciej Strak
Jie Chen
Zorana J Andersen
Richard Atkinson
Mariska Bauwelinck
et al.
2021

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 202Enhancing 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.

Research Report 202
Stuart Batterman
Veronica J Berrocal
Chad Milando
Owais Gilani
Saravanan Arunachalam
K Max Zhang
2020

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.

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.

Five new studies aim to improve exposure assessment

February 6, 2020

There are many challenges in conducting epidemiological studies of long-term exposure to air pollutants because concentrations vary widely over space and time. Read how HEI investigators will soon begin five new studies, using novel strategies to address these challenges.

HEI requests proposals to improve assessment of long-term exposure to air pollution

March 15, 2019

HEI has issued Request for Applications (RFA) 19-1: Applying Novel Approaches to Improve Long-Term Exposure Assessment of Outdoor Air Pollution for Health Studies. HEI is seeking to fund studies to advance exposure assessment for air pollution and health studies using sensors, mobile monitoring, tracking technologies, and other approaches, with a focus on improving assessment of long-term exposures. Please refer to our Funding page for details. 

Developing a dynamic 3D exposure model for air pollution in Hong Kong

February 9, 2018

HEI’s Research Report 194, A Dynamic Three-Dimensional Air Pollution Exposure Model for Hong Kong, describes a study led by Benjamin Barratt of King’s College London, United Kingdom, that developed a dynamic three-dimensional land-use regression model for Hong Kong and used it to estimate exposure to traffic-related air pollution.