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.

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
March 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.

Newsletter
Health Effects Institute
March 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.

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. 

Unpublished report
Juana Maria Delgado-Saborit
Adobi Okam
Maryam Shehab
Tuan van Vu
September 2018

This unpublished report describes a three-year study aimed at evaluating exposures to air pollutants from traffic and indoor sources. The study followed a panel of participants who lived close to or further away from busy roads and had either gas or electric stoves. The investigators measured the participants’ exposures indoors and outdoors, as well as their personal exposures in various microenvironments, using real-time pollutant sensors that were fairly novel at the time.

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.

Research Report 194
Benjamin Barratt
Martha Lee
Paulina Wong
Robert Tang
Tsz Him Tsui
Wei Cheng
Yang Yang
Poh-Chin Lai
Linwei Tian
Thuan-Quoc Thach
Ryan Allen
Michael Brauer
February 2018

HEI’s Research Report 194 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.

Summer 2017 Update now available

August 2, 2017

In the Summer 2017 HEI Update, read about the Haagen-Smit Clean Air Leadership Award given to HEI President Dan Greenbaum by the California Air Resources Board, the two 2017 recipients of HEI’s Walter A. Rosenblith New Investigator Award, and the progress of HEI studies examining potential health effects at low levels of air pollution. Also in this issue is a recap of HEI’s recent Annual Conference in Alexandria, Virginia.