Traffic-related

This page has a list of publications and news articles related to Traffic-related Air Pollution. Find more information about our research on Air Pollution.

Systematic Review and Meta-analysis of Selected Health Effects of Long-Term Exposure to Traffic-Related Air Pollution

Special Report 23

Health Effects Institute

2022

Topics:

Air Pollution

Traffic-related

This comprehensive scientific review examines the evidence for associations between several adverse health effects and traffic-related air pollution (TRAP). The review, the largest of its type to date, was conducted by a panel of 13 renowned experts who evaluated 353 published scientific reports on traffic pollution and related health effects between 1980 and 2019.

Detailed review finds strong links between adverse health effects and traffic pollution

June 16, 2022

A comprehensive new scientific review released today finds growing confidence in the links between several adverse health effects and traffic-related air pollution (TRAP). The review, the largest of its type to date, was conducted by a panel of thirteen renowned experts who evaluated 353 scientific reports published between 1980 and 2019 on traffic pollution and related health effects.

Associations of Air Pollution on the Brain in Children: A Brain Imaging Study

Research Report 209

Mònica Guxens

Małgorzata J. Lubczyńska

Laura Pérez-Crespo

Ryan L. Muetzel

Hanan El Marroun

Xavier Basagaña

et al.

2022

Topics:

Research Report 209 presents a study by Mònica Guxens of the Barcelona Institute for Global Health (ISGlobal) and colleagues. The team used new neuroimaging technology to assess the possible relationship of air pollution exposure during pregnancy and childhood with brain outcomes in children.

New study examines effects of air pollution on children’s brain development

February 1, 2022

A new study published by HEI examines whether early life air pollution exposure affects brain outcomes, focusing on brain structural and functional measures in children in Rotterdam, the Netherlands.

Spring 2021 Update now available

June 9, 2021

In this issue of Update, read about a newly published HEI study suggesting health improvements from the 2006 California Goods Movement Plan; our very successful Virtual Conference webinar series in April and May; important transitions in HEI Communications; an HEI New Investigator study on mechanisms of lung injury by ozone; a two-day workshop on air pollution and health in Southeast Europe; and more.

Update Spring 2021

Newsletter

Health Effects Institute

2021

Topics:

Winter 2021 Update published

March 12, 2021

In the new issue of Update, read about Ellen Mantus, the new HEI Director of Science; HEI’s timely and targeted 2021 Virtual Conference (Sign Up Now!); five HEI studies underway on COVID-19, air pollution, and health; a transition in HEI’s Global Health program… and more!

Update Winter 2021

Newsletter

Health Effects Institute

2021

Topics:

In this issue of Update, read about Ellen Mantus, the new HEI Director of Science; HEI’s timely and targeted 2021 Virtual Conference (Sign Up Now!); five HEI studies underway on COVID-19, air pollution, and health; a transition in HEI’s Global Health program… and more!

HEI hosts virtual workshop on non-tailpipe particulate matter emissions and exposure

December 2, 2020

HEI held a virtual scientific workshop on the emissions, air quality, and exposure impacts of non-tailpipe particulate emissions from on-road vehicular traffic. Over two days of interactive sessions, participants discussed achievements and knowledge gaps in non-tailpipe emissions characterization, exposure assessment, and assessment of potential health risks.

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.