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RFA 19-1 Applying Novel Approaches to Improve Long-Term Exposure Assessment of Outdoor Air Pollution for Health Studies

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Not Active
Number: 
RFA 19-1

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. The studies should develop and apply novel approaches to improve long-term (months to years) exposure assessment of outdoor air pollutants whose levels vary greatly in space and time. Request for Applications (RFA) 19-1 solicits applications for studies designed to quantitatively evaluate exposure measurement error and to determine the potential impact of using novel approaches to assess exposures to air pollution on health estimates. The approaches of interest include, but are not limited to:

(1) Harnessing novel measurement technologies: air pollution sensors, mobile monitoring, location tracking, and other technologies that are increasingly being used to measure air pollution and human activity at fine spatial and temporal scales;

(2) Exposure assessment modeling approaches: hybrid models, machine learning, and other statistical techniques.

RFA 19-1 Applying Novel Approaches to Improve Long-Term Exposure Assessment of Outdoor Air Pollution for Health Studies provides funding for up to five studies of 2 or 3 years in duration with a funding cap of $800,000 each.

How to Apply

This RFA is closed.

Contact: 

Allison P. Patton

,
apatton@healtheffects.org
Preliminary Application Due Date: 
June 3, 2019
Full Application Due Date: 
September 16, 2019

Ongoing studies funded under this RFA

Accounting for mobility in air pollution exposure estimates in studies on long-term health effects

Kees de Hoogh
, 

Swiss Tropical and Public Health Institute and Basel University, Switzerland

This study aims to improve our understanding of the contribution of individual mobility in air pollution exposure estimates. The investigators will use location tracking on a mobile phone application for 2,000 individuals in the Netherlands and Switzerland.

Status: 
Ongoing
.  Read more...

Comparison of Long-term Air Pollution Exposure assessment based on mobile monitoring, low-cost sensors, dispersion modelling and routine monitoring-based models (CLAIRE)

Gerard Hoek
, 

Utrecht University, Netherlands

Hoek and colleagues will prepare maps of modeled annual average air pollution across the Netherlands, validate the maps using new measurements from over 100 sites, and evaluate the performance of several exposure models. The investigators will conduct cross-comparisons to evaluate how different exposure assessment methods compare in their ability to predict long-term pollutant concentrations, with a particular focus on spatial variability of pollutants.

Status: 
Ongoing
.  Read more...

Investigating the consequences of Measurement Error of gradually more sophisticated long-term personal exposure models in assessing health effects: the LOndon Study (MELONS)

Klea Katsouyanni
, 

King's College London, United Kingdom

This study will investigate the consequences of measurement error on estimates of health effects of long-term exposure to outdoor air pollution in London by developing increasingly sophisticated exposure models.The investigators plan to compare exposure models that account for mobility, are based on exposure estimates at the residential address, and are based on concentrations measured at the nearest air pollution monitor.

Status: 
Ongoing
.  Read more...

Optimizing exposure assessment for inference about air pollution effects with application to the aging brain

Lianne Sheppard
, 

University of Washington

This study will compare and contrast scientific and logistical benefits of different approaches to air pollution exposure assessment. The investigators will leverage large air pollution datasets obtained from low-cost sensors, mobile monitoring, and passive samplers. They will apply the exposure assessment approaches to determine associations with cognitive decline and dementia incidence in an ongoing cohort study, Adult Changes in Thought Air Pollution (ACT-AP).

Status: 
Ongoing
.  Read more...

Comparing the estimated health impacts of long-term exposure to traffic-related air pollution using fixed-site, mobile, and deep learning models

Scott Weichenthal
, 

McGill University, Canada

This study will evaluate health impacts of long-term exposures to traffic-related air pollution using exposure estimates from fixed-site and mobile measurement campaigns, as well as deep learning models, in Toronto and Montreal, Canada. The investigators will compare exposure estimates generated by these models to present-day and historical measurements, and to each other. 

Status: 
In review
.  Read more...