AoU Research Priorities Use Cases

Understand the determinants of ambient environmental air pollution exposures in a large scale, geographically-diverse population

Exposure to air pollutants in the ambient (indoor and outdoor) environment is associated with numerous adverse health outcomes, including cancer. A key challenge for cancer studies is the lack information on individual-level activities and other determinants of personal exposures over the lifetime; existing studies have had to rely on assumptions about time spent in microenvironments. Moreover, most data are from urban settings and underrepresent many racial and other population subgroups.

The remaining questions allow you to outline in more detail the information needed to address your research question. The series of questions allow up to five entries. If you have more than five entries, please try to prioritize them and enter the remainder in the final field. When done, click Submit at the bottom. Yes

If you did not find your Data Item #1 in the dropdown selection above, please enter it here. air pollution measurements; GPS tracking; self-reported real-time contextual questions (e.g., triggered by various selected endpoints, such as changes in pollution levels, time of day, randomly, etc.); detailed residence location history; workplace location history

If you did not find your method for obtaining Data Item #1 in the dropdown selection above, please enter it here. Real-time personal mobile monitors (air pollutants, GPS locations where consented), passive ambient samplers (home, in-vehicle) geocode (to allow linkage to external datasets), survey, EHR, physical exam

If you did not find your methodology specifications for Data Item #1 above, please enter it here. Personal air pollution monitors would be used continuously during selected time periods over the course of a year, intended to capture time-resolved air pollution measurements that represent an individual’s “typical” scope of activity (e.g., commute, while at residence, while at work). Monitors in-vehicle, in-home, and in other key settings would cover the same time periods, and survey, EHR, physical exam, etc. data collected for one year. Web- and phone-based platforms would enable real-time pollutant monitoring to be linked to contextual data (e.g., newly collected self-reported data, secondary environmental datasets linked to geocoded addresses or to GPS data). These location-specific data could be leveraged further to explore numerous other environmental hypotheses, including cross-sectional exposure validation studies, evaluations of biomarkers of exposure and effect, etc.

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Idea No. 16