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Can we improve air pollution estimates when extending land-use regression models to adjacent cities or backward in time?
Land-use regression models can be used to estimate traffic-related air pollution (TRAP) at a fine resolution. This makes these models a useful tool for assessing if a relationship exists between specific TRAP and the development of adverse health outcomes such as dementia.
While these models are commonly used in epidemiological studies, the traditional way that these models are developed has inherent limitations, that can lead to exposure misclassification. In this seminar, we will learn about these limitations and discuss the research that is being done to improve these model estimates when extending these models to adjacent cities and backward in time.
|Event Date||Mar 22, 2019 |
12:30 to 23:30EST
|Posted by NCCEH||Mar 12, 2019|
|Location Type||Online, In Person|
Gage Building, Room 108 223 College Street (enter off Ross Street)
University of Toronto