Chris Giovis

TL;DR: In this article, a review of models for assessing intraurban exposure under six classes, including proximity-based assessments, statistical interpolation, land use regression models, line dispersion models, integrated emission-meteorological models, and hybrid models combining personal or household exposure monitoring with one of the preceding methods is presented.

TL;DR: This paper used a universal kriging procedure to interpolate data from twenty-three monitoring stations in Hamilton (1985-94) to develop an estimate of likely pollution values across the city based on annual geometric means and extreme events.

TL;DR: Low educational attainment and high manufacturing employment in the zones significantly and positively modified the acute mortality effects of air pollution exposure, and increased mortality was associated with air pollution Exposure in a citywide model and in intra-urban zones with lower socioeconomic characteristics.

TL;DR: To familiarize researchers and policymakers with this increasingly important approach, this work reviews spatial-analytic methods under three headings: visualization, exploration, and modeling to assist readers in understanding the strengths and weaknesses of specific methods.

TL;DR: In this article, a mixed-methods approach was employed to study the determinants of health at the local level using specific neighborhoods in Hamilton, Ontario, Canada, and the results reveal a pattern of distinct neighbourhoods that will be used in subsequent quantitative and qualitative stages in the larger research program.