3.0

credits

Average Course Rating

Although there is abundant literature on the analysis of SDHI, most research approaches are based on limited risk factor analyses and other reductionistic linear behavioral and biological perspectives. The advance of ‘complexity science’ and ‘systems thinking’ across a broad range of practices and tools (e.g., system dynamics, network analysis, and agent-based modeling) allows one to consider the causes and solutions for complex challenges such as obesity and addiction, which follow complex systems characteristics such as nonlinearity, feedback loops, or chaotic behavior. Introduces a novel transdisciplinary approach on Social Determinants of Health Inequities (SDHI). Provides an in-depth understanding of macro, meso and micro levels, all of which generate health inequities. Prepares students to examine the changes, causes, and potential policies to address systemic public health and equity-related subjects and the complex interactions between biology, behaviors, society and politics. Integrates a broad range of disciplines, ‘systems thinking’ practices, and methodological pluralism. Reviews research advances, including explanatory case studies and the evaluation of policies and interventions to reduce health inequities.