Health Equity: Leveraging spatial and big data analysis for tackling global health challenges by Guangqing Chi, PhD, on Apr. 8, 1-2 p.m.

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Climate change poses significant challenges to human health and well-being, with a disproportionate impact on socially and historically disadvantaged populations (racial, class, and gender), as well as on rural communities. Addressing global health problems and health inequities requires a comprehensive approach that encompasses social systems, the built environment, and the natural environment, taking into consideration their interactions across various scales—from individual to household, community, and regional levels.

To effectively implement such an interdisciplinary approach, it is imperative to leverage the horsepower of computational and spatial analytical methods to integrate and analyze multidimensional and multiscale data. By doing so, a nuanced understanding of the complex interplay between various factors influencing health outcomes can be attained. Moreover, tackling health problems and inequities requires a transdisciplinary and translational approach. This involves collaborative efforts among researchers, affected communities, and governmental and non-governmental agencies, as well as industries, to co-produce knowledge and collaboratively seek effective and efficient solutions.

In this presentation,  Guangqing Chi, PhD , will delineate an approach through the lens of a recently initiated research program focusing on climate change and Indigenous community health and well-being in the Arctic. By sharing insights and experiences from this research endeavor, the aim is to contribute to the discourse on fostering health equity and resilience in the face of global environmental challenges.