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Enabling the use of spatial context is vital to understanding today’s complex digital health problems beyond visualizing maps and intuitive observations. It is paramount to build a robust geospatial artificial intelligence (AI) capacity to integrate social, environmental and infrastructural knowledge base to empower health researchers’ use of geospatial context to promptly answer health issues. In this talk, I will present recent geospatial AI works from my lab with applications in telemedicine catchment, health disparities, environmental health, biosecurity and risk assessment in pandemic preparation for resilience and mitigation. I also will introduce geospatial resources from MU, regional and international collaborators. 

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