Data Driven Innovation: Using advanced geospatial technologies to improve public health. Policy: Promote healthcare access with improved understanding of access barriers. Community/Culture: Enhanced disease surveillance for early detection to protect vulnerable communities. The Problem Dr. Delmelle’s research focuses on the intersection of public health and spatial epidemiology. Key areas: Detecting space-time clusters of infectious diseases (e.g., COVID-19, dengue). Examining how residential mobility affects disease transmission. Optimizing healthcare facility placement for vulnerable populations. Developing computational tools for environmental health monitoring. The Approach To address these challenges, the committed research team will develop methodological innovations to advance spatial analysis and parallel computing through: Web-based tools: interactive GIS platforms for disease surveillance and health monitoring. Mixed-methods: combining quantitative spatial analysis with qualitative approaches. Interdisciplinary collaboration: working with experts across disciplines. Detecting Infectious Diseases Using Spatial Epidemiology For more information visit https://health.lehigh.edu/research-partners or email INRSRCH@lehigh.edu “Advancing geospatial approaches to improve health surveillance and environmental monitoring.” Eric Delmelle, PhD Short Term Impact Spatial analysis methods for identifying environmental health risks. Training next-generation researchers in geospatial health. Data visualization techniques for COVID-19 surveillance. Longer Term Impact Advanced computational methods in spatial epidemiology. Improved understanding of environmental determinants of health. More effective healthcare facility placement approaches. Societal Impact Funding for this research supports an innovative approach to generating information on disease detection, benefiting communities affected by health access disparities. This work has societal benefits in the following areas: 7
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