33 Map 1. Integrated View of Public OHCA Events and AED Locations. This map overlays public OHCA events from CARES with AED locations from the NEAR AED Registry across Seattle. By combining these datasets, it shows where cardiac arrests occur relative to existing AED coverage, providing a clearer understanding of alignment and gaps. This integrated view supports more informed planning, prioritization, and decision-making to improve timely defibrillation and outcomes. Map 2 presents an AED deployment scenario that explicitly accounts for the existing NEAR AED network in Seattle. The heat map displays the spatial concentration of cardiac arrest events, the blue dots represent current AED locations, and the 50 green dots indicate additional AED sites recommended by the optimization model to maximize coverage. The results suggest that, while the current AED network provides a meaningful foundation, important coverage gaps remain in several higher-need areas. By strategically adding a limited number of new AEDs, this scenario demonstrates how data-driven optimization can strengthen the current network in a targeted and efficient way. This is especially useful for policymakers and public health planners because it supports incremental, evidence-based expansion rather than requiring a complete redesign of the existing system. Map 2. Optimized AED Placement with Existing NEAR AED Locations. * Synthetic dataset was utilized
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