Posted: Dec 20, 2023
This research examines the critical role of public health nurses in enhancing community resilience during infectious disease outbreaks through a novel computational framework that integrates social network analysis, machine learning, and epidemiological modeling. Unlike traditional approaches that focus primarily on clinical interventions, our study develops a comprehensive methodology for quantifying and optimizing the community-strengthening functions performed by public health nurses. We introduce the Community Resilience Optimization through Nursing Engagement (CRONE) framework, which models nurse-community interactions as dynamic networks and employs reinforcement learning to identify optimal intervention strategies. Our findings demonstrate that public health nurses function as resilience amplifiers within communities, with their impact extending beyond direct patient care to include trust-building, information dissemination, and social cohesion enhancement. The research reveals that communities with optimized public health nursing interventions showed 42
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