Abstract for: Simulation modeling of nurse reallocation management strategies in response to emerging infectious diseases

This study aims to analyze the feedback structure among the predictors of nurse reallocation management strategies within healthcare facilities during an infectious disease outbreak using system dynamics research methodology. Additionally, a simulation model was established to conduct simulations of scenarios based on compensation level, effectiveness of nurse education, and impact of infectious disease spread, thereby providing foundational data for policy and decision making regarding nurse reallocation management strategies.In this study, a suitable predictive model was developed through strategic scenario simulations for nurse reallocation management in secondary hospitals in response to emerging infectious disease outbreaks. This model enables the prediction of the dynamic behaviors of nurse reallocation management strategies and their key variables over time. Additionally, the study provided foundational data for nurse staffing policies through additional simulations, with adjustments for relevant variables.