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Modeling COVID-19 Outbreaks in Long-Term Care Facilities: An Agent-Based Modeling and Simulation Approach (2022 Edition) by Ali Asgary, Hudson Blue, Adriano O. Solis, Zachary McCarthy, Mahdi Najafabadi, Mohammad Ali Tofighi, and Jianhong Wu
This 2022 research article explores the use of agent-based modeling and simulation to understand and predict COVID-19 outbreaks in long-term care facilities. The study utilizes a contact matrix reflecting the interactions between different staff and resident roles to accurately model the spread of infection. Results show the effectiveness of various infection control measures, including personal protective equipment and regular testing, in reducing mortality rates. This research provides valuable insights for improving infection control strategies in long-term care facilities and minimizing the impact of future outbreaks. Ideal for students seeking a comprehensive understanding of infectious disease modeling and its applications in healthcare settings.
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