Using a hybrid simulation model to assess the impacts of combined COVID-19 containment measures in a high-speed train station

Zhu, Hongli; Liu, Shiyong; Li, Xiaoyan; Zhang, Weiwei; Osgood, Nathaniel D.; Jia, Peng

doi:10.1080/17477778.2023.2189027

Cited by 6 publications

(1 citation statement)

References 132 publications

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“…One of the main areas of application of hybrid M&S was found to be healthcare [61]. A combination of multiple simulation techniques (e.g., SD, ABM, DES, and social network analysis) has been employed to investigate a range of complex health-related issues and systems, such as disease prevention and care management [43,[64][65][66], projection of disease burden [67], health workforce dynamics [68], and immunoepidemiology of infectious diseases [69]. Reflecting the diversity in the mixing of different methods in simulation studies, Mustafee et al presented a conceptual classification of hybrid M&S and discussed innovation in the M&S field by highlighting hybrid modeling [70][71][72].…”

Section: Hybrid Modeling and Simulationmentioning

confidence: 99%

Participatory Modeling with Discrete-Event Simulation: A Hybrid Approach to Inform Policy Development to Reduce Emergency Department Wait Times

Tian,

Basran,

Stempien

et al. 2023

Systems

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We detail a case study using a participatory modeling approach in the development and use of discrete-event simulations to identify intervention strategies aimed at reducing emergency department (ED) wait times in a Canadian health policy setting. A four-stage participatory modeling approach specifically adapted to the local policy environment was developed to engage stakeholders throughout the modeling processes. The participatory approach enabled a provincial team to engage a broad range of stakeholders to examine and identify the causes and solutions to lengthy ED wait times in the studied hospitals from a whole-system perspective. Each stage of the approach was demonstrated through its application in the case study. A novel and key feature of the participatory modeling approach was the development and use of a multi-criteria framework to identify and prioritize interventions to reduce ED wait times. We conclude with a discussion on lessons learned, which provide insights into future development and applications of participatory modeling methods to facilitate policy development and build multi-stakeholder consensus.

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