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| f) Support evidence-based recommendations and consensus-building Pozicija1 #714638 Models can support evidence-based recommendations as well as scientific consensus-building in many areas (a few examples include resource allocation (Asgary et al. 2021), containment, and mitigation) (Public Health Agency of Canada 2022). | |
+Citavimą (2) - CitavimąPridėti citatąList by: CiterankMapLink[1] Optimizing planning and design of COVID-19 drive-through mass vaccination clinics by simulation
Cituoja: Ali Asgary, Mahdi M. Najafabadi, Sarah K. Wendel, Daniel Resnick-Ault, Richard D. Zane, Jianhong Wu
Publication date: 5 October 2021
Publication info: Health and Technology, 5 October 2021, Volume 11, pages1359–1368 (2021)
Cituojamas: David Price 10:35 PM 3 November 2023 GMT
URL:
DOI: https://doi.org/10.1007/s12553-021-00594-y
| | Ištrauka - Drive-through clinics have previously been utilized in vaccination efforts and are now being more widely adopted for COVID-19 vaccination in different parts of the world by offering many advantages including utilizing existing infrastructure, large daily throughput and enforcing social distancing by default. Successful, effective, and efficient drive-through facilities require a suitable site and keen focus on layout and process design. To demonstrate the role that high fidelity computer simulation can play in planning and design of drive-through mass vaccination clinics, we used multiple integrated discrete event simulation (DES) and agent-based modelling methods. This method using AnyLogic simulation software to aid in planning, design, and implementation of one of the largest and most successful early COVID-19 mass vaccination clinics operated by UCHealth in Denver, Colorado. Simulations proved to be helpful in aiding the optimization of UCHealth drive through mass vaccination clinic design and operations by exposing potential bottlenecks, overflows, and queueing, and clarifying the necessary number of supporting staff. Simulation results informed the target number of vaccinations and necessary processing times for different drive through station set ups and clinic formats. We found that modern simulation tools with advanced visual and analytical capabilities to be very useful for effective planning, design, and operations management of mass vaccination facilities. |
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