Next Article in Journal
The Relationship between Single Task, Dual Task Performance and Impulsiveness Personality Traits of Young Adults in the Community
Next Article in Special Issue
The Demand for Elective Neurosurgery at a German University Hospital during the First Wave of COVID-19
Previous Article in Journal
Regional Variability in the Access to Cardiac Rehabilitation in Poland
Previous Article in Special Issue
Analysis and Evaluation of COVID-19 Web Applications for Health Professionals: Challenges and Opportunities
Article

A Drive-through Simulation Tool for Mass Vaccination during COVID-19 Pandemic

1
Disaster & Emergency Management, School of Administrative Studies and Advanced Disaster, Emergency and Rapid Response Simulation (ADERSIM), York University, Toronto, ON M3J 1P3, Canada
2
Advanced Disaster, Emergency and Rapid Response Simulation (ADERSIM), York University, Toronto, ON M3J 1P3, Canada
3
Duty Officer, Departmental Emergency Operations Centre, Community and Health Services, The Regional Municipality of York, Newmarket, ON L3Y 4W5, Canada
4
Department of Mathematics and Statistics and Laboratory for Industrial and Applied Mathematics, York University, Toronto, ON M3J 1P3, Canada
*
Author to whom correspondence should be addressed.
Healthcare 2020, 8(4), 469; https://doi.org/10.3390/healthcare8040469
Received: 5 October 2020 / Revised: 29 October 2020 / Accepted: 2 November 2020 / Published: 9 November 2020
(This article belongs to the Special Issue COVID-19 Pandemic: Challenges Facing the Health System)
Several research and development teams around the world are working towards COVID-19 vaccines. As vaccines are expected to be developed and produced, preparedness and planning for mass vaccination and immunization will become an important aspect of the pandemic management. Mass vaccination has been used by public health agencies in the past and is being proposed as a viable option for COVID-19 immunization. To be able to rapidly and safely immunize a large number of people against SARS-CoV-2, different mass vaccination options are available. Drive-through facilities have been successfully used in the past for immunization against other diseases and for testing during COVID-19. In this paper we introduce a drive-through vaccination simulation tool that can be used to enhance the planning, design, operation, and feasibility and effectiveness assessment of such facilities. The simulation tool is a hybrid model that integrates discrete event and agent-based modeling techniques. The simulation outputs visually and numerically show the average processing and waiting times and the number of cars and people that can be served (throughput values) under different numbers of staff, service lanes, screening, registration, immunization, and recovery times. View Full-Text
Keywords: mass vaccination; point of dispensing; drive-through; mass immunization; COVID-19; agent-based simulation; discrete event simulation mass vaccination; point of dispensing; drive-through; mass immunization; COVID-19; agent-based simulation; discrete event simulation
Show Figures

Figure 1

MDPI and ACS Style

Asgary, A.; Najafabadi, M.M.; Karsseboom, R.; Wu, J. A Drive-through Simulation Tool for Mass Vaccination during COVID-19 Pandemic. Healthcare 2020, 8, 469. https://doi.org/10.3390/healthcare8040469

AMA Style

Asgary A, Najafabadi MM, Karsseboom R, Wu J. A Drive-through Simulation Tool for Mass Vaccination during COVID-19 Pandemic. Healthcare. 2020; 8(4):469. https://doi.org/10.3390/healthcare8040469

Chicago/Turabian Style

Asgary, Ali, Mahdi M. Najafabadi, Richard Karsseboom, and Jianhong Wu. 2020. "A Drive-through Simulation Tool for Mass Vaccination during COVID-19 Pandemic" Healthcare 8, no. 4: 469. https://doi.org/10.3390/healthcare8040469

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop