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A COVID-19 Vaccine Allocation Scheme Based on Queuing Model

  • Boxuan Lai*
  • , Hongjun Chen
  • *Corresponding author for this work
  • School of Electrical Engineering and Automation, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As the global pandemic becomes inevitable, it is necessary to promote large-scale vaccination as quickly as possible. This paper studies the allocation of COVID-19 vaccine in urban areas. First, the Wave-net method is used to predict the trend of future vaccination, and then the prediction results are fitted to obtain a mathematical model of vaccination in the next 90 days. Then, according to the queuing model, taking Daoli District and Gongshu District as examples, the policies of vaccine distribution in cities with different levels of development are analyzed. Finally, some practical suggestions on vaccine allocation in different cities are given.

Original languageEnglish
Title of host publication6th IEEE International Conference on Universal Village, UV 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665474771
DOIs
StatePublished - 2022
Externally publishedYes
Event6th IEEE International Conference on Universal Village, UV 2022 - Hybrid, Boston, United States
Duration: 22 Oct 202225 Oct 2022

Publication series

Name6th IEEE International Conference on Universal Village, UV 2022

Conference

Conference6th IEEE International Conference on Universal Village, UV 2022
Country/TerritoryUnited States
CityHybrid, Boston
Period22/10/2225/10/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • queuing model
  • regression analysis
  • vaccination
  • wave-net

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