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A decision support system for prioritised COVID-19 two-dosage vaccination allocation and distribution

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  • Shahparvari, Shahrooz
  • Hassanizadeh, Behnam
  • Mohammadi, Alireza
  • Kiani, Behzad
  • Lau, Kwok Hung
  • Chhetri, Prem
  • Abbasi, Babak

Abstract

This study proposes a decision support system (DSS) that integrates GIS, analytics, and simulation methods to help develop a priority-based distribution of COVID-19 vaccines in a large urban setting. The methodology applies novel hierarchical heuristic-simulation procedures to create a holistic algorithm for prioritising the process of demand allocation and optimising vaccine distribution. The Melbourne metropolitan area in Australia with a population of over five million is used as a case study. Three vaccine supply scenarios, namely limited, excessive, and disruption, were formulated to operationalise a two-dose vaccination program. Vaccine distribution with hard constraints were simulated and then further validated with sensitivity analyses. The results show that vaccines can be prioritised to society’s most vulnerable segments and distributed using the current logistics network with 10 vehicles. Compared with other vaccine distribution plans with no prioritisation, such as equal allocation of vaccines to local government areas based on population size or one on a first-come-first-serve basis, the plans generated by the proposed DSS ensure prioritised vaccination of the most needed and vulnerable population. The aim is to curb the spread of the infection and reduce mortality rate more effectively. They also achieve vaccination of the entire population with less logistical resources required. As such, this study contributes to knowledge and practice in pandemic vaccine distribution and enables governments to make real-time decisions and adjustments in daily distribution plans. In this way any unforeseen disruptions in the vaccine supply chain can be coped with.

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  • Shahparvari, Shahrooz & Hassanizadeh, Behnam & Mohammadi, Alireza & Kiani, Behzad & Lau, Kwok Hung & Chhetri, Prem & Abbasi, Babak, 2022. "A decision support system for prioritised COVID-19 two-dosage vaccination allocation and distribution," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    • Handle: RePEc:eee:transe:v:159:y:2022:i:c:s1366554521003537
    DOI: 10.1016/j.tre.2021.102598
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    as
    1. Maged Dessouky & Fernando Ordóñez & Hongzhong Jia & Zhihong Shen, 2013. "Rapid Distribution of Medical Supplies," International Series in Operations Research & Management Science, in: Randolph Hall (ed.), Patient Flow, edition 2, chapter 0, pages 385-410, Springer.
    2. Mishra, Swasti Vardhan & Gayen, Amiya & Haque, Sk. Mafizul, 2020. "COVID-19 and urban vulnerability in India," SocArXiv 523r8, Center for Open Science.
    3. Ozgur Araz & Alison Galvani & Lauren Meyers, 2012. "Geographic prioritization of distributing pandemic influenza vaccines," Health Care Management Science, Springer, vol. 15(3), pages 175-187, September.
    4. Lin, Qi & Zhao, Qiuhong & Lev, Benjamin, 2020. "Cold chain transportation decision in the vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 283(1), pages 182-195.
    5. Harper, P. R. & Shahani, A. K. & Gallagher, J. E. & Bowie, C., 2005. "Planning health services with explicit geographical considerations: a stochastic location-allocation approach," Omega, Elsevier, vol. 33(2), pages 141-152, April.
    6. Linda Zhang & Gang D.U. & Jun W.U. & Yujie M.A., 2020. "Joint production planning, pricing and retailer selection with emission control based on Stackelberg game and nested genetic algorithm," Post-Print hal-03276837, HAL.
    7. Saki Takahashi & C. Jessica E. Metcalf & Matthew J. Ferrari & Andrew J. Tatem & Justin Lessler, 2017. "The geography of measles vaccination in the African Great Lakes region," Nature Communications, Nature, vol. 8(1), pages 1-9, August.
    8. Igor Linkov & Todd Bridges & Felix Creutzig & Jennifer Decker & Cate Fox-Lent & Wolfgang Kröger & James H. Lambert & Anders Levermann & Benoit Montreuil & Jatin Nathwani & Raymond Nyer & Ortwin Renn &, 2014. "Changing the resilience paradigm," Nature Climate Change, Nature, vol. 4(6), pages 407-409, June.
    9. Srinivasan Venkatramanan & Jiangzhuo Chen & Arindam Fadikar & Sandeep Gupta & Dave Higdon & Bryan Lewis & Madhav Marathe & Henning Mortveit & Anil Vullikanti, 2019. "Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints," PLOS Computational Biology, Public Library of Science, vol. 15(9), pages 1-17, September.
    10. Zhao Li & Zhiqiang Ma & Wei Shi & Xianggen Qian, 2016. "Research on Medicine Distribution Route Optimization for Community Health Service Institutions," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-7, May.
    11. Maureen S. Golan & Laura H. Jernegan & Igor Linkov, 2020. "Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic," Environment Systems and Decisions, Springer, vol. 40(2), pages 222-243, June.
    12. Özdamar, Linet & Demir, Onur, 2012. "A hierarchical clustering and routing procedure for large scale disaster relief logistics planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 591-602.
    13. Ciancimino, Elena & Cannella, Salvatore & Bruccoleri, Manfredi & Framinan, Jose M., 2012. "On the Bullwhip Avoidance Phase: The Synchronised Supply Chain," European Journal of Operational Research, Elsevier, vol. 221(1), pages 49-63.
    14. Syam, Siddhartha S. & Côté, Murray J., 2010. "A location-allocation model for service providers with application to not-for-profit health care organizations," Omega, Elsevier, vol. 38(3-4), pages 157-166, June.
    15. Govindan, Kannan & Mina, Hassan & Alavi, Behrouz, 2020. "A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19)," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
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    3. Wang, Fan & Xu, Danni & Zhuo, Xiaopo & Zhang, Chao & Liu, Yaoqi, 2022. "Improving consumer welfare in vaccine market: Pricing, government subsidies and consumer awareness," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).

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