Abstract
Vaccination has become the most powerful tool to win the battle at COVID-19. Optimised distribution of the vaccines is crucial to provide a level of immunisation over a country that protects susceptible individuals from infectious diseases. However, the COVID-19 vaccines are recent, so manufacturing is slow. Consequently, its limited supply has a tremendous impact on the distribution policies in countries that depend on foreign supplies. In this chapter, a model of distribution of the COVID-19 vaccine is proposed, and several optimisation algorithms are tested. The proposal is tested in the Argentine scenario. It features an essential demonstration of the impact of an optimised distribution of the vaccine.
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References
Abdel-Basset M, Abdel-Fatah L, Sangaiah AK (2018) Metaheuristic algorithms: a comprehensive review. Elsevier Inc. https://doi.org/10.1016/B978-0-12-813314-9.00010-4. https://doi.org/10.1016/B978-0-12-813314-9.00010-4
Baquela E, Olivera A (2019) A novel hybrid multi-objective metamodel-based evolutionary optimization algorithm. Oper Res Perspect 6. https://doi.org/10.1016/j.orp.2019.100098
Bertsimas D, Ivanhoe J, Jacquillat A, Li M, Previero A, Lami OS, Bouardi HT (2020) Optimizing vaccine allocation to combat the COVID-19 pandemic. medRxiv. https://doi.org/10.1101/2020.11.17.20233213
Chu DK, Pan Y, Cheng SM, Hui KP, Krishnan P, Liu Y, Ng DY, Wan CK, Yang P, Wang Q et al (2020) Molecular diagnosis of a novel coronavirus (2019-ncov) causing an outbreak of pneumonia. Clin Chem 66(4):549–555
Coello C, Van Veldhuizen D, Lamont G (2002) Evolutionary algorithms for solving multi-objective problems. Kluwer, New York
Deb K (2001) Multi-Objective Optimization using Evolutionary Algorithms. John Wiley & Sons
Deb K, Jain H (2014) An evolutionary many-objective optimization algorithm using reference point-based nondominated sorting approach, part i: solving problems with box constraints. IEEE Trans Evol Comput 18(4):577–601. https://doi.org/10.1109/TEVC.2013.2281535
Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6(2):182–197
Emanuel EJ, Persad G, Kern A, Buchanan A, Fabre C, Halliday D, Heath J, Herzog L, Leland RJ, Lemango ET, Luna F, McCoy MS, Norheim OF, Ottersen T, Schaefer GO, Tan KC, Wellman CH, Wolff J, Richardson HS (2020) An ethical framework for global vaccine allocation. Science 369(6509):1309–1312. https://doi.org/10.1126/science.abe2803. https://science.sciencemag.org/content/369/6509/1309
Hu XM, Zhang J, Chen H (2014) Optimal vaccine distribution strategy for different age groups of population: a differential evolution algorithm approach. Math Probl Eng 2014:1–7. https://doi.org/10.1155/2014/702973
Jecker NS, Wightman AG, Diekema DS (2021) Vaccine ethics: an ethical framework for global distribution of covid-19 vaccines. J Med Ethics. https://doi.org/10.1136/medethics-2020-107036. https://jme.bmj.com/content/early/2021/02/16/medethics-2020-107036
Kim IY, De Weck OL (2005) Adaptive weighted-sum method for bi-objective optimization: pareto front generation. Struct Multidiscip Optim 29(2):149–158. https://doi.org/10.1007/s00158-004-0465-1.doi:10.1007/s00158-004-0465-1
Li K, Chen R, Fu G, Yao X (2019) Two-archive evolutionary algorithm for constrained multiobjective optimization. IEEE Trans Evol Comput 23(2):303–315. https://doi.org/10.1109/TEVC.2018.2855411
Liefooghe A, Derbel B (2016) A correlation analysis of set quality indicator values in multiob-jective optimization. In: Genetic and Evolutionary Computation Conference (GECCO 2016). Denver, United States. https://hal.archives-ouvertes.fr/hal-01159961
Matrajt L, Eaton J, Leung T, Brown ER (2020) Vaccine optimization for COVID-19: Who to vaccinate first? Sci Adv 7(6). https://doi.org/10.1126/sciadv.abf1374. https://advances.sciencemag.org/content/7/6/eabf1374
Mukhopadhyay N, Sengupta PP (2021) Gini inequality index. Chapman and Hall/CRC, 1st edn. Boca Raton, CRC Press. https://doi.org/10.1201/9781003143642. https://www.taylorfrancis.com/books/9781000349122
Mwalili S, Kimathi M, Ojiambo V, Gathungu D, Mbogo R (2020) Seir model for covid-19 dynamics incorporating the environment and social distancing. BMC Res Notes 13(352). https://doi.org/10.1186/s13104-020-05192-1
Rojas MG, Olivera AC, Carballido JA, Vidal PJ (2020) A memetic cellular genetic algorithm for cancer data microarray feature selection. IEEE Lat Am Trans 18(11):1874–1883. https://doi.org/10.1109/TLA.2020.9398628
Shim E (2021) Optimal allocation of the limited COVID-19 vaccine supply in South Korea. J Clin Med 10(4):591. https://doi.org/10.3390/jcm10040591
Vidal P, Olivera A (2019) Management of urban traffic flow based on traffic lights scheduling optimization. IEEE Lat Am Trans 17(1). https://doi.org/10.1109/TLA.2019.8826701
Yang C, Wang J (2020) A mathematical model for the novel coronavirus epidemic in Wuhan. China. Math Biosci Eng 17(3):2708–2724. https://doi.org/10.3934/mbe.2020148
Yang Y, Bidkhori H, Rajgopal J (2021) Optimizing vaccine distribution networks in low and middle-income countries. Omega 99. https://doi.org/10.1016/j.omega.2020.102197
Zhang Q, Li H (2007) MOEA/D: A multiobjective evolutionary algorithm based on decomposition. IEEE Trans Evol Comput 11(6):712–731
Zitzler E, Brockhoff D, Thiele L (2007) The hypervolume indicator revisited: on the design of pareto-compliant indicators via weighted integration. In: Obayashi S, Deb K, Poloni C, Hi-royasu T, Murata T (eds) Evolutionary Multi-Criterion Optimization, pp 862–876. Springer Berlin Heidelberg, Berlin, Heidelberg
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This work was supported by Universidad Tecnológica Nacional Facultad Regional San Nicolás grant ASPPBSN0008252 and Universidad Nacional de Cuyo grant PI type 1 B081.
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Baquela, E.G., Olivera, A.C. (2022). Optimising Distribution of Limited COVID-19 Vaccines: Analysing Impact in Argentine. In: Regis-Hernández, F., Mora-Vargas, J., Sánchez-Partida, D., Ruiz, A. (eds) Humanitarian Logistics from the Disaster Risk Reduction Perspective . Springer, Cham. https://doi.org/10.1007/978-3-030-90877-5_9
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