A Mixed-Integer Programming Model for Optimal Allocation of COVID-19 Vaccines in Davao City
With the emergence of COVID-19 in Davao City, the need to acquire herd immunity through vaccination is paramount in averting the further spread of the disease in addition to complying with health and safety protocols. This study presents a reformulation of Smalley et al.’s (2015) oral cholera vaccine—mixed-integer programming model (OCV-MIP) to fit the context of the COVID-19 vaccination campaign in the city for 5 years, with consideration of the possible need for annual revaccination, given limited supply and budget resources, to minimize COVID-19 cases further. The population is divided into subgroups with associated incidence rates serving as the basis for the optimal allocation of vaccines. Different ways of population stratification by some combinations of risk areas and age group divisions were explored. The results revealed that it is optimal to prioritize the vaccination of subgroups with the highest incidence rates.
Keywords: forecasting · COVID-19 · Davao City · LINGO · Mixed-Integer Programming · Optimization · Philippines · SARS-CoV-2 · Vaccinet
Copyright (c) 2023 Juremae T. Pesidas, Giovanna Fae R. Oguis, Eliezer O. Diamante, Zython Paul T. Lachica, May Anne E. Mata
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.In the spirit of open access and free distribution of knowledge, the Banwa journals do not charge authors for the publication of their articles. All costs for journal production and online hosting and archiving are borne by the publisher. In return for cost-free publication of their articles, the authors give the university the nonexclusive right to publish articles in electronic and print versions of the journal and to include the article in future reprinting of the issue in whole or in part. Authors may make use of their articles published in the journal, whether in its original or altered form, provided that acknowledgment is given to the journal for publishing them first.