Gaps of the COVID-19 Vaccination Program in Selected Sites in Mindanao, Philippines

Sales, Reneepearl Kim P.; Ong, Lynnell Alexie; Joe, Joseph Aaron; Alvina, Kristine; Caampued, Michael

doi:10.1177/10105395221083386

Cited by 1 publication

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References 11 publications

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“…Proper handling and storage, and fast distribution of COVID-19 vaccines posed logistics challenges, particularly the preparedness of cold chain infrastructure at the national and local levels ( Park et al, 2021 ; Reyes, Dee & Ho, 2021 ). Shortage of healthcare workers who can administer vaccines also hindered the expansion of the rollout ( Sales et al, 2022 ). As of 9 May 2022, around 68% of the Philippine population aged 5 years or older have been vaccinated with the primary doses.…”

Section: Introductionmentioning

confidence: 99%

Optimal selection of COVID-19 vaccination sites in the Philippines at the municipal level

Cabanilla¹,

Enriquez²,

Velasco³

et al. 2022

PeerJ

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In this work, we present an approach to determine the optimal location of coronavirus disease 2019 (COVID-19) vaccination sites at the municipal level. We assume that each municipality is subdivided into smaller administrative units, which we refer to as barangays. The proposed method solves a minimization problem arising from a facility location problem, which is formulated based on the proximity of the vaccination sites to the barangays, the number of COVID-19 cases, and the population densities of the barangays. These objectives are formulated as a single optimization problem. As an alternative decision support tool, we develop a bi-objective optimization problem that considers distance and population coverage. Lastly, we propose a dynamic optimization approach that recalculates the optimal vaccination sites to account for the changes in the population of the barangays that have completed their vaccination program. A numerical scheme that solves the optimization problems is presented and the detailed description of the algorithms, which are coded in Python and MATLAB, are uploaded to a public repository. As an illustration, we apply our method to determine the optimal location of vaccination sites in San Juan, a municipality in the province of Batangas, in the Philippines. We hope that this study may guide the local government units in coming up with strategic and accessible plans for vaccine administration.

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Section: Introductionmentioning

confidence: 99%