Optimal Allocation of COVID-19 Vaccines in the Philippines

Buhat, Christian Alvin H.; Lutero, Destiny S.; Olave, Yancee H.; Quindala, Kemuel M.; Recreo, Mary Grace P.; Talabis, Dylan Antonio S. J.; Tubay, Jerrold M.; Rabajante, Jomar F.

doi:10.1101/2021.02.12.21251640

Cited by 6 publications

(6 citation statements)

References 13 publications

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“…In Basciftci, Yu & Shen (2021) , a mathematical framework for finding the optimal locations of distribution centers for test kits and vaccines has been developed. In Buhat et al (2021) , a linear programming model was used for COVID-19 vaccine allocation in the Philippines at the national level. The scale of these studies necessitates the consideration of logistic constraints ( e.g ., shipping cost, production capacity, operating cost, etc .).…”

Section: Introductionmentioning

confidence: 99%

“…By doing so, we can focus on finding the optimal location of vaccination sites that will make the vaccines more accessible to the population of a municipality. Our work can be used in conjunction with vaccine allocation methods at the national level ( Bertsimas et al, 2021 ; Basciftci, Yu & Shen, 2021 ; Buhat et al, 2021 ). Once the vaccines are allocated to a municipality, our method can be applied to identify the sites where the vaccines will be distributed.…”

Section: Introductionmentioning

confidence: 99%

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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%

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

View full text Add to dashboard Cite

show abstract

“…Thus, we can focus on finding the optimal location of vaccination sites that will make the vaccines more accessible to the population of the town or city. Our work can be used in conjunction with vaccine allocation methods at the national level [25][26][27]. Once the vaccines are allocated to a town, our method can be applied to identify the sites where the vaccines will be distributed.…”

Section: Introductionmentioning

confidence: 99%

“…In [26], a mathematical framework in finding the optimal locations of distribution centers for test kits and vaccines has been developed. In [27], a linear programming model was used for COVID-19 vaccine allocation in the Philippines at the national level. Because of the scale of these studies, constraints must be considered (e.g., shipping cost, production capacity, operating cost, etc.).…”

Section: Introductionmentioning

confidence: 99%

Optimal Selection of COVID-19 Vaccination Sites at the Municipal Level

Kim

Eat

Mendoza

et al. 2021

Preprint

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In this work, we present an approach to determine the optimal location of coronavirus disease (COVID-19) vaccination sites at the municipal level. We assume that each municipality or town is subdivided into smaller administrative units, which we refer to as villages or 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 villages, number of COVID-19 cases, and population densities of the villages. We present a numerical scheme to solve the optimization problem and give a detailed description of the algorithm, which is coded in Python. To make the results reproducible, the codes used in this study are uploaded to a public repository, which also contains complete instructions on how to use them. As an illustration, we apply our method in determining the optimal location of vaccination sites in San Juan, a town in the province of Batangas, in the Philippines. We hope that this study may guide the local government units in coming up with strategic plans for the COVID-19 vaccine rollout.

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“…(5,(14)(15)(16)(17)(18) Our study adds a Kyrgyz-specific perspective to the existing evidence on the potential effects of vaccination on the course of the COVID-19 pandemic in low-and middle-income countries (LMICs). (19)(20)(21)(22)(23)(24) Specifically, we modelled four hypothetical age-dependent vaccination strategies to explore optimal options for reducing both mortality and healthcare demand in Kyrgyzstan. The model took into account the national health system capacity and vaccine availability in Kyrgyzstan.…”

mentioning

confidence: 99%

Mathematical modelling of COVID-19 vaccination strategies in Kyrgyzstan

Moldokmatova

Dooronbekova

Jumalieva

et al. 2021

Preprint

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Objectives: In December 2020, an unprecedented vaccination programme to deal with the COVID-19 pandemic was initiated worldwide. However, the vaccine provision is currently insufficient for most countries to vaccinate their entire eligible population, so it is essential to develop the most efficient vaccination strategies. COVID-19 disease severity and mortality vary by age, therefore age-dependent vaccination strategies must be developed. Study design and Methods: Here, we use an age-dependent SIERS (susceptible, infected, exposed, recovered, susceptible), deterministic model, to compare four hypothetical age-dependent vaccination strategies and their potential impact on the COVID-19 epidemic in Kyrgyzstan. Results: Over the short-term (until March 2022), a vaccination rollout strategy focussed on high-risk groups (aged greater than 50 years) with some vaccination among high-incidence groups (aged 20 to 49 years) may decrease symptomatic cases and COVID-19-attributable deaths. However, there will be limited impact on the estimated overall number of COVID19 cases with the relatively low coverage of high incidence groups (15 to 25% based on current vaccine availability). Vaccination plus nonpharmaceutical interventions (NPIs), such as mask-wearing and social distancing will further decrease COVID-19 incidence and mortality and may have an indirect impact on all-cause mortality. Conclusions: Our results and other evidence suggest that vaccination is most effective in flattening the epidemic curve and reducing mortality if supported by NPIs. In the short term, focussing on high-risk groups may reduce the burden on the health system and result in fewer deaths. However, the herd effect from delaying another peak may only be achieved by greater vaccination coverage in high incidence groups.

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Optimal Allocation of COVID-19 Vaccines in the Philippines

Cited by 6 publications

References 13 publications

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

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

Optimal Selection of COVID-19 Vaccination Sites at the Municipal Level

Mathematical modelling of COVID-19 vaccination strategies in Kyrgyzstan

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