Unknown

Dataset Information

Using Constrained Optimization for the Allocation of COVID-19 Vaccines in the Philippines.


ABSTRACT:

Background

Vaccine allocation is a national concern especially for countries such as the Philippines that have limited resources in acquiring COVID-19 vaccines. As such, certain groups are suggested to be prioritized for vaccination to protect the most vulnerable before vaccinating others.

Objective

The study aims to determine an optimal and equitable allocation of COVID-19 vaccines in the Philippines that will minimize the projected number of additional COVID-19 deaths while satisfying the priority groups for immediate vaccination.

Methods

In this study, a linear programming model is formulated to determine an allocation of vaccines such that COVID-19 deaths are minimized while the prioritization framework set by the government is satisfied. Data used were collected

SUBMITTER: Buhat CAH 

PROVIDER: S-EPMC8225461 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature