Enhancing Mass Vaccination Programs with Queueing Theory and Spatial Optimization.

ABSTRACT:

Background

Mass vaccination is a cornerstone of public health emergency preparedness and response. However, injudicious placement of vaccination sites can lead to the formation of long waiting lines or queues, which discourages individuals from waiting to be vaccinated and may thus jeopardize the achievement of public health targets. Queueing theory offers a framework for modeling queue formation at vaccination sites and its effect on vaccine uptake.

Methods

We developed an algorithm that integrates queueing theory within a spatial optimization framework to optimize the placement of mass vaccination sites. The algorithm was built and tested using data from a mass canine rabies vaccination campaign in Arequipa, Peru. We compared expected vaccination coverage and losses

SUBMITTER: Xie S 

PROVIDER: S-EPMC11213063 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature