Decision-making for pediatric vaccination scheduling under multiple constraints: a case study from China✰
Xiaochen Ma, Qiang Huang, Shanshan Chai, Mingxia Zhang

TL;DR
This study introduces a scheduling method to improve pediatric vaccination services in China, balancing routine and outbreak-related demands.
Contribution
A quantitative decision-support approach for pediatric vaccination scheduling under operational constraints.
Findings
The approach reduces day-to-day fluctuations in vaccination volume and improves predictability.
Routine immunization services remain stable even during influenza outbreaks.
Structured scheduling enhances operational efficiency and resource use in vaccination centers.
Abstract
Providing timely and equitable pediatric vaccination services is a fundamental responsibility of public health systems. As vaccination schedules become more complex-with an increasing number of vaccines, age-specific eligibility rules, and strict dose interval requirements-vaccination centers are under growing pressure to manage routine services while still being able to respond to epidemic-related demand. This study presents a quantitative decision-support approach designed to assist pediatric vaccination scheduling under real-world operational constraints, including age eligibility, inter-dose intervals, and daily service capacity. Using data from a public health vaccination center in Shenzhen, China, the approach is applied to develop balanced vaccination schedules for both routine childhood immunization and periods of increased demand during influenza outbreaks. Compared with…
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Taxonomy
TopicsHealthcare Operations and Scheduling Optimization · Facility Location and Emergency Management · COVID-19 epidemiological studies
