Evidence map›Paper›PMID 41869616›Full record

ArticleFrontiers in public health2026

Decision-making for pediatric vaccination scheduling under multiple constraints: a case study from China

Xiaochen Ma, Qiang Huang, Shanshan Chai, Mingxia Zhang

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xiaochen MaSchool of Economics and Management, Dongguan University of Technology, Dongguan, Guangdong, China.
Qiang HuangNanshan District Center for Disease Control and Prevention, Shenzhen, Guangdong, China.
Shanshan ChaiCollege of Management, Shenzhen University, Shenzhen, China.
Mingxia ZhangCollege of Management, Shenzhen University, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: 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. Methods: 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. Results: Compared with conventional walk-in or unscheduled vaccination practices, the proposed approach noticeably reduces day-to-day fluctuations in vaccination volume and makes service delivery more predictable. Daily vaccination workloads stabilize over time, which helps vaccination centers plan staffing more efficiently and use resources more effectively. Even when additional demand related to influenza outbreaks is taken into account, routine immunization services remain stable, suggesting that adequate capacity can be maintained for emergency situations. Discussion: By making vaccination schedules more balanced and predictable, this approach offers practical decision support for public health vaccination centers. The findings suggest that more structured scheduling can improve operational efficiency, strengthen preparedness for epidemic outbreaks, and help ensure equitable access to pediatric immunization services.

Indexed as

Decision MakingImmunization ProgramsImmunization ScheduleVaccinationChildChild, PreschoolChinaDecision Support TechniquesDisease OutbreaksHumansInfantInfluenza, HumanInfluenza VaccinesInfluenza Vaccinesbalanced schedulinginfluenza outbreakoptimizationpediatric vaccinationservice capacity

Identifiers

PMID41869616
PMCPMC13002810

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.