Uptake and effectiveness of a novel seasonal influenza vaccination campaign for school-age children in the 2023/2024 influenza season in Shanghai, China
Vaccine·
- DOI
- 10.1016/j.vaccine.2026.128478
- PMID
- 41849897
- PMCID
- —
- OpenAlex
- W7138084123
- Study type
- Mathematical modelling
- Publisher
- Elsevier BV
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The findings indicate that a district-level vaccination campaign delivered through community healthcare centers may be relevant to efforts to increase influenza vaccination among school-age children. The abstract describes potential effects on other age groups, but it does not establish effects beyond the modeled setting.
Structured evidence summary
Research question
The study examined whether a community healthcare center-based influenza vaccination campaign increased vaccination uptake among school-age children and affected influenza burden during the 2023/2024 season in Minhang District, Shanghai.
Study design
The study combined vaccination data collected from 14 communities between September 2023 and March 2024 with an age-structured dynamic transmission model. The model used influenza surveillance data from 2016 to 2024 to estimate effects associated with increased vaccination coverage among school-age children.
Population and setting
The setting was Minhang District in Shanghai, China. The analysis included five age groups, with the intervention specifically targeting school-age children.
Main findings
Vaccination coverage among school-age children reached 20.84% during the campaign. The authors report that the model estimated lower influenza burden overall and indirect benefits for other population groups, although the supplied abstract does not provide the comparison value or numerical burden estimates.
Public-health relevance
The findings indicate that a district-level vaccination campaign delivered through community healthcare centers may be relevant to efforts to increase influenza vaccination among school-age children. The abstract describes potential effects on other age groups, but it does not establish effects beyond the modeled setting.
Important limitations
The supplied abstract omits the comparator for the reported coverage value and does not provide numerical estimates, uncertainty measures, or detailed model assumptions for the reported burden reduction. Interpretation is also limited by reliance on a single district-level modeling study and the supplied article abstract and metadata; the original paper is required for decision-grade assessment.
GIDS interpretation
This article is discoverable as evidence concerning influenza vaccination, transmission modeling, surveillance data, and health policy in Shanghai, China. It provides contextual evidence about a modeled vaccination intervention and should not be interpreted as confirmation of a current surveillance signal.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 16 auditable classifier relationships to diseases, places, topics, and study design.