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The problem
Intervention: Community healthcare center-based influenza vaccination campaign targeting school-age children during 2023/2024 season
Who it was tested with: School-age children (7-18 years) in Minhang District, Shanghai, China; also evaluated indirect effects on other age groups.
Experience from people who deliver programmes: stories, case studies and lessons learned. Valuable for understanding how and why, and for spotting what to test next, but not a measure of effect.
"Using influenza surveillance data from 2016 to 2024, an age-structured dynamic transmission model assessed how increased coverage among school-age children influenced overall disease burden." The study employed mathematical modeling to translate observed changes in vaccination coverage into estimated population-level health benefits, making it a pre-post design with modeled outcomes rather than experimental validation.
Outcomes are model-based projections rather than directly observed clinical outcomes. Study measures coverage improvement and modeled disease reduction but does not report confirmed influenza cases prevented through actual surveillance. The generalizability of results to other geographic areas or populations is unclear.
Across countries and designs
1 study · 1 country
