Statistical analysis shows vaccination schedules affect disease burden in seasonal influenza, suggesting timing strategies may improve outcomes.
The most favorable vaccination schedule is sensitive to changes in initial VE, waning rate, and peak timing. Given estimates of these quantities from statistical and immunological models and observations, our methods can inform vaccination recommendations in order to most effectively reduce the annual disease burden caused by seasonal influenza. Specifically, accurate peak timing forecasts for the upcoming season have the potential to guide decisions on when to vaccinate.
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Spencer et al. (2025) studied this question.
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