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Transmission-dynamic model to capture the indirect effects of infant vaccination with Prevnar (7-valent pneumococcal conjugate vaccine (PCV7)) in older populations

机译:传播动力学模型,以捕获老年人中接种Prevnar(7价肺炎球菌结合疫苗(PCV7))的婴儿疫苗的间接影响

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摘要

We developed an age-structured, transmission-dynamic, mathematical model to quantify the direct and indirect benefits of infant PCV7 vaccination. The model simulates the acquisition of asymptomatic carriage of Streptococcus pneumoniae and the development of fatal and non-fatal invasive pneumococcal disease (IPD) among vaccinated and unvaccinated individuals aged <2, 2-4, 5-17, 18-49, 50-64, and >= 65 years old. The model was parameterized using published US surveillance data, supplemented with data from published literature. The model predicts the observed incidence of IPD with good agreement and may be used to predict the impact of various vaccination strategies in the US or other populations yet to introduce PCV7.
机译:我们开发了年龄结构,传播动力学的数学模型来量化婴儿PCV7疫苗接种的直接和间接收益。该模型模拟了在<2、2-4、5-17、18-49、50-64岁的接种疫苗和未接种疫苗的个体中无症状携带肺炎链球菌的习性以及致命和非致命性侵袭性肺炎球菌疾病(IPD)的发展,并且> = 65岁。使用已发布的美国监视数据以及已发布文献的数据对模型进行参数化。该模型可以很好地预测观察到的IPD发生率,并且可以用于预测各种疫苗接种策略在美国或尚未引入PCV7的其他人群中的影响。

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