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加拿大安大略省南部青少年和成年人百日咳潜在负担的评估。

Estimation of the underlying burden of pertussis in adolescents and adults in Southern Ontario, Canada.

作者信息

McGirr Ashleigh A, Tuite Ashleigh R, Fisman David N

机构信息

Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.

出版信息

PLoS One. 2013 Dec 23;8(12):e83850. doi: 10.1371/journal.pone.0083850. eCollection 2013.

Abstract

Despite highly successful vaccination programs and high vaccine uptake, both endemic pertussis and periodic pertussis outbreaks continue to occur. The under-recognized role of adolescents and adults in disease transmission, due to waning immunity following natural infection and vaccination, and reduced likelihood of correct diagnosis, may contribute to pertussis persistence. We constructed a mathematical model to describe the transmission of pertussis in Southern Ontario in both pre-vaccine and vaccine eras, to estimate the underlying burden of pertussis in the population. The model was well calibrated using the best available data on pertussis in the pre-vaccination (1880-1929) and vaccination (1993-2004) eras in Ontario. Pertussis under-reporting by age group was estimated by comparing model-projected incidence to reported laboratory-confirmed cases for Greater Toronto. Best-fit model estimates gave a basic reproductive number of approximately 10.6, (seasonal range 9.9 to 11.5). Under-reporting increased with age, and approximately >95% of infections in children were caused by infections in persons with waning immunity to pertussis following prior infection or vaccination. A well-calibrated model suggests that under-recognized cases of pertussis in older individuals are likely to be an important driver of ongoing pertussis outbreaks in children. Model projections strongly support enhancement of booster vaccination efforts in adults.

摘要

尽管疫苗接种计划非常成功且疫苗接种率很高,但地方性百日咳和周期性百日咳疫情仍不断发生。由于自然感染和接种疫苗后免疫力下降,以及正确诊断的可能性降低,青少年和成年人在疾病传播中未得到充分认识的作用可能导致百日咳持续存在。我们构建了一个数学模型来描述安大略省南部在疫苗接种前和疫苗接种时代百日咳的传播情况,以估计人群中百日咳的潜在负担。该模型使用安大略省疫苗接种前(1880 - 1929年)和疫苗接种(1993 - 2004年)时代关于百日咳的最佳可用数据进行了良好校准。通过比较模型预测发病率与大多伦多地区报告的实验室确诊病例,估计了各年龄组百日咳的漏报情况。最佳拟合模型估计得出基本繁殖数约为10.6(季节性范围为9.9至11.5)。漏报率随年龄增加,儿童中约>95%的感染是由先前感染或接种疫苗后对百日咳免疫力减弱的人感染引起的。一个经过良好校准的模型表明,老年人中未被充分认识的百日咳病例可能是儿童中持续百日咳疫情的一个重要驱动因素。模型预测强烈支持加强成人的加强免疫接种工作。

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