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通过贝叶斯证据综合法估算2011/2012年至2016/2017年荷兰流感病毒有症状感染的发病率。

The incidence of symptomatic infection with influenza virus in the Netherlands 2011/2012 through 2016/2017, estimated using Bayesian evidence synthesis.

作者信息

Teirlinck A C, de Gier B, Meijer A, Donker G, de Lange M, Koppeschaar C, van der Hoek W, Kretzschmar M E, McDonald S A

机构信息

Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), PO Box 1, 3720 BA Bilthoven, Netherlands.

Nivel Primary Care Database - Sentinel Practices, Utrecht, Netherlands.

出版信息

Epidemiol Infect. 2018 Oct 23;147:e30. doi: 10.1017/S095026881800273X.

Abstract

Due to differences in the circulation of influenza viruses, distribution and antigenic drift of A subtypes and B lineages, and susceptibility to infection in the population, the incidence of symptomatic influenza infection can vary widely between seasons and age-groups. Our goal was to estimate the symptomatic infection incidence in the Netherlands for the six seasons 2011/2012 through 2016/2017, using Bayesian evidence synthesis methodology to combine season-specific sentinel surveillance data on influenza-like illness (ILI), virus detections in sampled ILI cases and data on healthcare-seeking behaviour. Estimated age-aggregated incidence was 6.5 per 1000 persons (95% uncertainty interval (UI): 4.7-9.0) for season 2011/2012, 36.7 (95% UI: 31.2-42.8) for 2012/2013, 9.1 (95% UI: 6.3-12.9) for 2013/2014, 41.1 (95% UI: 35.0-47.7) for 2014/2015, 39.4 (95% UI: 33.4-46.1) for 2015/2016 and 27.8 (95% UI: 22.7-33.7) for season 2016/2017. Incidence varied substantially between age-groups (highest for the age-group <5 years: 23 to 47/1000, but relatively low for 65+ years: 2 to 34/1000 over the six seasons). Integration of all relevant data sources within an evidence synthesis framework has allowed the estimation - with appropriately quantified uncertainty - of the incidence of symptomatic influenza virus infection. These estimates provide valuable insight into the variation in influenza epidemics across seasons, by virus subtype and lineage, and between age-groups.

摘要

由于流感病毒的传播、甲型亚型和乙型谱系的分布及抗原漂移存在差异,以及人群对感染的易感性不同,有症状的流感感染发病率在不同季节和年龄组之间可能有很大差异。我们的目标是利用贝叶斯证据综合方法,结合流感样疾病(ILI)的特定季节哨点监测数据、ILI病例样本中的病毒检测结果以及就医行为数据,估算2011/2012至2016/2017这六个季节荷兰有症状感染的发病率。2011/2012季节的年龄汇总发病率估计为每1000人6.5例(95%不确定区间(UI):4.7 - 9.0),2012/2013季节为36.7(95% UI:31.2 - 42.8),2013/2014季节为9.1(95% UI:6.3 - 12.9),2014/2015季节为41.1(95% UI:35.0 - 47.7),2015/2016季节为39.4(95% UI:33.4 - 46.1),2016/2017季节为27.8(95% UI:22.7 - 33.7)。发病率在不同年龄组之间差异很大(<5岁年龄组最高:每1000人23至47例,但65岁及以上年龄组相对较低:六个季节中每1000人2至34例)。在证据综合框架内整合所有相关数据源,使得能够对有症状流感病毒感染的发病率进行估计,并适当量化不确定性。这些估计为了解流感疫情在不同季节、病毒亚型和谱系以及不同年龄组之间的变化提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fefd/6518592/588538c533b1/S095026881800273X_fig1.jpg

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