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分子监测对瑞典甲型肝炎暴发病例检出的影响:2009 年至 2018 年的回顾性研究。

High impact of molecular surveillance on hepatitis A outbreak case detection in Sweden: a retrospective study, 2009 to 2018.

机构信息

Public Health Agency of Sweden, Department of Microbiology, Solna, Sweden.

European Public Health Microbiology Training Programme (EUPHEM), European Centre for Disease Prevention and Control (ECDC), Solna, Sweden.

出版信息

Euro Surveill. 2021 Mar;26(9). doi: 10.2807/1560-7917.ES.2021.26.9.1900763.

Abstract

BackgroundSwedish hepatitis A surveillance includes sequence-based typing, but its contribution to outbreak detection in relation to epidemiological investigations has not been fully evaluated.AimTo evaluate the role of sequence-based typing in hepatitis A outbreak detection and to describe the hepatitis A epidemiology in Sweden to improve surveillance.MethodsWe retrospectively investigated hepatitis A virus sequences of 447 cases notified in Sweden 2009-18. We performed a phylogenetic analysis of evolutionary distances to identify cases with similar virus sequences (≥ 459/460 identical nt in the VP1/P2A junction). Unique sequences, dyads and sequence-based clusters (SBCs) were identified. We linked non-sequenced cases by epidemiological information and retrospectively assessed the value of typing for outbreak identification.ResultsFifty-five percent (n = 542/990) of the notified hepatitis A cases were referred to the Public Health Agency of Sweden for typing and 447 (45%) were sequenced successfully. Subgenotypes included IA (42.5%, n = 190), IB (42.7%, n = 191) and IIIA (14.8%, n = 66). Phylogenetic analysis identified 154 unique sequences, 33 dyads (66 cases) and 34 SBCs (227 cases). The combination of molecular and epidemiological data revealed 23 potential outbreaks comprising 201 cases. Cases were linked by sequence (59%, n = 118), epidemiological data (11%, n = 23) or both (30%, n = 60). Typing was needed to identify 15 of 23 potential outbreak signals.ConclusionSequence-based typing contributed substantially to detecting clustering cases and identifying outbreaks in Sweden. The results show routine sequence-based typing detects outbreaks, promotes timely outbreak investigations and facilitates international collaboration.

摘要

背景

瑞典的甲型肝炎监测包括基于序列的分型,但尚未充分评估其相对于流行病学调查在甲型肝炎暴发检测中的作用。

目的

评估基于序列的分型在甲型肝炎暴发检测中的作用,并描述瑞典的甲型肝炎流行病学,以改进监测。

方法

我们回顾性调查了 2009 年至 2018 年在瑞典报告的 447 例甲型肝炎病毒序列。我们对进化距离进行了系统发育分析,以识别具有相似病毒序列(VP1/P2A 交界处≥459/460 个相同核苷酸)的病例。鉴定了独特序列、对偶和基于序列的聚类(SBC)。我们通过流行病学信息将未测序的病例联系起来,并回顾性评估了分型对暴发识别的价值。

结果

55%(n=542/990)的甲型肝炎报告病例被转介到瑞典公共卫生署进行分型,其中 447 例(45%)成功测序。亚基因型包括 IA(42.5%,n=190)、IB(42.7%,n=191)和 IIIA(14.8%,n=66)。系统发育分析确定了 154 个独特序列、33 对偶(66 例)和 34 个 SBC(227 例)。分子和流行病学数据的结合揭示了 23 个包含 201 例病例的潜在暴发。病例通过序列(59%,n=118)、流行病学数据(11%,n=23)或两者(30%,n=60)联系起来。23 个潜在暴发信号中有 15 个需要分型来识别。

结论

基于序列的分型对检测瑞典的聚类病例和暴发起到了重要作用。结果表明,常规的基于序列的分型可检测暴发,促进及时的暴发调查,并促进国际合作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a93/7934221/86b1220d9892/1900763-f1.jpg

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