Determining the timing of respiratory syncytial virus (RSV) epidemics: a systematic review, 2016 to 2021; method categorisation and identification of influencing factors

Author:

Staadegaard Lisa1ORCID,Dückers Michel231ORCID,van Summeren Jojanneke1ORCID,van Gameren Rob1,Demont Clarisse4,Bangert Mathieu4ORCID,Li You56ORCID,Casalegno Jean-Sebastien7ORCID,Caini Saverio1ORCID,Paget John1ORCID

Affiliation:

1. Netherlands Institute for Health Services Research (Nivel), Utrecht, The Netherlands

2. ARQ National Psychotrauma Centre, Diemen, The Netherlands

3. Faculty of Behavioural and Social Sciences, University of Groningen, Groningen, The Netherlands

4. Sanofi Pasteur, Lyon, France

5. Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom

6. National Vaccine Innovation Platform, School of Public Health, Nanjing Medical University, Nanjing, China

7. Hospices Civils de Lyon; Hôpital de la Croix-Rousse; Centre de Biologie Nord; Institut des Agents Infectieux; Laboratoire de Virologie, Lyon; France

Abstract

Background There is currently no standardised approach to estimate respiratory syncytial virus (RSV) epidemics’ timing (or seasonality), a critical information for their effective prevention and control. Aim We aimed to provide an overview of methods to define RSV seasonality and identify factors supporting method choice or interpretation/comparison of seasonal estimates. Methods We systematically searched PubMed and Embase (2016–2021) for studies using quantitative approaches to determine the start and end of RSV epidemics. Studies’ features (data-collection purpose, location, regional/(sub)national scope), methods, and assessment characteristics (case definitions, sampled population’s age, in/outpatient status, setting, diagnostics) were extracted. Methods were categorised by their need of a denominator (i.e. numbers of specimens tested) and their retrospective vs real-time application. Factors worth considering when choosing methods and assessing seasonal estimates were sought by analysing studies. Results We included 32 articles presenting 49 seasonality estimates (18 thereof through the 10% positivity threshold method). Methods were classified into eight categories, two requiring a denominator (1 retrospective; 1 real-time) and six not (3 retrospective; 3 real-time). A wide range of assessment characteristics was observed. Several studies showed that seasonality estimates varied when methods differed, or data with dissimilar assessment characteristics were employed. Five factors (comprising study purpose, application time, assessment characteristics, healthcare system and policies, and context) were identified that could support method choice and result interpretation. Conclusion Methods and assessment characteristics used to define RSV seasonality are heterogeneous. Our categorisation of methods and proposed framework of factors may assist in choosing RSV seasonality methods and interpretating results.

Publisher

European Centre for Disease Control and Prevention (ECDC)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3