德国COVID-19大流行期间自我报告的COVID-19疫苗接种和感染状况的接触行为动态:对两项大型人群研究的分析

IF 7 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Lena Böff, Antonia Bartz, Manuela Harries, André Karch, Annette Aigner, Veronika K Jaeger, Berit Lange
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引用次数: 0

摘要

背景:接触行为对于评估和预测SARS-CoV-2等呼吸道病原体的传播至关重要。接触行为传统上是在横断面调查中评估的,而不是作为同时测量感染频率和疫苗接种覆盖率的纵向人群研究的一部分。在COVID-19大流行期间,有几项研究评估了较长时间的接触行为,并将其与免疫数据联系起来。这可以为未来的动态建模提供信息。在这里,我们评估了2021年在德国进行的两项基于人群的大型研究中,接触行为如何根据SARS-CoV-2感染或疫苗接种状况而变化。方法:我们评估了MuSPAD (n = 12,641)(一项基于人群的队列研究)和COVIMOD (n = 31,260)(一项纵向接触者调查)参与者的直接接触,分为家庭和非家庭接触者。我们计算了报告的接触人数的平均值,并拟合负二项混合效应模型来估计免疫状态(由接种疫苗或既往感染定义)对接触人数的影响;使用Logistic混合效应模型来检验接触行为与感染引起的血清阳性之间的关系。结果:在大流行过程中,MuSPAD的接触次数从每24小时7.6到10.8次不等,COVIMOD的接触次数从每24小时2.1到3.1次不等。报告既往感染和接种疫苗的参与者的非家庭接触者数量较高(接触比(CR) MuSPAD: 1.22 (95%CI 0.94-1.60);与未接种疫苗和未感染的个体相比,COVIMOD: 1.35 (CI 1.12-1.62)。在完全接种疫苗的参与者中,非家庭接触号码也更高(MUSPAD: CR 1.15 (CI 1.05-1.26);与未接种疫苗的个体相比,COVIMOD: 1.43 (CI 1.32-1.56)。与没有家庭接触者相比,有三个或更多家庭接触者(比值比(or) 1.54 (CI 1.12-2.13))和11个或更多非家庭接触者(or 1.29 (CI 1.01-1.65))因感染而导致血清阳性的几率更高。结论:基于感染和/或疫苗接种状况的不同接触行为表明,针对免疫状况的公共卫生政策可能会影响感染者的接触行为。对人群中自我报告的接触、感染和疫苗接种情况以及实验室确认的血清状态进行综合评估,可支持建立感染传播模型。这可能有助于确定遏制政策的目标,并评估公共卫生措施的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamics of contact behaviour by self-reported COVID-19 vaccination and infection status during the COVID-19 pandemic in Germany: an analysis of two large population-based studies.

Background: Contact behaviour is crucial to assess and predict transmission of respiratory pathogens like SARS-CoV-2. Contact behaviour has traditionally been assessed in cross-sectional surveys and not as part of longitudinal population-based studies which simultaneously measure infection frequency and vaccination coverage. During the COVID-19 pandemic, several studies assessed contact behaviour over longer periods and correlated this to data on immunity. This can inform future dynamic modelling. Here, we assess how contact behaviour varied based on SARS-CoV-2 infection or vaccination status in two large population-based studies in Germany during 2021.

Methods: We assessed direct encounters, separated into household and non-household contacts, in participants of MuSPAD (n = 12,641), a population-based cohort study, and COVIMOD (n = 31,260), a longitudinal contact survey. We calculated mean numbers of reported contacts and fitted negative binomial mixed-effects models to estimate the impact of immunity status, defined by vaccination or previous infection, on contact numbers; logistic mixed-effects models were used to examine the relationship between contact behaviour and seropositivity due to infection.

Results: Contact numbers varied over the course of the pandemic from 7.6 to 10.8 per 24 h in MuSPAD and 2.1 to 3.1 per 24 h in COVIMOD. The number of non-household contacts was higher in participants who reported previous infections and vaccinations (contact ratio (CR) MuSPAD: 1.22 (95%CI 0.94-1.60); COVIMOD: 1.35 (CI 1.12-1.62)) compared to unvaccinated and uninfected individuals. Non-household contact numbers were also higher in fully vaccinated participants (MUSPAD: CR 1.15 (CI 1.05-1.26); COVIMOD: 1.43 (CI 1.32-1.56)) compared to unvaccinated individuals. Compared to individuals without household contacts, the odds for seropositivity due to infection were higher among MuSPAD individuals with three or more household contacts (odds ratio (OR) 1.54 (CI 1.12-2.13)) and eleven or more non-household contacts (OR 1.29 (CI 1.01-1.65)).

Conclusions: Different contact behaviours based on infection and/or vaccination status suggest that public health policies targeting immunity status may influence the contact behaviour of those affected. A combined assessment of self-reported contacts, infections, and vaccinations as well as laboratory-confirmed serostatus in the population can support modelling of the spread of infections. This could help target containment policies and evaluate the impact of public health measures.

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来源期刊
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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