Phuong Huynh Thi, Bartz Antonia, Jarynowski Andrzej K, Lange Berit, Jarvis Christopher I, Rübsamen Nicole, Mikolajczyk Rafael T, Scholz Stefan, Berger Tom, Heinsohn Torben, Belik Vitaly, Karch André, Jaeger Veronika K
Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
System Modelling Group, Institute of Veterinary Epidemiology and Biostatistics, Freie Universität Berlin, Berlin, Germany.
BMC Infect Dis. 2025 Apr 23;25(1):588. doi: 10.1186/s12879-025-10917-3.
During the SARS-CoV-2 pandemic, Germany employed several nonpharmaceutical interventions (NPIs) to reduce social contacts and decelerate the virus's spread. Associations between demographics and other factors, e.g. perceived pandemic threat level, might help explain variations in social contact behaviours. We aimed to estimate contact numbers during the pandemic in Germany and assess factors associated with changes therein.
Between 04/2020 and 12/2021, we conducted an online contact survey (COVIMOD) with 33 waves in Germany. We calculated the mean and 95% confidence interval of daily reported contacts ("people who you met in person and with whom you exchanged at least a few words, or with whom you had physical contact") using bootstrapping. The effects of different factors on the number of contacts were determined by fitting generalized additive models (GAMs).
The COVIMOD survey recorded 59,585 responses from 7,851 participants across Germany. The overall mean number of daily social contacts during the study period was 3.30 (95%CI: 3.23-3.38), with the number of non-household contacts being twice as high as the number of contacts with household members. The lowest overall number of contacts (2.11, 95%CI: 2.01-2.22) was reported during Germany's strongest contact reduction campaigns (end of 04/2020), when the number of household contacts was three times higher than non-household contacts. The highest number of contacts (6.38, 95%CI: 5.67-7.15) was observed during periods of relaxed measures (June 2020), when household contacts were four times fewer than non-household contacts. The work and school contacts shaped the overall variation of contact patterns in Germany during the pandemic. In participants under 18 years, partially/fully closing schools reduced school contacts by 83% (95%CI: 80-85%) and overall contacts by 39% (95%CI: 36-42%). Higher risk perceptions regarding COVID-19 were associated with 11% (95% CI: 2-17%) more social contacts among all participants and 66% (95%CI: 32-108%) more work contacts in the adult participants.
Our study revealed fluctuations in the number of social contacts during the SARS-CoV-2 pandemic in Germany, with substantial variations influenced by NPIs and individual factors. Understanding these factors affecting social contacts is vital for refining disease transmission models and informing future pandemic response strategies.
在严重急性呼吸综合征冠状病毒2(SARS-CoV-2)大流行期间,德国采取了多项非药物干预措施(NPIs)以减少社交接触并减缓病毒传播。人口统计学特征与其他因素(如感知到的大流行威胁水平)之间的关联,可能有助于解释社交接触行为的差异。我们旨在估计德国大流行期间的接触人数,并评估与之变化相关的因素。
在2020年4月至2021年12月期间,我们在德国进行了一项有33轮的在线接触调查(COVIMOD)。我们使用自助法计算每日报告接触者(“你亲自见面并至少交谈了几句话或有身体接触的人”)的平均值和95%置信区间。通过拟合广义相加模型(GAMs)来确定不同因素对接触人数的影响。
COVIMOD调查记录了来自德国7851名参与者的59585份回复。研究期间每日社交接触的总体平均值为3.30(95%CI:3.23 - 3.38),非家庭接触的数量是与家庭成员接触数量的两倍。在德国最强力的减少接触措施期间(2020年4月底),报告的接触总数最低(2.11,95%CI:2.01 - 2.22),此时家庭接触的数量是非家庭接触数量的三倍。在措施放宽期间(2020年6月)观察到接触数量最高(6.38,95%CI:5.67 - 7.15),此时家庭接触比非家庭接触少四倍。工作和学校接触塑造了德国大流行期间接触模式的总体变化。在18岁以下的参与者中,部分/完全关闭学校使学校接触减少了83%(95%CI:80 - 85%),总体接触减少了39%(95%CI:36 - 42%)。对2019冠状病毒病(COVID - 19)的较高风险认知与所有参与者中多11%(95%CI:2 - 17%)的社交接触以及成年参与者中多66%(95%CI:32 - 108%)的工作接触相关。
我们的研究揭示了德国SARS-CoV-2大流行期间社交接触数量的波动,NPIs和个体因素对其有显著影响。了解这些影响社交接触的因素对于完善疾病传播模型和为未来的大流行应对策略提供信息至关重要。