Department of Psychology, University of Duisburg-Essen, Essen, Germany.
Statistical Methods in Social Sciences, TU Dortmund University, Dortmund, Germany.
J Med Internet Res. 2021 Jun 1;23(6):e26385. doi: 10.2196/26385.
In the face of the COVID-19 pandemic, the German government and the 16 German federal states implemented a variety of nonpharmaceutical interventions (NPIs) to decelerate the spread of the SARS-CoV-2 virus and thus prevent a collapse of the health care system. These measures comprised, among others, social distancing, the temporary closure of shops and schools, and a ban of large public gatherings and meetings with people not living in the same household.
It is fair to assume that the issued NPIs have heavily affected social life and psychological functioning. We therefore aimed to examine possible effects of this lockdown in conjunction with daily new infections and the state of the national economy on people's interests, motives, and other psychological states.
We derived 249 keywords from the Google Trends database, tapping into 27 empirically and rationally selected psychological domains. To overcome issues with reliability and specificity of individual indicator variables, broad factors were derived by means of time series factor analysis. All domains were subjected to a change point analysis and time series regression analysis with infection rates, NPIs, and the state of the economy as predictors. All keywords and analyses were preregistered prior to analysis.
With the pandemic arriving in Germany, significant increases in people's search interests were observed in virtually all domains. Although most of the changes were short-lasting, each had a distinguishable onset during the lockdown period. Regression analysis of the Google Trends data confirmed pronounced autoregressive effects for the investigated variables, while forecasting by means of the tested predictors (ie, daily new infections, NPIs, and the state of economy) was moderate at best.
Our findings indicate that people's interests, motives, and psychological states are heavily affected in times of crisis and lockdown. Specifically, disease- and virus-related domains (eg, pandemic disease, symptoms) peaked early, whereas personal health strategies (eg, masks, homeschooling) peaked later during the lockdown. Domains addressing social life and psychosocial functioning showed long-term increases in public interest. Renovation was the only domain to show a decrease in search interest with the onset of the lockdown. As changes in search behavior are consistent over multiple domains, a Google Trends analysis may provide information for policy makers on how to adapt and develop intervention, information, and prevention strategies, especially when NPIs are in effect.
面对 COVID-19 大流行,德国政府和 16 个联邦州实施了各种非药物干预措施(NPIs),以减缓 SARS-CoV-2 病毒的传播速度,从而防止医疗保健系统崩溃。这些措施包括社交距离、商店和学校临时关闭、禁止大型公众集会和与不在同一家庭居住的人会面。
可以合理假设发布的 NPIs 对社会生活和心理功能产生了重大影响。因此,我们旨在研究这种封锁措施与每日新增感染病例以及国家经济状况相结合对人们的兴趣、动机和其他心理状态的可能影响。
我们从 Google Trends 数据库中提取了 249 个关键词,涉及 27 个经过实证和理性选择的心理领域。为了克服单个指标变量的可靠性和特异性问题,通过时间序列因子分析得出了广泛的因素。将所有领域都进行了变化点分析和时间序列回归分析,以感染率、NPIs 和经济状况作为预测指标。所有关键词和分析均在分析前进行了预先注册。
随着大流行在德国的出现,几乎所有领域的人们的搜索兴趣都显著增加。尽管大多数变化都是短暂的,但在封锁期间每个变化都有一个可区分的开始。对 Google Trends 数据的回归分析证实了所研究变量的显著自回归效应,而通过测试预测指标(即每日新增感染病例、NPIs 和经济状况)进行预测的效果则最多只能算是中等。
我们的研究结果表明,在危机和封锁期间,人们的兴趣、动机和心理状态受到了严重影响。具体来说,与疾病和病毒相关的领域(例如,大流行病、症状)早期达到峰值,而个人健康策略(例如,口罩、家庭学校教育)在封锁期间后期达到峰值。涉及社会生活和心理社会功能的领域显示出公众兴趣的长期增加。装修是唯一在封锁开始时搜索兴趣下降的领域。由于搜索行为的变化在多个领域中是一致的,因此 Google Trends 分析可以为决策者提供有关如何调整和制定干预、信息和预防策略的信息,特别是在实施 NPIs 时。