Bönisch Sebastian, Wegscheider Karl, Krause Linda, Sehner Susanne, Wiegel Sarah, Zapf Antonia, Moser Silke, Becher Heiko
GIM Gesellschaft für Innovative Marktforschung mbH, Heidelberg, Germany.
Institute of Medical Biometry and Epidemiology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
Front Public Health. 2020 Oct 8;8:568287. doi: 10.3389/fpubh.2020.568287. eCollection 2020.
In an effort to contain the spread of COVID-19, Germany has gradually implemented mobility restrictions culminating in a partial lockdown and contact restrictions on 22 March. The easing of the restrictions began 1 month later, on 20 April. Analysis of the consequences of these measures for mobility and infection incidence is of public health interest. A dynamic cohort of about 2,000 individuals in Germany aged 16-89 years provided individual information on demographic variables, and their continuous geolocation via a smartphone app. Using interrupted time series analysis, we investigated mobility by age, sex, and previous mobility habits from 13 January until 17 May 2020, measured as median daily distance traveled before and after restrictions were introduced. Furthermore, we have investigated the association of mobility with the number of new cases and the reproduction number. Median daily distance traveled decreased substantially in total and homogeneously across all subgroups considered. The decrease was strongest in the last week of March followed by a slight increase. Relative reduction of mobility developed parallel with number of new cases and the daily estimated reproduction number in the weeks after contact restrictions were implemented. The increase in mobility from mid-April onwards, however, did not result in increased case numbers but in further decrease. Other behavioral changes, e.g., wearing masks, individual distancing, or general awareness of the COVID-19 hazards may have contributed to the observed further reduction in case numbers and constant reproduction numbers below one until mid-July.
为遏制新冠病毒肺炎(COVID-19)的传播,德国逐步实施出行限制措施,最终在3月22日实施了部分封锁和接触限制。限制措施的放宽于1个月后的4月20日开始。分析这些措施对出行和感染发生率的影响具有公共卫生意义。德国一个由约2000名年龄在16 - 89岁之间的个体组成的动态队列,通过一款智能手机应用程序提供了有关人口统计学变量的个人信息及其连续地理位置信息。我们采用中断时间序列分析方法,研究了2020年1月13日至5月17日期间按年龄、性别和先前出行习惯划分的出行情况,以引入限制措施前后的日均出行距离中位数来衡量。此外,我们还研究了出行与新增病例数及再生数之间的关联。在所有考虑的亚组中,日均出行距离中位数总体上大幅且均匀地下降。3月的最后一周下降最为明显,随后略有上升。在实施接触限制措施后的几周内,表示出行相对减少情况的指标与新增病例数及每日估计再生数呈平行变化。然而,4月中旬起出行的增加并未导致病例数增加,反而使病例数进一步下降。其他行为变化,例如戴口罩、保持社交距离或对COVID - 19危害普遍提高的认识,可能促使观察到的病例数进一步减少,且直到7月中旬再生数持续低于1。