Fritz Cornelius, Kauermann Göran
Department of Statistics Ludwig-Maximilians-Universität München Munich Germany.
J R Stat Soc Ser A Stat Soc. 2022 Jan;185(1):400-424. doi: 10.1111/rssa.12753. Epub 2021 Nov 16.
Since the primary mode of respiratory virus transmission is person-to-person interaction, we are required to reconsider physical interaction patterns to mitigate the number of people infected with COVID-19. While research has shown that non-pharmaceutical interventions (NPI) had an evident impact on national mobility patterns, we investigate the relative regional mobility behaviour to assess the effect of human movement on the spread of COVID-19. In particular, we explore the impact of human mobility and social connectivity derived from Facebook activities on the weekly rate of new infections in Germany between 3 March and 22 June 2020. Our results confirm that reduced social activity lowers the infection rate, accounting for regional and temporal patterns. The extent of social distancing, quantified by the percentage of people staying put within a federal administrative district, has an overall negative effect on the incidence of infections. Additionally, our results show spatial infection patterns based on geographical as well as social distances.
由于呼吸道病毒的主要传播方式是人际互动,我们需要重新考虑身体互动模式,以减少感染新冠病毒的人数。虽然研究表明非药物干预措施(NPI)对全国流动模式有显著影响,但我们调查了相对区域流动行为,以评估人员流动对新冠病毒传播的影响。特别是,我们探讨了2020年3月3日至6月22日期间,源自脸书活动的人员流动和社交连接对德国每周新增感染率的影响。我们的结果证实,社会活动减少会降低感染率,同时考虑到区域和时间模式。以留在联邦行政区内的人口百分比量化的社会距离程度,对感染发生率总体上有负面影响。此外,我们的结果显示了基于地理距离和社会距离的空间感染模式。