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Linking excess mortality to mobility data during the first wave of COVID-19 in England and Wales.
Basellini, Ugofilippo; Alburez-Gutierrez, Diego; Del Fava, Emanuele; Perrotta, Daniela; Bonetti, Marco; Camarda, Carlo G; Zagheni, Emilio.
  • Basellini U; Max Planck Institute for Demographic Research (MPIDR), Rostock, Germany.
  • Alburez-Gutierrez D; Institut National D'études Démographiques (INED), Aubervilliers, France.
  • Del Fava E; Max Planck Institute for Demographic Research (MPIDR), Rostock, Germany.
  • Perrotta D; Max Planck Institute for Demographic Research (MPIDR), Rostock, Germany.
  • Bonetti M; Max Planck Institute for Demographic Research (MPIDR), Rostock, Germany.
  • Camarda CG; Carlo F. Dondena Centre & Covid Crisis Lab, Bocconi University, Milan, Italy.
  • Zagheni E; Institut National D'études Démographiques (INED), Aubervilliers, France.
SSM Popul Health ; 14: 100799, 2021 Jun.
Article in English | MEDLINE | ID: covidwho-1199086
ABSTRACT
Non-pharmaceutical interventions have been implemented worldwide to curb the spread of COVID-19. However, the effectiveness of such governmental measures in reducing the mortality burden remains a key question of scientific interest and public debate. In this study, we leverage digital mobility data to assess the effects of reduced human mobility on excess mortality, focusing on regional data in England and Wales between February and August 2020. We estimate a robust association between mobility reductions and lower excess mortality, after adjusting for time trends and regional differences in a mixed-effects regression framework and considering a five-week lag between the two measures. We predict that, in the absence of mobility reductions, the number of excess deaths could have more than doubled in England and Wales during this period, especially in the London area. The study is one of the first attempts to quantify the effects of mobility reductions on excess mortality during the COVID-19 pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: SSM Popul Health Year: 2021 Document Type: Article Affiliation country: J.ssmph.2021.100799

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: SSM Popul Health Year: 2021 Document Type: Article Affiliation country: J.ssmph.2021.100799