Abstract

In response to the COVID-19 pandemic, countries have sought to control SARS-CoV-2 transmission by restricting population movement through social distancing interventions, thus reducing the number of contacts. Mobility data represent an important proxy measure of social distancing, and here, we characterise the relationship between transmission and mobility for 52 countries around the world. Transmission significantly decreased with the initial reduction in mobility in 73% of the countries analysed, but we found evidence of decoupling of transmission and mobility following the relaxation of strict control measures for 80% of countries. For the majority of countries, mobility explained a substantial proportion of the variation in transmissibility (median adjusted R-squared: 48%, interquartile range - IQR - across countries [27–77%]). Where a change in the relationship occurred, predictive ability decreased after the relaxation; from a median adjusted R-squared of 74% (IQR across countries [49–91%]) pre-relaxation, to a median adjusted R-squared of 30% (IQR across countries [12–48%]) post-relaxation. In countries with a clear relationship between mobility and transmission both before and after strict control measures were relaxed, mobility was associated with lower transmission rates after control measures were relaxed indicating that the beneficial effects of ongoing social distancing behaviours were substantial.

Social distancing policies aiming to reduce COVID-19 transmission have been reflected in reductions in human mobility. Here, the authors show that reduced mobility is correlated with decreased transmission, but that this relationship weakened over time as social distancing measures were relaxed.

Details

Title
Reduction in mobility and COVID-19 transmission
Author
Nouvellet Pierre 1   VIAFID ORCID Logo  ; Bhatia Sangeeta 2   VIAFID ORCID Logo  ; Cori, Anne 2 ; Ainslie, Kylie E, C 2   VIAFID ORCID Logo  ; Baguelin Marc 2 ; Bhatt Samir 2   VIAFID ORCID Logo  ; Adhiratha, Boonyasiri 2   VIAFID ORCID Logo  ; Brazeau, Nicholas F 2 ; Cattarino Lorenzo 2   VIAFID ORCID Logo  ; Cooper, Laura V 2 ; Coupland, Helen 2 ; Cucunuba, Zulma M 2   VIAFID ORCID Logo  ; Cuomo-Dannenburg Gina 2   VIAFID ORCID Logo  ; Dighe, Amy 2 ; Djaafara, Bimandra A 2 ; Dorigatti Ilaria 2   VIAFID ORCID Logo  ; Eales, Oliver D 2 ; van Elsland Sabine L 2 ; Nascimento Fabricia F 2 ; FitzJohn, Richard G 2 ; Gaythorpe Katy A M 2 ; Geidelberg Lily 2 ; Green, William D 2   VIAFID ORCID Logo  ; Hamlet Arran 2   VIAFID ORCID Logo  ; Hauck Katharina 2   VIAFID ORCID Logo  ; Hinsley Wes 2 ; Imai Natsuko 2 ; Benjamin, Jeffrey 2 ; Knock, Edward 2 ; Laydon, Daniel J 2   VIAFID ORCID Logo  ; Lees, John A 2   VIAFID ORCID Logo  ; Mangal Tara 2 ; Mellan Thomas A 2 ; Nedjati-Gilani Gemma 2 ; Parag, Kris V 2   VIAFID ORCID Logo  ; Pons-Salort Margarita 2   VIAFID ORCID Logo  ; Ragonnet-Cronin Manon 2 ; Riley, Steven 2 ; Unwin H Juliette T 2   VIAFID ORCID Logo  ; Verity, Robert 2   VIAFID ORCID Logo  ; Vollmer, Michaela A, C 2 ; Volz, Erik 2   VIAFID ORCID Logo  ; Walker Patrick G T 2 ; Walters, Caroline E 2 ; Wang, Haowei 2 ; Watson, Oliver J 2   VIAFID ORCID Logo  ; Whittaker, Charles 2   VIAFID ORCID Logo  ; Whittles, Lilith K 2 ; Xi Xiaoyue 2 ; Ferguson, Neil M 2   VIAFID ORCID Logo  ; Donnelly, Christl A 3   VIAFID ORCID Logo 

 Imperial College London, St Mary’s Campus, MRC Centre for Global Infectious Disease Analysis, J-IDEA, Department of Infectious Disease Epidemiology, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111); University of Sussex, School of Life Sciences, Brighton, UK (GRID:grid.12082.39) (ISNI:0000 0004 1936 7590) 
 Imperial College London, St Mary’s Campus, MRC Centre for Global Infectious Disease Analysis, J-IDEA, Department of Infectious Disease Epidemiology, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111) 
 Imperial College London, St Mary’s Campus, MRC Centre for Global Infectious Disease Analysis, J-IDEA, Department of Infectious Disease Epidemiology, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111); University of Oxford, Department of Statistics, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2490398055
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.