Nature Communications (Apr 2021)
Genetic evidence for the association between COVID-19 epidemic severity and timing of non-pharmaceutical interventions
- Manon Ragonnet-Cronin,
- Olivia Boyd,
- Lily Geidelberg,
- David Jorgensen,
- Fabricia F. Nascimento,
- Igor Siveroni,
- Robert A. Johnson,
- Marc Baguelin,
- Zulma M. Cucunubá,
- Elita Jauneikaite,
- Swapnil Mishra,
- Oliver J. Watson,
- Neil Ferguson,
- Anne Cori,
- Christl A. Donnelly,
- Erik Volz
Affiliations
- Manon Ragonnet-Cronin
- MRC Centre for Global Infectious Disease Analysis and the Department of Infectious Disease Epidemiology, Imperial College London
- Olivia Boyd
- MRC Centre for Global Infectious Disease Analysis and the Department of Infectious Disease Epidemiology, Imperial College London
- Lily Geidelberg
- MRC Centre for Global Infectious Disease Analysis and the Department of Infectious Disease Epidemiology, Imperial College London
- David Jorgensen
- MRC Centre for Global Infectious Disease Analysis and the Department of Infectious Disease Epidemiology, Imperial College London
- Fabricia F. Nascimento
- MRC Centre for Global Infectious Disease Analysis and the Department of Infectious Disease Epidemiology, Imperial College London
- Igor Siveroni
- MRC Centre for Global Infectious Disease Analysis and the Department of Infectious Disease Epidemiology, Imperial College London
- Robert A. Johnson
- MRC Centre for Global Infectious Disease Analysis and the Department of Infectious Disease Epidemiology, Imperial College London
- Marc Baguelin
- MRC Centre for Global Infectious Disease Analysis and the Department of Infectious Disease Epidemiology, Imperial College London
- Zulma M. Cucunubá
- MRC Centre for Global Infectious Disease Analysis and the Department of Infectious Disease Epidemiology, Imperial College London
- Elita Jauneikaite
- MRC Centre for Global Infectious Disease Analysis and the Department of Infectious Disease Epidemiology, Imperial College London
- Swapnil Mishra
- MRC Centre for Global Infectious Disease Analysis and the Department of Infectious Disease Epidemiology, Imperial College London
- Oliver J. Watson
- MRC Centre for Global Infectious Disease Analysis and the Department of Infectious Disease Epidemiology, Imperial College London
- Neil Ferguson
- MRC Centre for Global Infectious Disease Analysis and the Department of Infectious Disease Epidemiology, Imperial College London
- Anne Cori
- MRC Centre for Global Infectious Disease Analysis and the Department of Infectious Disease Epidemiology, Imperial College London
- Christl A. Donnelly
- MRC Centre for Global Infectious Disease Analysis and the Department of Infectious Disease Epidemiology, Imperial College London
- Erik Volz
- MRC Centre for Global Infectious Disease Analysis and the Department of Infectious Disease Epidemiology, Imperial College London
- DOI
- https://doi.org/10.1038/s41467-021-22366-y
- Journal volume & issue
-
Vol. 12,
no. 1
pp. 1 – 7
Abstract
Estimating the effects of non-pharmaceutical interventions for COVID-19 is challenging, partly due to variations in testing. Here, the authors use viral sequence data as an alternative means of inferring intervention effects, and show that delays in implementation resulted in more severe epidemics.
