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Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England.
- Source :
-
Science translational medicine [Sci Transl Med] 2021 Jul 14; Vol. 13 (602). Date of Electronic Publication: 2021 Jun 22. - Publication Year :
- 2021
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Abstract
- We fitted a model of SARS-CoV-2 transmission in care homes and the community to regional surveillance data for England. Compared with other approaches, our model provides a synthesis of multiple surveillance data streams into a single coherent modeling framework, allowing transmission and severity to be disentangled from features of the surveillance system. Of the control measures implemented, only national lockdown brought the reproduction number ( R <subscript>t</subscript> <superscript>eff</superscript> ) below 1 consistently; if introduced 1 week earlier, it could have reduced deaths in the first wave from an estimated 48,600 to 25,600 [95% credible interval (CrI): 15,900 to 38,400]. The infection fatality ratio decreased from 1.00% (95% CrI: 0.85 to 1.21%) to 0.79% (95% CrI: 0.63 to 0.99%), suggesting improved clinical care. The infection fatality ratio was higher in the elderly residing in care homes (23.3%, 95% CrI: 14.7 to 35.2%) than those residing in the community (7.9%, 95% CrI: 5.9 to 10.3%). On 2 December 2020, England was still far from herd immunity, with regional cumulative infection incidence between 7.6% (95% CrI: 5.4 to 10.2%) and 22.3% (95% CrI: 19.4 to 25.4%) of the population. Therefore, any vaccination campaign will need to achieve high coverage and a high degree of protection in vaccinated individuals to allow nonpharmaceutical interventions to be lifted without a resurgence of transmission.<br /> (Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).)
Details
- Language :
- English
- ISSN :
- 1946-6242
- Volume :
- 13
- Issue :
- 602
- Database :
- MEDLINE
- Journal :
- Science translational medicine
- Publication Type :
- Academic Journal
- Accession number :
- 34158411
- Full Text :
- https://doi.org/10.1126/scitranslmed.abg4262