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Mapping social distancing measures to the reproduction number for COVID-19 | |
Ellen Brooks-Pollock Jonathan Read Angela McLean Matt Keeling Leon Danon | |
Acceso Abierto | |
Atribución-NoComercial-SinDerivadas | |
10.1098/rstb.2020.0276 | |
https://www.medrxiv.org/content/10.1101/2020.07.25.20156471v2 | |
Background In the absence of a vaccine, SARS-CoV-2 transmission has been controlled by preventing person-to-person interactions via social distancing measures. In order to re-open parts of society, policy-makers need to consider how combinations of measures will affect transmission and understand the trade-offs between them. Methods We use age-specific social contact data, together with epidemiological data, to quantify the components of the COVID-19 reproduction number. We estimate the impact of social distancing policies on the reproduction number by turning contacts on and off based on context and age. We focus on the impact of re-opening schools against a background of wider social distancing measures. | |
medRxiv and bioRxiv | |
06-04-2021 | |
Preimpreso | |
www.medrxiv.org | |
Inglés | |
Epidemia COVID-19 | |
Público en general | |
VIRUS RESPIRATORIOS | |
Versión publicada | |
publishedVersion - Versión publicada | |
Aparece en las colecciones: | Artículos científicos |
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