Testing and tracking in the UK: A dynamic causal modelling study [version 2; peer review: 2 approved, 1 approved with reservations]

By equipping a previously reported dynamic causal modelling of COVID-19 with an isolation state, we were able to model the effects of self-isolation consequent on testing and tracking. Specifically, we included a quarantine or isolation state occupied by people who believe they might be infected but...

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Detalles Bibliográficos

Principais autores:	Thomas Parr, Karl J. Friston, Adeel Razi, Peter Zeidman, Oliver J. Hulme, Jean Daunizeau, Guillaume Flandin, Alexander J. Billig, Rosalyn J. Moran, Vladimir Litvak, Christian Lambert, Cathy J. Price
Formato:	Artigo
Idioma:	Inglês
Publicado:	Wellcome 2021-02-01
Series:	Wellcome Open Research
Assuntos:	coronavirus epidemiology compartmental models dynamic causal modelling variational Bayesian eng
Acceso en liña:	https://wellcomeopenresearch.org/articles/5-144/v2
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