software . 2020

Dynamic Causal Modelling of COVID-19

Friston, Karl; Parr, Thomas; Zeidman, Peter; Adeel Razi; Flandin, Guillaume; Daunizeau, Jean; Hulme, Oliver J.; Billig, Alexander; Litvak, Vladimir; Moran, Rosalyn; ...
  • Published: 01 Jan 2020
  • Publisher: figshare
Abstract
<i>See https://www.fil.ion.ucl.ac.uk/spm/covid-19/ for more details</i><b><i>.</i><br></b><b><br></b><b>Dynamic Causal Modelling of COVID-19</b><br><br>This technical report describes a dynamic causal model of the spread of coronavirus through a population. The model is based upon ensemble or population dynamics that generate outcomes, like new cases and deaths over time. The purpose of this model is to quantify the uncertainty that attends predictions of relevant outcomes. By assuming suitable conditional dependencies, one can model the effects of interventions (e.g., social distancing) and differences among populations (e.g., herd immunity) to predict what mig...
Subjects
free text keywords: 10301 Numerical Analysis, FOS: Mathematics, 80603 Conceptual Modelling, FOS: Computer and information sciences, 111706 Epidemiology, FOS: Health sciences, DCM, COVID-19, SPM, Numerical Analysis, Epidemiology, Conceptual Modelling
Communities
COVID-19
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figshare
Software . 2020
Provider: Datacite
figshare
Software . 2020
Provider: Datacite
figshare
Software . 2020
Provider: Datacite
figshare
Software . 2020
Provider: Datacite
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