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Dynamic causal modelling of mitigated epidemiological outcomes

Authors :
Friston, Karl J.
Flandin, Guillaume
Razi, Adeel
Publication Year :
2020

Abstract

This technical report describes the rationale and technical details for the dynamic causal modelling of mitigated epidemiological outcomes based upon a variety of timeseries data. It details the structure of the underlying convolution or generative model (at the time of writing on 6-Nov-20). This report is intended for use as a reference that accompanies the predictions in following dashboard: https://www.fil.ion.ucl.ac.uk/spm/covid-19/dashboard

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2011.12400
Document Type :
Working Paper