Dynamic causal modelling of mitigated epidemiological outcomes
Populations and Evolution
2020-11-26 v1 Physics and Society
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
Cite
@article{arxiv.2011.12400,
title = {Dynamic causal modelling of mitigated epidemiological outcomes},
author = {Karl J. Friston and Guillaume Flandin and Adeel Razi},
journal= {arXiv preprint arXiv:2011.12400},
year = {2020}
}