5 citations · 10 across the 6 of their papers we have counts for
7 papers
Dynamic causal modelling of mitigated epidemiological outcomes
Karl J. Friston, Guillaume Flandin, Adeel Razi
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.…
Effective immunity and second waves: a dynamic causal modelling study
Karl J. Friston, Thomas Parr, Peter Zeidman +11
This technical report addresses a pressing issue in the trajectory of the coronavirus outbreak; namely, the rate at which effective immunity is lost following the first wave of the…
Tracking and tracing in the UK: a dynamic causal modelling study
Karl J. Friston, Thomas Parr, Peter Zeidman +9
By equipping a previously reported dynamic causal model of COVID-19 with an isolation state, we modelled the effects of self-isolation consequent on tracking and tracing. Specifica…
Second waves, social distancing, and the spread of COVID-19 across America
Karl J. Friston, Thomas Parr, Peter Zeidman +9
We recently described a dynamic causal model of a COVID-19 outbreak within a single region. Here, we combine several of these (epidemic) models to create a (pandemic) model of vira…
Dynamic causal modelling of COVID-19
Karl J. Friston, Thomas Parr, Peter Zeidman +9
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 outc…
Boutiques: a flexible framework for automated application integration in computing platforms
Tristan Glatard, Gregory Kiar, Tristan Aumentado-Armstrong +17
We present Boutiques, a system to automatically publish, integrate and execute applications across computational platforms. Boutiques applications are installed through software co…