Interoperability of Statistical Models in Pandemic Preparedness: Principles and Reality

We present "interoperability" as a guiding framework for statistical modelling to assist policy makers asking multiple questions using diverse datasets in the face of an evolving pandemic response. Interoperability provides an important set of principles for future pandemic preparedness, through the joint design and deployment of adaptable systems of statistical models for disease surveillance using probabilistic reasoning. We illustrate this through case studies for inferring spatial-temporal coronavirus disease 2019 (COVID-19) prevalence and reproduction numbers in England

Interoperability of statistical models in pandemic preparedness: principles and reality

We present "interoperability" as a guiding framework for statistical modelling to assist policy makers asking multiple questions using diverse datasets in the face of an evolving pandemic response. Interoperability provides an important set of principles for future pandemic preparedness, through the joint design and deployment of adaptable systems of statistical models for disease surveillance using probabilistic reasoning. We illustrate this through case studies for inferring spatial-temporal coronavirus disease 2019 (COVID-19) prevalence and reproduction numbers in England

TuringLang/MCMCChains.jl: v6.0.4

<h2>MCMCChains v6.0.4</h2> <p><a href="https://github.com/TuringLang/MCMCChains.jl/compare/v6.0.3...v6.0.4">Diff since v6.0.3</a></p> <p><strong>Merged pull requests:</strong></p> <ul> <li>CompatHelper: bump compat for Documenter to 1 for package docs, (keep existing compat) (#432) (@github-actions[bot])</li> <li>CompatHelper: bump compat for Documenter to 1 for package test, (keep existing compat) (#433) (@github-actions[bot])</li> <li>CompatHelper: bump compat for MLJBase to 1 for package docs, (keep existing compat) (#434) (@github-actions[bot])</li> <li>CompatHelper: bump compat for MLJBase to 1 for package test, (keep existing compat) (#435) (@github-actions[bot])</li> <li>Update chains.jl (#437) (@sunxd3)</li> <li>CompatHelper: bump compat for AbstractMCMC to 5, (keep existing compat) (#438) (@github-actions[bot])</li> <li>CompatHelper: bump compat for AbstractMCMC to 5 for package test, (keep existing compat) (#439) (@github-actions[bot])</li> </ul> <p><strong>Closed issues:</strong></p> <ul> <li>write(file, chn) fails due to missing method (#425)</li> <li>Array(chn) drops third dimension for nchain==1 (#429)</li> </ul&gt

JuliaGaussianProcesses/KernelFunctions.jl: v0.10.58

<h2>KernelFunctions v0.10.58</h2> <p><a href="https://github.com/JuliaGaussianProcesses/KernelFunctions.jl/compare/v0.10.57...v0.10.58">Diff since v0.10.57</a></p> <p><strong>Merged pull requests:</strong></p> <ul> <li>Fix Matern AD failures (#528) (@simsurace)</li> <li>Stop using deprecated signatures from Distances.jl (#529) (@simsurace)</li> </ul&gt