Interoperability of statistical models in pandemic preparedness: principles and reality
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Peer-reviewed
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Abstract
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.
Description
Keywords
stat.ME, stat.ME, stat.AP, 62P10
Journal Title
Statistical Science
Conference Name
Journal ISSN
0883-4237
2168-8745
2168-8745
Volume Title
Publisher
Institute of Mathematical Statistics
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Sponsorship
Engineering and Physical Sciences Research Council (EP/R018561/1)
MRC (Unknown)
MRC (unknown)
EPSRC (EP/W002965/1)
MRC (Unknown)
MRC (unknown)
EPSRC (EP/W002965/1)