5 papers
Constructing Contact and Connectivity Matrices for Infectious Disease Modelling
Xiahui Li, Dongni Zhang, Neha Bansal +12
Contact (or mixing, or more generally connectivity) matrices are a fundamental component of modelling and inference for infectious disease epidemiology. Their structure and paramet…
A Behaviour and Disease Model of Testing and Isolation
Matthew Ryan, Roslyn I. Hickson, Edward M. Hill +4
There has been interest in the interactions between infectious disease dynamics and behaviour for most of the history of mathematical epidemiology. This has included consideration…
Epidemic models with digital and manual contact tracing
Tom Britton, Dongni Zhang
We analyze a Markovian SIR epidemic model where individuals either recover naturally or are diagnosed, leading to isolation and potential contact tracing. Our focus is on digital c…
Sideward contact tracing in an epidemic model with mixing groups
Dongni Zhang, Martina Favero
We consider a stochastic epidemic model with sideward contact tracing. We assume that infection is driven by interactions within mixing events (gatherings of two or more individual…
An SEIR network epidemic model with manual and digital contact tracing allowing delays
Dongni Zhang, Tom Britton
We consider an SEIR epidemic model on a network also allowing random contacts, where recovered individuals could either recover naturally or be diagnosed. Upon diagnosis, manual co…