4 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…
How complex behavioural contagion can prevent infectious diseases from becoming endemic
Michael J. Plank, Matt Ryan, Lloyd Chapman +4
Infectious disease transmission in human populations has a complex two-way interaction with changes in host behaviour. It is increasingly recognised that incorporating adaptive beh…
Non-centred Bayesian inference for discrete-valued state-transition models: the Rippler algorithm
James Neill, Lloyd A. C. Chapman, Chris Jewell
Stochastic state-transition models of infectious disease transmission can be used to deduce relevant drivers of transmission when fitted to data using statistically principled meth…
Non-centering for discrete-valued state transition models: an application to ESBL-producing E. coli transmission in Malawi
James Neill, Rebecca Lester, Winnie Bakali +4
Infectious disease transmission is often modelled by discrete-valued stochastic state-transition processes. Due to a lack of complete data, Bayesian inference for these models ofte…