13 citations · 26 across the 6 of their papers we have counts for
6 papers
A Framework for Incorporating Behavioural Change into Individual-Level Spatial Epidemic Models
Madeline A. Ward, Rob Deardon, Lorna E. Deeth
During epidemics, people will often modify their behaviour patterns over time in response to changes in their perceived risk of spreading or contracting the disease. This can subst…
Bayesian Modeling of Dynamic Behavioral Change During an Epidemic
Caitlin Ward, Rob Deardon, Alexandra M. Schmidt
For many infectious disease outbreaks, the at-risk population changes their behavior in response to the outbreak severity, causing the transmission dynamics to change in real-time.…
Continuous Time Individual-Level Models of Infectious Disease: a Package EpiILMCT
Waleed Almutiry, Vineetha Warriyar K, Rob Deardon
This paper describes the R package EpiILMCT, which allows users to study the spread of infectious disease using continuous time individual level models (ILMs). The package provides…
Individual-Level Modelling of Infectious Disease Data: EpiILM
Vineetha Warriyar K. V., Waleed Almutiry, Rob Deardon
In this article, we introduce the R package EpiILM, which provides tools for simulation from, and inference for, discrete-time individual-level models of infectious disease transmi…
Pathogen.jl: Infectious Disease Transmission Network Modelling with Julia
Justin Angevaare, Zeny Feng, Rob Deardon
We introduce Pathogen.jl for simulation and inference of transmission network individual level models (TN-ILMs) of infectious disease spread in continuous time. TN-ILMs can be used…
Geographically-dependent individual-level models for infectious diseases transmission
Md Mahsin, Rob Deardon, Patrick Brown
Infectious disease models can be of great use for understanding the underlying mechanisms that influence the spread of diseases and predicting future disease progression. Modeling…