1 citations · 1 across the 8 of their papers we have counts for
10 papers
Equation Learning for multiscale models of infectious diseases
James W. G. Doran, Cameron A. Smith, Christian A. Yates +1
Tuberculosis (TB) is an airborne disease caused by the pathogen Mycobacterium tuberculosis. In 2023, according to the World Health Organization, it ''probably'' replaced COVID-19 a…
Multi-stage volume exclusion models for cell proliferation
John Carlo Dimaculangan, Cameron A. Smith, Christian A. Yates
Cell proliferation and cell movement are fundamentally stochastic processes which lead to variability in the growth and spatial structure of cell populations in many biological set…
The Spatial Regime Conversion Method
Charles G. Cameron, Cameron A. Smith, Christian A. Yates
We present the spatial regime conversion method (SRCM), a novel hybrid modelling framework for simulating reaction-diffusion systems that adaptively combines stochastic discrete an…
Efficient coupling of within- and between-host infectious disease dynamics
Cameron A. Smith, Ben Ashby
Mathematical models of infectious disease transmission typically neglect within-host dynamics. Yet within-host dynamics - including pathogen replication, host immune responses, and…
Critical weaknesses in shielding strategies for COVID-19
Cameron A. Smith, Christian A. Yates, Ben Ashby
The COVID-19 pandemic, caused by the coronavirus SARS-CoV-2, has led to a wide range of non-pharmaceutical interventions being implemented around the world to curb transmission. Ho…
Incorporating domain growth into hybrid methods for reaction-diffusion systems
Cameron A. Smith, Christian A. Yates
Reaction--diffusion mechanism are a robust paradigm that can be used to represent many biological and physical phenomena over multiple spatial scales. Applications include intracel…