activity
20152026
most citedReconciling transport models across scales: the role of volume exclusion

11 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.PE2026

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…

q-bio.QM2026

A model of tuberculosis progression using CompuCell3D

James W. G. Doran, Christopher F. Rowlatt, Gibin G. Powathil +2

Tuberculosis (TB) is an airborne disease caused by the bacterium Mycobacterium tuberculosis (M. tb). Prior to the COVID-19 pandemic, TB was the leading cause of death from an infec…

q-bio.PE2026

An agent-based modelling approach to investigate the impact of gender on tuberculosis transmission in Uganda

James W. G. Doran, Dennis Mujuni, Kit Gallagher +2

Tuberculosis (TB) is an airborne disease caused by the pathogen Mycobacterium tuberculosis. In 2023, it returned to being the leading cause of death from an infectious agent global…

q-bio.QM2016

Coupling volume-excluding compartment-based models of diffusion at different scales: Voronoi and pseudo-compartment approaches

Paul R. Taylor, Ruth E. Baker, Matthew J. Simpson +1

Numerous processes across both the physical and biological sciences are driven by diffusion. Partial differential equations (PDEs) are a popular tool for modelling such phenomena d…

q-bio.QM2015★ 11 cited

Reconciling transport models across scales: the role of volume exclusion

Paul R. Taylor, Christian A. Yates, Matthew J. Simpson +1

Diffusive transport is a universal phenomenon, throughout both biological and physical sciences, and models of diffusion are routinely used to interrogate diffusion-driven processe…