collaborators

5 papers

math.OC2026

Regional factors determine the feasibility of an elimination strategy

George Adu-Boahen, Troy Day, Michael J Plank +1

We provide an explicit mathematical characterization of regional characteristics and the resulting epidemiology to evaluate whether elimination or suppression is feasible using tar…

nlin.CG2026

When do trajectories matter? Identifiability analysis for stochastic transport phenomena

Matthew J Simpson, Michael J Plank

Stochastic models of diffusion are routinely used to study dispersal of populations, including populations of animals, plants, seeds and cells. Advances in imaging and field measur…

q-bio.PE2026

Continuum models describing probabilistic motion of tagged agents in exclusion processes

Michael J. Plank, Matthew J. Simpson

Lattice-based random walk models are widely used to study populations of migrating cells with motility bias and proliferation. Crowding is typically represented by volume exclusion…

stat.ME2025

A nonparametric approach to practical identifiability of nonlinear mixed effects models

Tyler Cassidy, Stuart T. Johnston, Michael Plank +4

Mathematical modelling is a widely used approach to understand and interpret clinical trial data. This modelling typically involves fitting mechanistic mathematical models to data…

physics.soc-ph2025

Ethical considerations in infectious disease modelling for public health policy: the case of school closures

Diego S. Silva, Sara Y. Del Valle, Michael J. Plank

Mathematical models of infectious diseases are frequently used as a tool to support public health policy and decisions around implementation of interventions such as school closure…