19 citations · 34 across the 10 of their papers we have counts for
10 papers
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…
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…
Joint economic and epidemiological modelling of alternative pandemic response strategies
M J Plank, M Sushames, T Fisher-Taylor +4
In an emerging pandemic, policymakers need to make important decisions with limited information, for example choosing between a mitigation, suppression or elimination strategy. The…
Estimating excess mortality during the Covid-19 pandemic in Aotearoa New Zealand: Addendum
Michael J. Plank, Pubudu Senanayake, Richard Lyon
In our previous article, we estimated excess mortality during in Aotearoa New Zealand for 2020 to 2023. Since our work was published, updated population estimates have been release…
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…
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…
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…
Random walk models in the life sciences: including births, deaths and local interactions
Michael J. Plank, Matthew J. Simpson, Ruth E. Baker
Random walks and related spatial stochastic models have been used in a range of application areas including animal and plant ecology, infectious disease epidemiology, developmental…
Quantifying age-specific household contacts in Aotearoa New Zealand for infectious disease modelling
Caleb Sullivan, Pubudu Senanayake, Michael J. Plank
Accounting for population age structure and age-specific contact patterns is crucial for accurate modelling of human infectious disease dynamics and impact. A common approach is to…
Structured methods for parameter inference and uncertainty quantification for mechanistic models in the life sciences
Michael J. Plank, Matthew J. Simpson
Parameter inference and uncertainty quantification are important steps when relating mathematical models to real-world observations, and when estimating uncertainty in model predic…