Publications

This page lists publications arising from my research.

Submitted or in preparation

Dylan J. Morris, Lauren Kennedy, Andrew J. Black, 2025. Bayesian inference for disease transmission models informed by viral dynamics. arXiv: arXiv:2604.20069v1.

Robert Moss, Ruarai J. Tobin, Mitchell O’Hara-Wild, Adeshina I. Adekunle, Dennis Liu, Tobin South, Dylan J. Morris, Gerard E. Ryan, Tianxiao Hao, Aarathy Babu, Katharine L. Senior, James G. Wood, Nick Golding, Joshua V. Ross, Rob J. Hyndman, David J. Price, James M. McCaw, Freya M. Shearer. Ensemble Forecasts of COVID-19 Activity to Support Australia’s Pandemic Response: 2020–22. PLoS Computational Biology 22(4): e1014199. doi.org/10.1371/journal.pcbi.1014199
Dylan J. Morris, Lauren Kennedy, Andrew J. Black, 2025. Random time-shift approximation enables hierarchical Bayesian inference of mechanistic within-host viral dynamics models on large datasets. PLoS Computational Biology 20(12): e1013775. 10.1371/journal.pcbi.1013775.
Dylan Morris, John Maclean and Andrew J. Black, 2024. Computation of random time-shift distributions for stochastic population models. Journal of Mathematical Biology, 89, 33, 10.1007/s00285-024-02132-6.
Adrian J. Marcato, Andrew J. Black, Camelia R. Walker, Dylan Morris, Niamh Meagher, David J. Price, Jodie McVernon and the Australian FFX Household Transmission Project Group, 2022. Learnings from the Australian First Few X Household Transmission Project for COVID-19. Lancet Regional Health - Western Pacific, 28, 100573, doi:10.1016/j.lanwpc.2022.100573

Dylan J. Morris. Inference on historical Ebola outbreaks using hierarchical models: a particle filtering approach (2021). MPhil Thesis. hdl.handle.net/2440/132642