16 citations · 54 across the 19 of their papers we have counts for
19 papers
A Bayesian spatio-temporal nearest neighbor Gaussian process model for pooled genetic data
Imke Botha, Tianxiao Hao, Lucinda E. Harrison +3
Large scale genetic datasets often aggregate the total allele counts of distinct genetic markers. Inferring haplotype frequencies (i.e.\ the frequency of multimarker alleles) from…
An agent-based model of outer membrane biogenesis in Gram-negative bacteria
Thomas Williams, James M. Osborne, Kwok Jian Goh +2
The outer membrane is the interface through which Gram-negative bacteria - a broad classification of organisms including \textit{Escherichia coli} and a number of deadly pathogens…
Reliable model selection in the presence of parameter non-identifiability
Yong See Foo, Torkel E. Loman, Alexander P. Browning +3
Mathematical models are invaluable for understanding and predicting how biological systems behave, although their construction requires specifying mechanisms and relationships that…
Balancing training load, rest and musculoskeletal injury risk: a mathematical modelling study in Thoroughbred racehorses
Md Nurul Anwar, Michael Pan, Ashleigh V. Morrice-West +5
Musculoskeletal injuries (MSI) in Thoroughbred racehorses are a leading cause of death and premature retirement in racehorses and are heavily influenced by training practices. Grea…
Multiscale Modelling of Birth-Death Processes
Tom Kimpson, Domenic P. J. Germano, Jennifer A. Flegg +1
Many biological systems exhibit multiscale dynamics, where some species occur in high copy numbers while others remain rare. This heterogeneity necessitates hybrid modelling approa…
Accurate stochastic simulation algorithm for multiscale models of infectious diseases
Yuan Yin, Jennifer A. Flegg, Mark B. Flegg
In the infectious disease literature, significant effort has been devoted to studying dynamics at a single scale. For example, compartmental models describing population-level dyna…
Investigation of P. Vivax Elimination via Mass Drug Administration
Md Nurul Anwar, James M. McCaw, Alexander E. Zarebski +2
Plasmodium vivax is the most geographically widespread malaria parasite due to its ability to remain dormant (as a hypnozoite) in the human liver and subsequently reactivate. Given…
A hybrid framework for compartmental models enabling simulation-based inference
Domenic P. J. Germano, Alexander E. Zarebski, Sophie Hautphenne +3
Multi-scale systems often exhibit a combination of stochastic and deterministic dynamics. In compartmental models, low occupancy compartments tend to exhibit stochastic dynamics wh…
A spatial multiscale mathematical model of Plasmodium vivax transmission
Shoshana Elgart, Mark B. Flegg, Somya Mehra +1
The epidemiological behavior of Plasmodium vivax malaria occurs across spatial scales including within-host, population, and metapopulation levels. On the within-host scale, P. viv…
Mathematical models of Plasmodium vivax transmission: a scoping review
Md Nurul Anwar, Lauren Smith, Angela Devine +8
Plasmodium vivax is one of the most geographically widespread malaria parasites in the world due to its ability to remain dormant in the human liver as hypnozoites and subsequently…
Haplotype frequency inference from pooled genetic data with a latent multinomial model
Yong See Foo, Jennifer A. Flegg
In genetic studies, haplotype data provide more refined information than data about separate genetic markers. However, large-scale studies that genotype hundreds to thousands of in…
Comparison of new computational methods for geostatistical modelling of malaria
Spencer Wong, Jennifer A. Flegg, Nick Golding +1
Geostatistical analysis of health data is increasingly used to model spatial variation in malaria prevalence, burden, and other metrics. Traditional inference methods for geostatis…
Optimal interruption of P. vivax malaria transmission using mass drug administration
Md Nurul Anwar, Roslyn I. Hickson, Somya Mehra +4
\textit{Plasmodium vivax} is the most geographically widespread malaria-causing parasite resulting in significant associated global morbidity and mortality. One of the factors driv…
A hybrid transmission model for Plasmodium vivax accounting for superinfection, immunity and the hypnozoite reservoir
Somya Mehra, Peter G. Taylor, James M. McCaw +1
Malaria is a vector-borne disease that exacts a grave toll in the Global South. The epidemiology of Plasmodium vivax, the most geographically expansive agent of human malaria, is c…
Two-phase model of compressive stress induced on a surrounding hyperelastic medium by an expanding tumour
Gopikrishnan C. Remesan, Jennifer A Flegg, Helen M Byrne
\emph{In vitro} experiments in which tumour cells are seeded in a gelatinous medium, or hydrogel, show how mechanical interactions between tumour cells and the tissue in which they…
Hypnozoite dynamics for Plasmodium vivax malaria: the epidemiological effects of radical cure
Somya Mehra, Eva Stadler, David Khoury +2
Malaria is a mosquito-borne disease with a devastating global impact. Plasmodium vivax is a major cause of human malaria beyond sub-Saharan Africa. Relapsing infections, driven by…
An activation-clearance model for Plasmodium vivax malaria
Somya Mehra, James M. McCaw, Mark B. Flegg +2
Malaria is an infectious disease with an immense global health burden. Plasmodium vivax is the most geographically widespread species of malaria. Relapsing infections, caused by th…
A simple history dependent remeshing technique to increase finite element model stability in elastic surface deformations
Jessica R. Crawshaw, Jennifer A. Flegg, James M. Osborne
In this paper, we present and validate a simple adaptive surface remeshing technique to transfer history dependent variables from an old distorting mesh to a new mesh during finite…
Numerical solution of a two dimensional tumour growth model with moving boundary
Jerome Droniou, Jennifer A. Flegg, Gopikrishnan C. Remesan
We consider a biphasic continuum model for avascular tumour growth in two spatial dimensions, in which a cell phase and a fluid phase follow conservation of mass and momentum. A li…