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Professor Joshua Ross
Professor, Research Fellow
The University of Adelaide
I am an ARC Future Fellow and Associate Professor in Applied Mathematics within the Operations Research Group of the School of Mathematical Sciences at The University of Adelaide. I lead the "Development of innovative methods" theme in the NHMRC Centre of Research Excellence for Policy Relevant Infectious Disease Simulation and Mathematical Modelling (PRISM2), and am Director of Research for the School of Mathematical Sciences.
Research Interests:
Applied mathematics
Applied probability
Bayesian computational algorithms
Bayesian design
Bayesian inference
Markov chain
Markov chain Monte Carlo simulation algorithms
Markov decision process
Optimisation
Stochastic modelling
Qualifications:
BA, BSc (Hons), GCEd (HE), PhD
Prizes, awards and special recognition
2016
J.H. Michell Medal was awarded to Joshua Ross. Awarded from the ANZIAM.
Moran Medal was awarded to Joshua Ross. Awarded from the Australian Academy of Science.
Publications
Journal Articles
Cope, R. C., Ross J.V., Wittmann T. A., Watts M. J., & Cassey P.
(2019). Predicting the Risk of Biological Invasions Using Environmental Similarity and Transport Network Connectedness.
Risk Analysis. 39(1), 35-53. doi: 10.1111/risa.12870
Price, D.J.., Bean N. G., Ross J.V., & Tuke J.
(2018). Designing group dose-response studies in the presence of transmission.
Mathematical Biosciences. 304, 62–78. doi: 10.1016/j.mbs.2018.07.007
Rebuli, N. P., Bean N. G., & Ross J.V.
(2018). Estimating the basic reproductive number during the early stages of an emerging epidemic.
Theoretical Population Biology. 119, 26-36. doi: 10.1016/j.tpb.2017.10.004
Cope, R. C., Ross J.V., Chilver M., Stocks N. P., Mitchell L., & Lloyd-Smith J.
(2018). Characterising seasonal influenza epidemiology using primary care surveillance data.
PLOS Computational Biology. 14(8), e1006377. doi: 10.1371/journal.pcbi.1006377
Price, D. J., Bean N. G., Ross J.V., & Tuke J.
(2018). Designing group dose-response studies in the presence of transmission.
Mathematical biosciences. 304, 62–78.
Price, D. J., Bean N. G., Ross J.V., & Tuke J.
(2018). An induced natural selection heuristic for finding optimal Bayesian experimental designs.
Computational Statistics & Data Analysis. 126, 112–124. doi: 10.1016/j.csda.2018.04.011
Yan, A. W. C., Black A. J., McCaw J. M., Rebuli N. P., Ross J.V., Swan A. J., et al.
(2018). The distribution of the time taken for an epidemic to spread between two communities.
Mathematical Biosciences. 303, 139 - 147. doi: 10.1016/j.mbs.2018.07.004
Price, D.J.., Bean N. G., Ross J.V., & Tuke J.
(2018). An induced natural selection heuristic for finding optimal Bayesian experimental designs.
Computational Statistics and Data Analysis. 126, 112–124. doi: 10.1016/j.csda.2018.04.011
Rebuli, N. P., Bean N. G., & Ross J.V.
(2017). Hybrid Markov chain models of S–I–R disease dynamics.
Journal of Mathematical Biology. doi: 10.1007/s00285-016-1085-2
Brock, A., Gibbs C., Ross J.V., & Esterman A.
(2017). The Impact of Antimalarial Use on the Emergence and Transmission of Plasmodium falciparum Resistance: A Scoping Review of Mathematical Models.
Tropical Medicine and Infectious Disease. 2(4), 54. doi: 10.3390/tropicalmed2040054
Rebuli, N. P., Ross J.V., & Bean N. G.
(2017). Estimating the basic reproductive number during the early stages of an emerging epidemic.
Theor Popul Biol.. doi: 10.1016/j.tpb.2017.10.004
Rebuli, N. P., Bean N. G., & Ross J.V.
(2017). Hybrid Markov chain models of S–I–R disease dynamics.
Journal of Mathematical Biology. 75(3), 521 - 541. doi: 10.1007/s00285-016-1085-2
Black, A. J., Geard N., McCaw J. M., McVernon J., & Ross J.V.
(2017). Characterising pandemic severity and transmissibility from data collected during first few hundred studies.
Epidemics. 19, 61 - 73. doi: 10.1016/j.epidem.2017.01.004
Prowse, T. A. A., Cassey P., Ross J.V., Pfitzner C., Wittmann T. A., & Thomas P.
(2017). Dodging silver bullets: good CRISPR gene-drive design is critical for eradicating exotic vertebrates.
Proceedings of the Royal Society B: Biological Sciences. 284(1860), 20170799. doi: 10.1098/rspb.2017.0799
Ballard, P. G., Bean N. G., & Ross J.V.
(2017). Intervention to maximise the probability of epidemic fade-out.
Mathematical Biosciences. 293, 1 - 10. doi: 10.1016/j.mbs.2017.08.003
Price, D. J., Bean N. G., Ross J.V., & Tuke J.
(2017). An Induced Natural Selection Heuristic for Evaluating Optimal Bayesian Experimental Designs.
arXiv preprint arXiv:1703.05511.
García-Díaz, P., Ross J.V., Woolnough A. P., Cassey P., & Bellard C.
(2017). Managing the risk of wildlife disease introduction: pathway-level biosecurity for preventing the introduction of alien ranaviruses.
Journal of Applied Ecology. 54(1), 234 - 241. doi: 10.1111/1365-2664.12749
García-Díaz, P., Ross J.V., Woolnough A. P., & Cassey P.
(2017). The illegal wildlife trade is a likely source of alien species.
Conservation Letters. doi: 10.1111/conl.12301
García-Díaz, P., Ross J.V., Woolnough A. P., & Cassey P.
(2017). Managing the risk of wildlife disease introduction: Pathway-level biosecurity for preventing the introduction of alien ranaviruses.
Journal of Applied Ecology. 54(1), 234-241. doi: 10.1111/1365-2664.12749
Walker, J. N., Ross J.V., & Black A. J.
(2017). Inference of epidemiological parameters from household stratified data.
PLOS ONE. 12(10), e0185910. doi: 10.1371/journal.pone.0185910
Brock, A. R., Ross J.V., Greenhalgh S., Durham D. P., Galvani A., Parikh S., et al.
(2017). Modelling the impact of antimalarial quality on the transmission of sulfadoxine-pyrimethamine resistance in Plasmodium falciparum.
Infectious Disease Modelling. 2(2), 161 - 187. doi: 10.1016/j.idm.2017.04.001
Lydeamore, M., Bean N. G., Black A. J., & Ross J.V.
(2016). Choice of antiviral allocation scheme for pandemic influenza depends on strain transmissibility, delivery delay and stockpile size.
Bulletin of Mathematical Biology. 78(2), 293-321. doi: 10.1007/s11538-016-0144-6
Cope, R. C., Ross J.V., Wittmann T. A., Prowse T. A. A., & Cassey P.
(2016). Integrative analysis of the physical transport network into Australia.
PLOS ONE. 11(2), doi: 10.1371/journal.pone.0148831
Ballard, P. G., Bean N. G., & Ross J.V.
(2016). The probability of epidemic fade-out is non-monotonic in transmission rate for the Markovian SIR model with demography.
Journal of Theoretical Biology. 393, 170-178. doi: 10.1016/j.jtbi.2016.01.012
Johnston, S. T., Ross J.V., Binder B. J., McElwain D.L. Sean, Haridas P., & Simpson M. J.
(2016). Quantifying the effect of experimental design choices for in vitro scratch assays.
Journal of Theoretical Biology. 400, 19-31. doi: 10.1016/j.jtbi.2016.04.012
Bean, N. G., Eshragh A., & Ross J.V.
(2016). Fisher Information for a partially observable simple birth process.
Communications in Statistics - Theory and Methods. 45(24), 7161-7183. doi: 10.1080/03610926.2014.978024
Heinrich, S., Wittmann T. A., Prowse T. A. A., Ross J.V., Delean S., Shepherd C. R., et al.
(2016). Where did all the pangolins go? International CITES trade in pangolin species.
Global Ecology and Conservation. 8, 241-253. doi: 10.1016/j.gecco.2016.09.007
Price, D. J., Bean N. G., Ross J.V., & Tuke J.
(2016). On the efficient determination of optimal Bayesian experimental designs using ABC: A case study in optimal observation of epidemics.
Journal of Statistical Planning and Inference. 172, 1-15. doi: 10.1016/j.jspi.2015.12.008
Price, D. J., Bean N. G., Ross J.V., & Tuke J.
(2016). On the efficient determination of optimal Bayesian experimental designs using ABC: A case study in optimal observation of epidemics.
Journal of Statistical Planning and Inference. 172, 1–15.
Mitchell, L., & Ross J.V.
(2016). A data-driven model for influenza transmission incorporating media effects.
Royal Society Open Science. 3(10), doi: 10.1098/rsos.160481
Ross, J.V., & Black A. J.
(2015). Contact tracing and antiviral prophylaxis in the early stages of a pandemic: the probability of a major outbreak.
Mathematical Medicine and Biology. 32(3), 331-343. doi: 10.1093/imammb/dqu014
Robinson, S. J., Souter N. J., Bean N. G., Ross J.V., Thompson R. M., & Bjornsson K. T.
(2015). Statistical description of wetland hydrological connectivity to the River Murray in South Australia under both natural and regulated conditions.
Journal of Hydrology. 531, 929-939. doi: 10.1016/j.jhydrol.2015.10.006
Keeling, M. J., & Ross J.V.
(2015). Optimal prophylactic vaccination in segregated populations: When can we improve on the equalising strategy?.
Epidemics. 11, 7-13. doi: 10.1016/j.epidem.2015.01.002
García-Díaz, P., Ross J.V., Ayres C., & Cassey P.
(2015). Understanding the biological invasion risk posed by the global wildlife trade: propagule pressure drives the introduction and establishment of Nearctic turtles.
Global Change Biology. 21(3), 1078-1091. doi: 10.1111/gcb.12790
Black, A. J., & Ross J.V.
(2015). Computation of epidemic final size distributions.
Journal of Theoretical Biology. 367, 159-165. doi: 10.1016/j.jtbi.2014.11.029
Binder, B. J., Landman K. A., Newgreen D. F., & Ross J.V.
(2015). Incomplete penetrance: The role of stochasticity in developmental cell colonization.
Journal of Theoretical Biology. 380, 309-314. doi: 10.1016/j.jtbi.2015.05.028
Bean, N. G., Elliott R., Eshragh A., & Ross J.V.
(2015). On binomial observations of continuous-time Markovian population models.
Journal of Applied Probability. 52(02), 457-472. doi: 10.1017/S0021900200012572
Davies, K.J., Green J.E.F., Bean N. G., Binder B.J., & Ross J.V.
(2014). On the derivation of approximations to cellular automata models and the assumption of independence.
Mathematical Biosciences. 253, 63-71. doi: 10.1016/j.mbs.2014.04.004
