Dr David Price

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Senior Research Fellow

University of Melbourne

David is a statistician and mathematical modeller with research interests in the development and application of statistical methodologies for the study of infectious diseases, particularly regarding the optimal design of experimental and observational investigations. At the Doherty Institute, he leads a team of biostatisticians providing collaborative statistical expertise across a range of infection and immunity research and is a lead of the Computational Sciences and Genomics cross-cutting discipline. David received his PhD in Statistics from the University of Adelaide in 2015, before joining the Disease Dynamics Unit at the University of Cambridge as a Research Fellow. David joined the University of Melbourne in November 2017 with a joint position at the Doherty Institute for Infection & Immunity and Centre for Epidemiology & Biostatistics, Melbourne School of Population & Global Health.

Related Projects

• Supporting public health preparedness and response for COVID-19 in Papua New Guinea

Related publications

• Golding, N., Price, D.J., Ryan, G., McVernon, J., McCaw, J.M. and Shearer, F.M., 2023. A modelling approach to estimate the transmissibility of SARS-CoV-2 during periods of high, low, and zero case incidence. eLife, 12, p.e78089.
• Tobin, R.J., Wood, J.G., Jayasundara, D., Sara, G., Walker, C.R., Martin, G.E., McCaw, J.M., Shearer, F.M. and Price, D.J., 2023. Real-time analysis of hospital length of stay in a mixed SARS-CoV-2 Omicron and Delta epidemic in New South Wales, Australia. BMC Infectious Diseases, 23(1), p.e28
• Marcato, A.J., Black, A.J., Walker, C.R., Morris, D., Meagher, N., Price, D.J. and McVernon, J., 2022. Learnings from the Australian first few X household transmission project for COVID-19. The Lancet Regional Health–Western Pacific, 28 p.e100573,.
• Zachreson, C., Shearer, F.M., Price, D.J., Lydeamore, M.J., McVernon, J., McCaw, J. and Geard, N., 2022. COVID-19 in low-tolerance border quarantine systems: Impact of the Delta variant of SARS-CoV-2. Science Advances, 8(14), p.eabm3624.
• Doherty Institute, 2021. Doherty Modelling – Final report to National Cabinet, 5 November. Available at https://www.doherty.edu.au/our-work/institute-themes/viral-infectious-diseases/covid-19/covid-19-modelling/modelling (Accessed 24 April 2023).
• Shearer, F.M., Moss, R., Price, D.J., Zarebski, A.E., Ballard, P.G., McVernon, J., Ross, J.V. and McCaw, J.M., 2021. Development of an influenza pandemic decision support tool linking situational analytics to national response policy. Epidemics, 36, p.100478.
• Doherty Institute, 2021. Doherty Modelling – Final report to National Cabinet, 5 November. Available at https://www.doherty.edu.au/our-work/institute-themes/viral-infectious-diseases/covid-19/covid-19-modelling/modelling (Accessed 24 April 2023).
• Price, D.J., Shearer, F.M., Meehan, M.T., McBryde, E., Moss, R., Golding, N., Conway, E.J., Dawson, P., Cromer, D., Wood, J. and Abbott, S., 2020. Early analysis of the Australian COVID-19 epidemic. eLife, 9, p.e58785.