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Prof. Jodie McVernon

Email University of Melbourne LinkedIn

Director of Doherty Epidemiology

Doherty Institute, University of Melbourne

Jodie McVernon is a Monash University Medical Graduate with subspecialty training in Paediatrics, Public Health and Vaccinology. She has extensive expertise in clinical vaccine trials, epidemiologic studies and mathematical modelling of infectious diseases, gained at the University of Oxford, Health Protection Agency London and University of Melbourne.

Jodie is currently Professor and Director of Doherty Epidemiology at the Peter Doherty Institute for Infection and Immunity. Her research group uses a range of biostatistical and epidemiological methods including modelling to synthesise insights gained from basic biology, epidemiological data and sociological research. These outputs advance understanding of the observed epidemiology of infectious diseases and inform predictions of the likely success of interventions to limit transmission and burden in different populations.

For the past 18 years she has been building capacity in infectious diseases modelling in Australia and the Asia Pacific Region to support immunization and pandemic preparedness strategies. She has led nationally distributed networks of modellers informing responses to the 2009 H1N1 influenza pandemic and the current COVID-19 pandemic. She contributes to national and global preparedness and response policy through consultancies, direct advice and membership of groups including the Australian Health Protection Principal Committee and the WHO Strategic and Technical Advisory Group on Infection Hazards of Pandemic and Epidemic potential.

Related Projects

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

Related publications

  • Moss, R., Price, D.J., Golding, N., Dawson, P., McVernon, J., Hyndman, R.J., Shearer, F.M. and McCaw, J.M., 2023. Forecasting COVID-19 activity in Australia to support pandemic response: May to October 2020. Scientific Reports, 13(1), p.8763.
  • 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.
  • Yerramilli, A., Bowen, A.C., Marcato, A.J., McVernon, J., Carapetis, J.R., Campbell, P.T. and Tong, S.Y., 2022. Body distribution of impetigo and association with host and pathogen factors. PeerJ, 10, p.e14154.
  • Goldsmith, J.J., Campbell, P.T., Villanueva-Cabezas, J.P., Chisholm, R.H., McKinnon, M., Gurruwiwi, G.G., Dhurrkay, R.G., Dockery, A.M., Geard, N., Tong, S.Y. and McVernon, J., 2022. Capturing household structure and mobility within and between remote Aboriginal communities in northern Australia using longitudinal data: A pilot study. International Journal of Environmental Research and Public Health, 19(19), p.12002.
  • 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,.
  • Fadilah, I., Djaafara, B.A., Lestari, K.D., Fajariyani, S.B., Sunandar, E., Makamur, B.G., Wopari, B., Mabui, S., Ekawati, L.L., Sagara, R. and Lina, R.N., 2022. Quantifying spatial heterogeneity of malaria in the endemic Papua region of Indonesia: Analysis of epidemiological surveillance data. The Lancet Regional Health-Southeast Asia, 5, 100051.
  • Tellioglu, N., Chisholm R.H., McVernon, J, Geard, N., Campbell, P.T. (2022) The efficacy of sampling strategies for estimating scabies prevalence. PLOS Neglected Tropical Diseases 16(6): e0010456.
  • Shearer, F.M., Walker, J., Tellioglu, N., McCaw, J.M., McVernon, J., Black, A. and Geard, N., 2022. Rapid assessment of the risk of SARS-CoV-2 importation: Case study and lessons learned. Epidemics, 38, p.100549.
  • 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.
  • Baker, C.M., Campbell, P.T., Chades, I., Dean, A.J., Hester, S.M., Holden, M.H., McCaw, J.M., McVernon, J., Moss, R., Shearer, F.M. and Possingham, H.P., 2022. From climate change to pandemics: decision science can help scientists have impact. Frontiers in Ecology and Evolution, 10.
  • Baker, C.M., Chades, I., McVernon, J., Robinson, A.P. and Bondell, H., 2021. Optimal allocation of PCR tests to minimise disease transmission through contact tracing and quarantine. Epidemics, 37, p.100503.
  • 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).
  • Hui, B.B., Brown, D., Chisholm, R.H., Geard, N., McVernon, J. and Regan, D.G., 2021. Modelling testing and response strategies for COVID-19 outbreaks in remote Australian Aboriginal communities. BMC Infectious Diseases, 21, p.e929.
  • 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).
  • Degeling, C., Williams, J., Carter, S.M., Moss, R., Massey, P., Gilbert, G.L., Shih, P., Braunack-Mayer, A., Crooks, K., Brown, D. and McVernon, J., 2021. Priority allocation of pandemic influenza vaccines in Australia–Recommendations of 3 community juries. Vaccine, 39(2), pp.255-26.
  • Moss, R., Wood, J., Brown, D., Shearer, F.M., Black, A.J., Glass, K., Cheng, A.C., McCaw, J.M. and McVernon, J., 2020. Coronavirus disease model to inform transmission-reducing measures and health system preparedness, Australia. Emerging Infectious Diseases, 26(12), p.2844.
  • Chisholm, R.H., Crammond, B., Wu, Y., Bowen, A.C., Campbell, P.T., Tong, S.Y., McVernon, J. and Geard, N., 2020. A model of population dynamics with complex household structure and mobility: implications for transmission and control of communicable diseases. PeerJ, 8, p.e10203.
  • Price, D.J., Shearer, F.M., Meehan, M.T., McBryde, E., Moss, R., Golding, N., Conway, E.J., Dawson, P., Cromer, D., Wood, J., Abbott, S., McVernon, J., and McCaw, J.M., 2020. Early analysis of the Australian COVID-19 epidemic. eLife, 9, p.e58785.
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