Dr Rob Moss

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Senior Research Fellow

The University of Melbourne

Rob Moss is a Senior Research Fellow in the Infectious Disease Dynamics Unit at the Melbourne School of Population and Global Health. His research focuses on predicting and mitigating the burden of infectious disease epidemics, through the use of mathematical/computational modelling and Bayesian inference. His primary focus is on seasonal and pandemic influenza, and (more recently) COVID-19. This includes:

• Using scenario modelling to inform recommendations for specific interventions, such as targeted antiviral distribution; and
• Synthesising models and surveillance data to generate near-real-time epidemic forecasts.

He is a proponent of Reproducible Research, Open Access, and Free and Open Source Software, and have produced several open source software packages through his research activities.

Related Projects

Related publications

• 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.
• 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.
• Fielding, J., Sullivan, S.G., Beard, F., Macartney, K., Williams, J., Dawson, A., Gilbert, G.L., Massey, P., Crooks, K., Moss, R. and McCaw, J.M., 2021. Constructing an ethical framework for priority allocation of pandemic vaccines. Vaccine, 39(5), pp.797-804.
• 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.
• Alahmadi, A., Belet, S., Black, A., Cromer, D., Flegg, J.A., House, T., Jayasundara, P., Keith, J.M., McCaw, J.M., Moss, R. and Ross, J.V., 2020. Influencing public health policy with data-informed mathematical models of infectious diseases: Recent developments and new challenges. Epidemics, 32, p.100393.
• 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.
• Biggerstaff, M., Dahlgren, F.S., Fitzner, J., George, D., Hammond, A., Hall, I., Haw, D., Imai, N., Johansson, M.A., Kramer, S. and McCaw, J.M., 2020. Coordinating the real‐time use of global influenza activity data for better public health planning. Influenza and Other Respiratory Viruses, 14(2), pp.105-110.