Dr Roslyn Hickson ~ JCU Vet Staff

A/Prof Roslyn Hickson is a Science Leader for Emerging Infectious Diseases, a joint appointment with CSIRO. Her research is broadly on informing policy and practice through the mathematical modelling of infectious diseases, with a focus on emerging and neglected tropical diseases, through the lenses of biosecurity and One Health.

Roslyn completed her PhD studies through UNSW Canberra in 2010, where her research into the critical times of heat and mass transfer through multiple layers was jointly awarded the Ria de Groot prize for the best female postgraduate student. Roslyn then became a Research Fellow with the National Centre for Epidemiology and Population Health at the Australian National University. In December 2011 she was awarded a four year University of Newcastle Postdoctoral Research Fellowship. Roslyn joined IBM Research Australia in May 2014, and during that time she was named one of twenty finalists for the EmTech Asia Innovators Under 35 list by MIT Technology Review in both 2016 and 2017. Roslyn joined The University of Melbourne as an Australian Centre of Research Excellence in Malaria Elimination Research Fellow in July 2018. She was awarded one of the Victorian Young Tall Poppies in 2018. And a member of the team awarded the 2020 Intelligent Transport Systems (ITS) Award for Excellence in Research and Development.

Roslyn is lucky to be an active member or honorary for a number of fantastic research centres, including:

• Australian Institute of Tropical Health and Medicine (AITHM)
• Centre for Tropical, Environmental and Sustainability Science (TESS)
• WHO Collaborating Centre for Vector Borne and Neglected Tropical Diseases
• School of Mathematics and Statistics at the University of Melbourne

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles

• Roberts M, Hickson R, Mccaw J and Talarmain L (2019) A simple influenza model with complicated dynamics. Journal of Mathematical Biology, 78, pp. 607-624, DOI:10.1007/s00285-018-1285-z.
• Hettiarachchige C, von Cavallar S, Lynar T, Hickson R and Gambhir M (2018) Risk prediction system for dengue transmission based on high resolution weather data. PLoS ONE, 13 (12), Article: e0208203, DOI:10.1371/journal.pone.0208203.
• Yan A, Black A, McCaw J, Rebuli N, Ross J, Swan A and Hickson R (2018) The distribution of the time taken for an epidemic to spread between two communities. Mathematical Biosciences, 303, pp. 139-147, DOI:10.1016/j.mbs.2018.07.004.
• Goudey B, Hickson R, Hettiarachchige C, Pore M, Reeves C, Smith O and Swan A (2017) A framework for optimal health worker allocation in under-resourced regions. IBM Journal of Research and Development, 61 (6), Article: 5, pp. 5:1-5:12, DOI:10.1147/JRD.2017.2716679.
• Moss R, Hickson R, McVernon J, McCaw J, Hort K, Black J, Madden J, Tran N, McBryde E and Geard N (2016) Model-informed risk assessment and decision making for an emerging infectious disease in the Asia-Pacific region. PLoS Neglected Tropical Diseases, 10 (9), Article: e0005018, pp. 1-25, DOI:10.1371/journal.pntd.0005018.
• Ndii M, Allingham D, Hickson R and Glass K (2016) The effect of Wolbachia on dengue outbreaks when dengue is repeatedly introduced. Theoretical Population Biology, 111, pp. 9-15, DOI:10.1016/j.tpb.2016.05.003.
• Ndii M, Allingham D, Hickson R and Glass K (2016) The effect of Wolbachia on dengue dynamics in the presence of two serotypes of dengue: symmetric and asymmetric epidemiological characteristics. Epidemiology and Infection, 144 (13), pp. 2874-2882, DOI:10.1017/S0950268816000753.
• Ndii M, Hickson R, Allingham D and Mercer G (2015) Modelling the transmission dynamics of dengue in the presence of Wolbachia. Mathematical Biosciences, 262, pp. 157-166, DOI:10.1016/j.mbs.2014.12.011.
• Nguyen H, Hickson R, Kompas T, Mercer G and Lokuge K (2015) Strengthening tuberculosis control overseas: who benefits? Value in Health, 18 (2), pp. 180-188, DOI:10.1016/j.jval.2014.11.008.
• Hickson R and Roberts M (2014) How population heterogeneity in susceptibility and infectivity influences epidemic dynamics. Journal of Theoretical Biology, 350, pp. 70-80, DOI:10.1016/j.jtbi.2014.01.014.
• Nguyen H, Kompas T and Hickson R (2014) Aid and the control of tuberculosis in Papua New Guinea: is Australia's assistance cost-effective? Asia & The Pacific Policy Studies, 1 (2), pp. 364-378, DOI:10.1002/app5.37.
• Ndii M, Hickson R and Mercer G (2012) Modelling the introduction of wolbachia into Aedes aegypti mosquitoes to reduce dengue transmission. ANZIAM Journal, 53 (3), pp. 213-227, DOI:10.1017/S1446181112000132.

The map shows research collaborations by institution from the past 7 years.
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