Imperial College Research Fellow
MRC Centre for Global Infectious Disease Analysis
Imperial College London
university profile: www.imperial.ac.uk/people/a.hogan
I work on mathematical models of infectious diseases, focussed on childhood diseases and the public health impact of new vaccines. The focus of my current research is to develop dynamic models for respiratory synctial virus (RSV) transmission and vaccination, to inform target product profiles for RSV vaccine in low-income settings.
I also work on a range of other projects related to estimating the public health impact of the RTS,S/AS01 malaria vaccine and second-generation malaria vaccines in malaria endemic areas.
Before joining Imperial College London, I completed my PhD (2017) at the Research School of Population Health at the Australian National University. I have a BSc (Honours I, Applied Mathematics, 2009) from the University of Sydney.
Campbell PT, Geard NG, Hogan AB (2020) Modelling the household-level impact of a maternal respiratory syncytial virus (RSV) vaccine in a high-income setting.
Hogan AB, Winskill P, Verity R, Griffin JT & Ghani AC (2018) Modelling population-level impact to inform target product profiles for childhood malaria vaccines. BMC Medicine. 16(109). 1-11. DOI: 10.1186/s12916-018-1095-6.
Hogan AB, Campbell PT, Blyth CC, Lim FJ, Fathima P, Davis S, Moore HC & Glass K (2017) Potential impact of a maternal vaccine for RSV: A mathematical modelling study. Vaccine. 35 6172–6179. DOI: 10.1016/j.vaccine.2017.09.043.
Hogan AB & Myerscough MR (2017) A model for the spread of an invasive weed, Tradescantia fluminensis. The Bulletin of Mathematical Biology. 1-17. DOI: 10.1007/s11538-017-0280-7.
Smith RJ, Hogan AB & Mercer GN (2017) Unexpected infection spikes in a model of respiratory syncytial virus vaccination. Vaccines. 5(12) 1-15. DOI: 10.3390/vaccines5020012.
Hogan AB, Glass K Anderssen RS (2017) Complex demodulation: a novel time series analysis method for seasonal infectious diseases. The ANZIAM Journal. DOI: 10.1017/S1446181116000377.
Hogan AB, Anderssen RS, Davis S, Moore HC, Lim FJ, Fathima P & Glass K (2016) Time series analysis of RSV and bronchiolitis seasonality in temperate and tropical Western Australia. Epidemics. 16 49-55. DOI: 10.1016/j.epidem.2016.05.001.
Hogan AB, Glass K, Moore HC & Anderssen RS (2016) Exploring the dynamics of respiratory syncytial virus (RSV) transmission in children. Theoretical Population Biology. 110 78-85. DOI: 10.1016/j.tpb.2016.04.003.
Hogan AB, Glass K, Moore HC & Anderssen RS (2015) Age structures in mathematical models for infectious diseases, with a case study of respiratory syncytial virus. Proceedings of the Forum of Mathematics for Industry 2014. Springer. 105-116. DOI: 10.1007/978-4-431-55342-7.
Wakayama M, Hogan AB & Anderssen RS (2015) The formation and launch of the Asia Pacific Consortium of Mathematics for Industry (APCMfI). Proceedings of the Forum of Mathematics for Industry 2014. Springer. 143-147. DOI: 10.1007/978-4-431-55342-7.
Moore HC, Jacoby P, Hogan AB, Blyth CC & Mercer GN (2014) Modelling the seasonal epidemics of respiratory syncytial virus in young children. PLOS ONE. 9(6) e100422. DOI: 10.1371/journal.pone.0100422.
Hogan AB, Mercer GN, Glass K & Moore HC (2013) Modelling the seasonality of respiratory syncytial virus in young children. Proceedings of the 20th International Congress on Modelling and Simulation, Adelaide, Australia, pp 338-344. ISBN 978-0-9872143-2-4.
Zapasnik J & Hogan AB (editors) (2014) The ANU Undergraduate Research Journal. Volume 6. ANU Press, Canberra. ISSN (online): 1837-2872.
Code is available via GitHub (https://github.com/abhogan/). All code is open source and licensed under the MIT License.
Hogan AB (2017), Mathematical models for respiratory syncytial virus (RSV) transmission. PhD thesis, Australian National University. DOI: 10.25911/5d70ec93b3047.
Blog post for the Thesis Whisperer, published in May 2017