I work on mathematical models to guide and evaluate malaria control and elimination programmes in malaria endemic areas, mainly in the Sub-Saharan Africa setting. In particular, I focus on using dynamic models to estimate the population-level impact of the RTS,S/AS01 childhood malaria vaccine and second-generation vaccines. The aim of this work is to inform vaccine implementation strategies and target product profiles. This project is funded by PATH.
Before joining the Department of Infectious Disease Epidemiology, I completed my PhD program at the Research School of Population Health at the Australian National University. My PhD research involved developing and analysing mathematical models for respiratory syncytial virus (RSV) in young children, to better understand RSV transmission dynamics and seasonality, and inform rollout strategies for a maternal RSV vaccine that is currently undergoing phase three trials.
A full list of publications can be found at www.alexandrahogan.com.
et al., 2018, Modelling population-level impact to inform target product profiles for childhood malaria vaccines, Bmc Medicine, Vol:16, ISSN:1741-7015
Smith RJ, Hogan AB, Mercer GN, 2017, Unexpected Infection Spikes in a Model of Respiratory Syncytial Virus Vaccination, Vaccines, Vol:5, ISSN:2076-393X
et al., 2017, Potential impact of a maternal vaccine for RSV: A mathematical modelling study., Vaccine, Vol:35, Pages:6172-6179
et al., 2016, Time series analysis of RSV and bronchiolitis seasonality in temperate and tropical Western Australia, Epidemics, Vol:16, ISSN:1755-4365, Pages:49-55
et al., Modelling the seasonality of respiratory syncytial virus in young children, 20th International Congress on Modelling and Simulation (MODSIM), ISSN:1932-6203