Jonathan Dushoff, PhD

Research Associate

Research Associate

Jonathan is a Professor of Biology at McMaster University in Hamilton, Canada, with cross appointments in the Department of Mathematics and Statistics, and the Institute for Infectious Disease Research. He has taught short courses annually in South Africa since 2007, starting with predecessors of the MMED clinic, and has been involved from the beginning in building and maintaining the ICI3D program.
Jonathan has a broad interest in understanding the dynamics of infectious diseases by combining theoretical, statistical and computational approaches. Current interests include HIV control and the HIV treatment cascade; control of canine rabies; and disease forecasting.

Recent publications

Hazelbag, C.M., J. Dushoff, E.M. Dominic, Z.E. Mthombothi, & W. Delva (2020) Calibration of individual-based models to epidemiological data: A systematic review. PLOS Computational Biology 16(5):e1007893 doi:10.1371/journal.pcbi.1007893

Beauclair, R., J.Dushoff, & W.Delva. (2018) Partner age differences and associated sexual risk behaviours among adolescent girls and young women in a cash transfer programme for schooling in Malawi. BMC Public Health 18(403);12. doi: 10.1186/s12889-018-5327-7

Sempa, J.B., J. Dushoff, M.J. Daniels, B. Castelnuovo, A.N. Kiragga, M. Nieuwoudt & S.E. Bellan (2016) Reevaluating Cumulative HIV-1 Viral Load as a Prognostic Predictor: Predicting Opportunistic Infection Incidence and Mortality in a Ugandan Cohort. American journal of Epidemiology 184(1):67-77. doi: 10.1093/aje/kwv303

Champredon, D., S.E. Bellan, W.Delva, S.Hunt, S. Chyun-Fung, M.Smieja, & J.Dushoff. (2015) The effect of sexually transmitted co-infections on HIV viral load amongst individuals on antiretroviral therapy: a systematic review and meta-analysis BMC Infectious Diseases 15:249. doi: 10.1186/s12879-015-0961-5.

Bellan S. E, Fiorella K. J, Melesse D. Y, Getz W. M, Williams B. G, Dushoff J. (2013) Extra-couple HIV transmission in sub-Saharan Africa: a mathematical modelling study of survey data. Lancet 381(9877). doi: 10.1016/S0140-6736(12)61960-6.

Bellan S. E, Pulliam J. R, Scott J. C, Dushoff J, MMED Organizing Committee. (2012) How to make epidemiological training infectious. Plos Biology 10(4). doi: 10.1371/journal.pbio.1001295.

DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis