I am an applied mathematician with an interest in infectious disease dynamics. I am particularly interested in how spatial structure, population dynamics (i.e. movements of individuals), stochasticity, heterogeneities in population structure affect the spread and persistence of both human and animal diseases. Understanding the role of these phenomena is critical in developing effective control strategies. Large-scale computer simulations play an important role in my research and I am the author of the Broadwick framework for epidemiological modelling. My current research is in game theoretic techniques to model dynamic interacting systems with complicated payoffs and strategy profiles that might exists, for example, in diverse farming systems or epidemiological control. Modelling the spread of novel infectious diseases in large synthetic populations Incorporating genomic data from pathogens into disease models. Modelling treatment resistance in pathogens
He/him/his
United Kingdom
Choi JS, Pan D, O'Hare A, Moore CE, Fouad F, Pareek M, . (2026). Perspective: large language models and antimicrobial resistance among migrants: an equity imperative. NPJ digital medicine
Munaf S, Swingler K, Brülisauer F, O'Hare A, Gunn G, Reeves A. (2024). Social media network analysis of Smallholder livestock farming communities in the United Kingdom. Heliyon, 10(1)
Trombetta E, Jakubiak S, Kutkova S, Lipschutz D, O'Hare A, Enright JA. (2023). A modeling study of the impact of treatment policies on the evolution of resistance in sea lice on salmon farms. PloS one, 18(11)
Sarah Good, Anthony O'Hare. (2023). Investigating Causal links from Observed Features in the first COVID-19 Waves in California
Mead J, O'Hare A, McMenemy P. (2023). Expected goals in football: Improving model performance and demonstrating value. PloS one, 18(4)
Munaf S, Swingler K, Brülisauer F, O'Hare A, Gunn G, Reeves A. (2023). Spatio-temporal evaluation of social media as a tool for livestock disease surveillance. One health (Amsterdam, Netherlands), (17)
Smith S, O'Hare A. (2022). Comparing traditional news and social media with stock price movements; which comes first, the news or the price change?. Journal of big data, 9(1)
O'Hare A, Balaz D, Wright DM, McCormick C, McDowell S, Trewby H, Skuce RA, Kao RR. (2021). A new phylodynamic model of Mycobacterium bovis transmission in a multi-host system uncovers the role of the unobserved reservoir. PLoS computational biology, 17(6)
Mothersill C, Abend M, Bréchignac F, Copplestone D, Geras'kin S, Goodman J, Horemans N, Jeggo P, McBride W, Mousseau TA, O'Hare A, Papineni RVL, Powathil G, Schofield PN, Seymour C, Sutcliffe J, Austin B. (2018). The tubercular badger and the uncertain curve:- The need for a multiple stressor approach in environmental radiation protection. Environmental research, (168)
O'Hare A, Lycett SJ, Doherty T, Salvador LC, Kao RR. (2016). Broadwick: a framework for computational epidemiology. BMC bioinformatics, (17)
O'Hare A. (2015). Inference in high-dimensional parameter space. Journal of computational biology : a journal of computational molecular cell biology, 22(11)
O'Hare A, Orton RJ, Bessell PR, Kao RR. (2014). Estimating epidemiological parameters for bovine tuberculosis in British cattle using a Bayesian partial-likelihood approach. Proceedings. Biological sciences, 281(1783)
Biek R, O'Hare A, Wright D, Mallon T, McCormick C, Orton RJ, McDowell S, Trewby H, Skuce RA, Kao RR. (2012). Whole genome sequencing reveals local transmission patterns of Mycobacterium bovis in sympatric cattle and badger populations. PLoS pathogens, 8(11)
Orton RJ, Bessell PR, Birch CP, O'Hare A, Kao RR. (2012). Risk of Foot-and-Mouth Disease spread due to sole occupancy authorities and linked cattle holdings. PloS one, 7(4)
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