Research outputs
2025
A mathematical model of vaccine hesitancy: Analysing the impact of political trends and the interaction across age and education groups in the USA
2024
Deterministic epidemic models overestimate the basic reproduction number of observed outbreaks.
Ali, W., Overton, C. E., Wilkinson, R. R., & Sharkey, K. J. (2024). Deterministic epidemic models overestimate the basic reproduction number of observed outbreaks.. Infectious Disease Modelling, 9(3), 680-688. doi:10.1016/j.idm.2024.02.007
2023
Eco-evolutionary dynamics in finite network-structured populations with migration.
Pattni, K., Ali, W., Broom, M., & Sharkey, K. J. (2023). Eco-evolutionary dynamics in finite network-structured populations with migration.. Journal of theoretical biology, 111587. doi:10.1016/j.jtbi.2023.111587
2022
Aortic stenosis post-COVID-19: a mathematical model on waiting lists and mortality
Stickels, C. P., Nadarajah, R., Gale, C. P., Jiang, H., Sharkey, K. J., Gibbison, B., . . . Erhun, F. (2022). Aortic stenosis post-COVID-19: a mathematical model on waiting lists and mortality. BMJ OPEN, 12(6). doi:10.1136/bmjopen-2021-059309
Effectiveness of the BNT162b2 (Pfizer-BioNTech) and the ChAdOx1 nCoV-19 (Oxford-AstraZeneca) vaccines for reducing susceptibility to infection with the Delta variant (B.1.617.2) of SARS-CoV-2
Pattni, K., Hungerford, D., Adams, S., Buchan, I., Cheyne, C. P., García-Fiñana, M., . . . Sharkey, K. J. (2022). Effectiveness of the BNT162b2 (Pfizer-BioNTech) and the ChAdOx1 nCoV-19 (Oxford-AstraZeneca) vaccines for reducing susceptibility to infection with the Delta variant (B.1.617.2) of SARS-CoV-2. BMC Infectious Diseases, 22(1). doi:10.1186/s12879-022-07239-z
2021
Approximating Quasi-Stationary Behaviour in Network-Based SIS Dynamics
Overton, C. E., Wilkinson, R. R., Loyinmi, A., Miller, J. C., & Sharkey, K. J. (2022). Approximating Quasi-Stationary Behaviour in Network-Based SIS Dynamics. BULLETIN OF MATHEMATICAL BIOLOGY, 84(1). doi:10.1007/s11538-021-00964-7
Divide-and-conquer: machine-learning integrates mammalian and viral traits with network features to predict virus-mammal associations
Wardeh, M., Blagrove, M. S. C., Sharkey, K. J., & Baylis, M. (2021). Divide-and-conquer: machine-learning integrates mammalian and viral traits with network features to predict virus-mammal associations. Nature Communications, 12(1). doi:10.1038/s41467-021-24085-w
Evolutionary graph theory derived from eco-evolutionary dynamics
Pattni, K., Overton, C. E., & Sharkey, K. J. (2021). Evolutionary graph theory derived from eco-evolutionary dynamics. JOURNAL OF THEORETICAL BIOLOGY, 519. doi:10.1016/j.jtbi.2021.110648
Impact of climatic, demographic and disease control factors on the transmission dynamics of COVID-19 in large cities worldwide.
Metelmann, S., Pattni, K., Brierley, L., Cavalerie, L., Caminade, C., Blagrove, M. S. C., . . . Baylis, M. (2021). Impact of climatic, demographic and disease control factors on the transmission dynamics of COVID-19 in large cities worldwide.. One Health, 100221. doi:10.1016/j.onehlt.2021.100221
Evolutionary bet-hedging in structured populations
Overton, C. E., & Sharkey, K. J. (2021). Evolutionary bet-hedging in structured populations. JOURNAL OF MATHEMATICAL BIOLOGY, 82(5). doi:10.1007/s00285-021-01597-z
2020
Impact of climatic, demographic and disease control factors on the transmission dynamics of COVID-19 in large cities worldwide
Metelmann, S., Pattni, K., Brierley, L., Cavalerie, L., Caminade, C., Blagrove, M., . . . Baylis, M. (2020). Impact of climatic, demographic and disease control factors on the transmission dynamics of COVID-19 in large cities worldwide. doi:10.1101/2020.07.17.20155226
Integration of shared-pathogen networks and machine learning reveals the key aspects of zoonoses and predicts mammalian reservoirs.
Wardeh, M., Sharkey, K. J., & Baylis, M. (2020). Integration of shared-pathogen networks and machine learning reveals the key aspects of zoonoses and predicts mammalian reservoirs.. Proceedings. Biological sciences, 287(1920). doi:10.1098/rspb.2019.2882
2019
The contact structure of Great Britain's salmon and trout aquaculture industry
Jones, A. E., Munro, L. A., Greed, D. M., Morgan, K. L., Murray, A. G., Norman, R., . . . Sharkey, K. J. (2019). The contact structure of Great Britain's salmon and trout aquaculture industry. EPIDEMICS, 28. doi:10.1016/j.epidem.2019.05.001
Methods for approximating stochastic evolutionary dynamics on graphs
Overton, C. E., Broom, M., Hadjichrysanthou, C., & Sharkey, K. J. (2019). Methods for approximating stochastic evolutionary dynamics on graphs. JOURNAL OF THEORETICAL BIOLOGY, 468, 45-59. doi:10.1016/j.jtbi.2019.02.009
Localization of eigenvector centrality in networks with a cut vertex
Sharkey, K. J. (2019). Localization of eigenvector centrality in networks with a cut vertex. Physical Review E, 99(1). doi:10.1103/PhysRevE.99.012315
2018
A Combined In Vitro/In Silico Approach to Identifying Off-Target Receptor Toxicity
Leedale, J., Sharkey, K., Colley, H., Norton, A., Peeney, D., Mason, C., . . . Webb, S. (2018). A Combined In Vitro/In Silico Approach to Identifying Off-Target Receptor Toxicity. iScience, 4, 84-96. doi:10.1016/j.isci.2018.05.012
Impact of the infectious period on epidemics
Wilkinson, R., & sharkey, K. J. (2018). Impact of the infectious period on epidemics. Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), 97(5). doi:10.1103/PhysRevE.97.052403
2017
A control analysis perspective on Katz centrality
Sharkey, K. J. (2017). A control analysis perspective on Katz centrality. SCIENTIFIC REPORTS, 7. doi:10.1038/s41598-017-15426-1
2016
The deterministic Kermack‒McKendrick model bounds the general stochastic epidemic
Wilkinson, R. R., Ball, F. G., & Sharkey, K. J. (2016). The deterministic Kermack‒McKendrick model bounds the general stochastic epidemic. Journal of Applied Probability, 53(4), 1031-1040. doi:10.1017/jpr.2016.62
The Differential Warming Response of Britain's Rivers (1982-2011)
Jonkers, A. R. T., & Sharkey, K. J. (2016). The Differential Warming Response of Britain's Rivers (1982-2011). PLOS ONE, 11(11). doi:10.1371/journal.pone.0166247
Discrete-time moment closure models for epidemic spreading in populations of interacting individuals
Frasca, M., & Sharkey, K. J. (2016). Discrete-time moment closure models for epidemic spreading in populations of interacting individuals. JOURNAL OF THEORETICAL BIOLOGY, 399, 13-21. doi:10.1016/j.jtbi.2016.03.024
The relationships between message passing, pairwise, Kermack-McKendrick and stochastic SIR epidemic models
Wilkinson, R. R., Ball, F. G., & Sharkey, K. J. (2017). The relationships between message passing, pairwise, Kermack-McKendrick and stochastic SIR epidemic models. Journal of Mathematical Biology, 75(6-7), 1563-1590. doi:10.1007/s00285-017-1123-8
2015
Message passing and moment closure for susceptible-infected-recovered epidemics on finite networks (vol 89, 022808, 2014)
Ball, F. G., Wilkinson, R. R., & Sharkey, K. J. (2015). Message passing and moment closure for susceptible-infected-recovered epidemics on finite networks (vol 89, 022808, 2014). PHYSICAL REVIEW E, 92(3). doi:10.1103/PhysRevE.92.039904
Complete hierarchies of SIR models on arbitrary networks with exact and approximate moment closure
Sharkey, K. J., & Wilkinson, R. R. (2015). Complete hierarchies of SIR models on arbitrary networks with exact and approximate moment closure. MATHEMATICAL BIOSCIENCES, 264, 74-85. doi:10.1016/j.mbs.2015.03.008
Epidemic control analysis: Designing targeted intervention strategies against epidemics propagated on contact networks
Hadjichrysanthou, C., & Sharkey, K. J. (2015). Epidemic control analysis: Designing targeted intervention strategies against epidemics propagated on contact networks. JOURNAL OF THEORETICAL BIOLOGY, 365, 84-95. doi:10.1016/j.jtbi.2014.10.006
2014
Tight Control of Hypoxia-inducible Factor-α Transient Dynamics Is Essential for Cell Survival in Hypoxia
Bagnall, J., Leedale, J., Taylor, S. E., Spiller, D. G., White, M. R. H., Sharkey, K. J., . . . See, V. (2014). Tight Control of Hypoxia-inducible Factor-α Transient Dynamics Is Essential for Cell Survival in Hypoxia. JOURNAL OF BIOLOGICAL CHEMISTRY, 289(9), 5549-5564. doi:10.1074/jbc.M113.500405
2013
A novel untargeted metabolomics correlation-based network analysis incorporating human metabolic reconstructions
Kotze, H. L., Armitage, E. G., Sharkey, K. J., Allwood, J. W., Dunn, W. B., Williams, K. J., & Goodacre, R. (2013). A novel untargeted metabolomics correlation-based network analysis incorporating human metabolic reconstructions. BMC SYSTEMS BIOLOGY, 7. doi:10.1186/1752-0509-7-107
Message passing and moment closure for susceptible-infected-recovered epidemics on finite networks
Wilkinson, R., & Sharkey, K. (2014). Message passing and moment closure for susceptible-infected-recovered epidemics on finite networks. Physical Review E, 89(2). doi:10.1103/PhysRevE.89.022808
An Exact Relationship Between Invasion Probability and Endemic Prevalence for Markovian SIS Dynamics on Networks
Wilkinson, R. R., & Sharkey, K. J. (2013). An Exact Relationship Between Invasion Probability and Endemic Prevalence for Markovian SIS Dynamics on Networks. PLOS ONE, 8(7). doi:10.1371/journal.pone.0069028
2012
Exact Equations for SIR Epidemics on Tree Graphs
Sharkey, K. J., Kiss, I. Z., Wilkinson, R. R., & Simon, P. L. (2015). Exact Equations for SIR Epidemics on Tree Graphs. BULLETIN OF MATHEMATICAL BIOLOGY, 77(4), 614-645. doi:10.1007/s11538-013-9923-5
2011
Deterministic epidemic models on contact networks: Correlations and unbiological terms
Sharkey, K. J. (2011). Deterministic epidemic models on contact networks: Correlations and unbiological terms. THEORETICAL POPULATION BIOLOGY, 79(4), 115-129. doi:10.1016/j.tpb.2011.01.004
2010
Epidemics and control strategies for diseases of farmed salmonids: A parameter study
Jonkers, A. R. T., Sharkey, K. J., Thrush, M. A., Turnbull, J. F., & Morgan, K. L. (2010). Epidemics and control strategies for diseases of farmed salmonids: A parameter study. EPIDEMICS, 2(4), 195-206. doi:10.1016/j.epidem.2010.08.001
Epidemics and control strategies for diseases of farmed salmonids: A parameter study
Jonkers, A. R. T., Sharkey, K. J., Thrush, M. A., Turnbull, J. F., & Morgan, K. L. (2010). Epidemics and control strategies for diseases of farmed salmonids: A parameter study. Epidemics, 2(4), 195-206. doi:10.1016/j.epidem.2010.08.001
Preventable H5N1 avian influenza epidemics in the British poultry industry network exhibit characteristic scales
Jonkers, A. R. T., Sharkey, K. J., & Christley, R. M. (2010). Preventable H5N1 avian influenza epidemics in the British poultry industry network exhibit characteristic scales. JOURNAL OF THE ROYAL SOCIETY INTERFACE, 7(45), 695-701. doi:10.1098/rsif.2009.0304
2009
SulfoSYS (<i>Sulfolobus</i> Systems Biology): towards a silicon cell model for the central carbohydrate metabolism of the archaeon <i>Sulfolobus solfataricus</i> under temperature variation
Albers, S. -V., Birkeland, N. -K., Driessen, A. J. M., Gertig, S., Haferkamp, P., Klenk, H. -P., . . . Zaparty, M. (2009). SulfoSYS (<i>Sulfolobus</i> Systems Biology): towards a silicon cell model for the central carbohydrate metabolism of the archaeon <i>Sulfolobus solfataricus</i> under temperature variation. BIOCHEMICAL SOCIETY TRANSACTIONS, 37, 58-64. doi:10.1042/BST0370058
2008
Deterministic epidemiological models at the individual level
Sharkey, K. J. (2008). Deterministic epidemiological models at the individual level. JOURNAL OF MATHEMATICAL BIOLOGY, 57(3), 311-331. doi:10.1007/s00285-008-0161-7
Epidemiological consequences of an incursion of highly pathogenic H5N1 avian influenza into the British poultry flock
Sharkey, K. J., Bowers, R. G., Morgan, K. L., Robinson, S. E., & Christley, R. M. (2008). Epidemiological consequences of an incursion of highly pathogenic H5N1 avian influenza into the British poultry flock. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 275(1630), 19-28. doi:10.1098/rspb.2007.1100
2006
Pair-level approximations to the spatio-temporal dynamics of epidemics on asymmetric contact networks
Sharkey, K. J., Fernandez, C., Morgan, K. L., Peeler, E., Thrush, M., Turnbull, J. F., & Bowers, R. G. (2006). Pair-level approximations to the spatio-temporal dynamics of epidemics on asymmetric contact networks. JOURNAL OF MATHEMATICAL BIOLOGY, 53(1), 61-85. doi:10.1007/s00285-006-0377-3
2004
Tracking seismic waves
Parsons, R. J. (2004). Tracking seismic waves. In Target Tracking 2004: Algorithms and Applications Vol. 2004 (pp. 77-82). IEE. doi:10.1049/ic:20040055
2001
Is the up-quark massless?
Irving, A. C., McNeile, C., Michael, C., Sharkey, K. J., & Wittig, H. (2001). Is the up-quark massless?. Physics Letters B, 518(3-4), 243-251. doi:10.1016/s0370-2693(01)01062-0
Is the up-quark massless?
Irving, A. C., McNeile, C., Michael, C., Sharkey, K. J., & Wittig, H. (2001). Is the up-quark massless?. PHYSICS LETTERS B, 518(3-4), 243-251. doi:10.1016/S0370-2693(01)01062-0
Effects of nonperturbatively improved dynamical fermions in QCD at fixed lattice spacing -: art. no. 054502
Allton, C. R., Booth, S. P., Bowler, K. C., Garden, J., Hart, A., Hepburn, D., . . . Wittig, H. (2002). Effects of nonperturbatively improved dynamical fermions in QCD at fixed lattice spacing -: art. no. 054502. PHYSICAL REVIEW D, 65(5). doi:10.1103/PhysRevD.65.054502
Flavor singlet mesons in QCD
McNeile, C., Michael, C., & Sharkey, K. J. (2002). Flavor singlet mesons in QCD. PHYSICAL REVIEW D, 65(1). doi:10.1103/PhysRevD.65.014508
2000
Lattice calculation of 1/<i>p</i><SUP>2</SUP> corrections to α<i><sub>s</sub></i> and of Λ<sub>QCD</sub> in the (<i>MOM</i>)over-tilde scheme.
Boucaud, P., Burgio, G., Di Renzo, F., Leroy, J. P., Micheli, J., Parrinello, C., . . . Sharkey, K. (2000). Lattice calculation of 1/<i>p</i><SUP>2</SUP> corrections to α<i><sub>s</sub></i> and of Λ<sub>QCD</sub> in the (<i>MOM</i>)over-tilde scheme.. JOURNAL OF HIGH ENERGY PHYSICS, (4). doi:10.1088/1126-6708/2000/04/006
Lattice calculation of 1/p2 corrections to αs and of ΛQCD in the MOM scheme
Boucaud, P., Burgio, G., Di Renzo, F., Leroy, J. P., Micheli, J., Parrinello, C., . . . Sharkey, K. (2000). Lattice calculation of 1/p2 corrections to αs and of ΛQCD in the MOM scheme. Journal of High Energy Physics, 4(4).