Dr William Harvey

  • Research Associate (Institute of Biodiversity Animal Health & Comparative Medicine)

Biography

Broadly speaking, my interests lie in the relationships between pathogens and their hosts, the evolution of traits such as resistance, virulence and host preference, and how an understanding of these processes can be used to inform disease control and intervention strategies. Based at the University of Glasgow, I am a member of the Institute of Health and Wellbeing and the Institute of Biodiversity, Animal Health and Comparative Medicine. I am currently undertaking a three-year UKRI Innovation Fellowship, jointly-funded by MRC and BBSRC, to investigate the structural basis of antigenic variation among both human and avian influenza viruses. My research involves a variety of laboratory techniques including serological assays and reverse genetics and computational techniques that integrate antigenic, genetic, and structural data within phylogenetic frameworks.

I completed my BSc in Evolutionary Biology at the University of Edinburgh focusing on the basis of sex-ratio bias within lineages of Drospohila miranda. I then moved to the University of Glasgow carrying out my PhD research on quantifying the genetic basis of antigenic variation among human influenza A viruses under the supervision of Dr Richard ReeveProf John McCauley (The Francis Crick Institute) and Prof Dan Haydon. I followed this as a post-doctoral position investigating the ecology of antimicrobial resistance in the greater Serengeti ecosystem working with Prof Louise Matthews. I am also a member of the multidisciplinary Boyd Orr Centre for Population and Ecosystem Health.

To find out more about my current and previous research, please visit my research website https://willharvey.me


Research datasets

Jump to: 2016
Number of items: 1.

2016

Gregory, V., Harvey, W., Daniels, R. S., Reeve, R. , Whittaker, L., Halai, C., Douglas, A., Gonsalves, R., Skehel, J. J., Hay, A. J., McCauley, J. W. and Haydon, D. (2016) Human former seasonal Influenza A(H1N1) haemagglutination inhibition data 1977-2009 from the WHO Collaborating Centre for Reference and Research on Influenza, London, UK. [Data Collection]

This list was generated on Fri Jul 19 11:12:05 2019 BST.

Publications

List by: Type | Date

Jump to: 2019 | 2018 | 2017 | 2016 | 2014
Number of items: 8.

2019

Davies, V. , Harvey, W. T., Reeve, R. and Husmeier, D. (2019) Improving the identification of antigenic sites in the H1N1 Influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model. Journal of the Royal Statistical Society: Series C (Applied Statistics), (doi:10.1111/rssc.12338) (Early Online Publication)

2018

Peacock, T. P., Harvey, W. T., Sadeyen, J.-R., Reeve, R. and Iqbal, M. (2018) The molecular basis of antigenic variation among A(H9N2) avian influenza viruses. Emerging Microbes and Infections, 7, 176. (doi:10.1038/s41426-018-0178-y) (PMID:30401826) (PMCID:PMC6220119)

2017

Goldstein, E. J., Harvey, W. T., Wilkie, G. S., Shepherd, S. J., MacLean, A. R., Murcia, P. R. and Gunson, R. N. (2017) Integrating patient and whole-genome sequencing data to provide insights into the epidemiology of seasonal influenza A(H3N2) viruses. Microbial Genomics, 4, (doi:10.1099/mgen.0.000137) (PMID:29310750) (PMCID:PMC5857367)

Davies, V. , Reeve, R. , Harvey, W. T., Maree, F. F. and Husmeier, D. (2017) A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution. Computational Statistics, 32(3), pp. 803-843. (doi:10.1007/s00180-017-0730-6)

2016

Harvey, W. T., Benton, D. J., Gregory, V., Hall, J. P.J., Daniels, R. S., Bedford, T., Haydon, D. T. , Hay, A. J., McCauley, J. W. and Reeve, R. (2016) Identification of low- and high-impact hemagglutinin amino acid substitutions that drive antigenic drift of influenza A(H1N1) viruses. PLoS Pathogens, 12(4), e1005526. (doi:10.1371/journal.ppat.1005526) (PMID:27057693) (PMCID:PMC4825936)

Davies, V. , Reeve, R. , Harvey, W. T. and Husmeier, D. (2016) Selecting random effect components in a sparse hierarchical Bayesian model for identifying antigenic variability. In: Computational Intelligence Methods for Bioinformatics and Biostatistics: 12th International Meeting, CIBB 2015, Naples, Italy, September 10-12, 2015, Revised Selected Papers. Series: Lecture Notes in Computer Science (9874). Springer, pp. 14-27. ISBN 9783319443317 (doi:10.1007/978-3-319-44332-4_2)

Reeve, R. et al. (2016) Tracking the antigenic evolution of foot-and-mouth disease virus. PLoS ONE, 11(7), e0159360. (doi:10.1371/journal.pone.0159360) (PMID:27448206) (PMCID:PMC4957747)

2014

Davies, V. , Reeve, R. , Harvey, W., Maree, F. and Husmeier, D. (2014) Sparse Bayesian variable selection for the identiļ¬cation of antigenic variability in the Foot-and-Mouth disease virus. Proceedings of Machine Learning Research, 33, pp. 149-158.

This list was generated on Sat Jul 20 02:02:16 2019 BST.
Number of items: 8.

Articles

Davies, V. , Harvey, W. T., Reeve, R. and Husmeier, D. (2019) Improving the identification of antigenic sites in the H1N1 Influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model. Journal of the Royal Statistical Society: Series C (Applied Statistics), (doi:10.1111/rssc.12338) (Early Online Publication)

Peacock, T. P., Harvey, W. T., Sadeyen, J.-R., Reeve, R. and Iqbal, M. (2018) The molecular basis of antigenic variation among A(H9N2) avian influenza viruses. Emerging Microbes and Infections, 7, 176. (doi:10.1038/s41426-018-0178-y) (PMID:30401826) (PMCID:PMC6220119)

Goldstein, E. J., Harvey, W. T., Wilkie, G. S., Shepherd, S. J., MacLean, A. R., Murcia, P. R. and Gunson, R. N. (2017) Integrating patient and whole-genome sequencing data to provide insights into the epidemiology of seasonal influenza A(H3N2) viruses. Microbial Genomics, 4, (doi:10.1099/mgen.0.000137) (PMID:29310750) (PMCID:PMC5857367)

Davies, V. , Reeve, R. , Harvey, W. T., Maree, F. F. and Husmeier, D. (2017) A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution. Computational Statistics, 32(3), pp. 803-843. (doi:10.1007/s00180-017-0730-6)

Harvey, W. T., Benton, D. J., Gregory, V., Hall, J. P.J., Daniels, R. S., Bedford, T., Haydon, D. T. , Hay, A. J., McCauley, J. W. and Reeve, R. (2016) Identification of low- and high-impact hemagglutinin amino acid substitutions that drive antigenic drift of influenza A(H1N1) viruses. PLoS Pathogens, 12(4), e1005526. (doi:10.1371/journal.ppat.1005526) (PMID:27057693) (PMCID:PMC4825936)

Reeve, R. et al. (2016) Tracking the antigenic evolution of foot-and-mouth disease virus. PLoS ONE, 11(7), e0159360. (doi:10.1371/journal.pone.0159360) (PMID:27448206) (PMCID:PMC4957747)

Davies, V. , Reeve, R. , Harvey, W., Maree, F. and Husmeier, D. (2014) Sparse Bayesian variable selection for the identiļ¬cation of antigenic variability in the Foot-and-Mouth disease virus. Proceedings of Machine Learning Research, 33, pp. 149-158.

Book Sections

Davies, V. , Reeve, R. , Harvey, W. T. and Husmeier, D. (2016) Selecting random effect components in a sparse hierarchical Bayesian model for identifying antigenic variability. In: Computational Intelligence Methods for Bioinformatics and Biostatistics: 12th International Meeting, CIBB 2015, Naples, Italy, September 10-12, 2015, Revised Selected Papers. Series: Lecture Notes in Computer Science (9874). Springer, pp. 14-27. ISBN 9783319443317 (doi:10.1007/978-3-319-44332-4_2)

This list was generated on Sat Jul 20 02:02:16 2019 BST.