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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), 68(4), pp. 859-885. (doi: 10.1111/rssc.12338) (PMID:31598013) (PMCID:PMC6774336)

Armson, B. et al. (2019) Opportunities for enhanced surveillance of foot‐and‐mouth disease in endemic settings using milk samples. Transboundary and Emerging Diseases, 66(3), pp. 1405-1410. (doi: 10.1111/tbed.13146) (PMID:30740915) (PMCID:PMC6563157)

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)

Casey-Bryars, M. et al. (2018) Waves of endemic foot-and-mouth disease in eastern Africa suggest feasibility of proactive vaccination approaches. Nature Ecology and Evolution, 2(9), pp. 1449-1457. (doi: 10.1038/s41559-018-0636-x) (PMID:30082738)

Logan, G., Newman, J., Wright, C. F., Lasecka-Dykes, L., Haydon, D. T. , Cottam, E. M. and Tuthill, T. J. (2018) Deep sequencing of foot-and-mouth disease virus reveals RNA sequences involved in genome packaging. Journal of Virology, 92(1), e01159-17. (doi: 10.1128/JVI.01159-17) (PMID:29046452) (PMCID:PMC5730773)

This list was generated on Thu May 26 18:15:28 2022 BST.