Author

W. T. Harvey

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 4

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:host-pathogen & immune response· 3 Organism:virus· 3 Approach:Bayesian inference· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:metagenomics· 1 Organism:mouse· 1

Frequent Co-Authors

R. Reeve· 2 shared T. P. Peacock· 2 shared A. H. Patel· 1 shared A. J. Hay· 1 shared A. M. E. Elrefaey· 1 shared A. R. MacLean· 1 shared D. Bailey· 1 shared D. H. Goldhill· 1 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersMicrobiology

R. Reeve

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Author profile →

4 papers

Recent·Most cited

A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A(H3N2) viruses

W. T. Harvey, V. Davies, R. S. Daniels, L. Whittaker, V. Gregory, A. J. Hay, D. Husmeier, J. W. McCauley, R. Reeve

This paper uses a Bayesian model to identify genetic changes in influenza A(H3N2) viruses that drive antigenic drift by incorporating protein structural data to improve variable selection accuracy.

bioRxiv · Mar 26, 2022Microbiology

Mutations that adapt SARS-CoV-2 to mustelid hosts do not increase fitness in the human airway.

J. Zhou, T. P. Peacock, J. C. Brown, D. H. Goldhill, A. M. E. Elrefaey, R. Penrice-Randal, V. M. Cowton, G. De Lorenzo, W. Furnon, W. T. Harvey, R. Kugathasan, R. Frise, L. Baillon, R. Lassauniere, N. Thakur, , W. S. Barclay

The paper identifies spike mutations that adapt SARS-CoV-2 to mustelid hosts and assesses their impact on human infectivity and antigenicity.

bioRxiv · Aug 20, 2021 · PreprintMicrobiology

Genetic determinants of receptor-binding preference and zoonotic potential of H9N2 avian influenza viruses

T. P. Peacock, J. E. Sealy, W. T. Harvey, D. J. Benton, R. Reeve, M. Iqbal

This study identifies genetic mutations in H9N2 influenza viruses that influence their receptor-binding preferences and zoonotic potential by altering their affinity for human-like or avian receptors.

Journal of Virology · Feb 10, 2021Peer-reviewedMicrobiology

Integrating Patient And Whole Genome Sequencing Data To Provide Insights Into The Epidemiology Of Seasonal Influenza A(H3N2) Viruses

E. J. Goldstein, W. T. Harvey, G. S. Wilkie, S. J. Shepherd, A. R. MacLean, P. R. Murcia, R. N. Gunson

This study integrates patient and whole genome sequencing data to analyze the epidemiology of seasonal influenza A(H3N2) viruses, finding that reassortant viruses are associated with severe cases and later seasonality.

Microbial Genomics · Jan 1, 2018Peer-reviewedMicrobiology