Author

M. Kendall

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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Evolutionary Biology· 2 Bioengineering· 1 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:phylogenetics / evolution· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

X. Didelot· 2 shared A. C. Carnegie· 1 shared A. Clouthier· 1 shared A. Cori· 1 shared A. Kucharski· 1 shared A. T. Ortiz· 1 shared C. A. Pearson· 1 shared C. I. Jarvis· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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Curved chords = mutual co-authorship

2 shared papersEvolutionary Biology

X. Didelot

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Improving modelling for epidemic responses: reflections from members of the UK infectious disease modelling community on their experiences during the COVID-19 pandemic

K. Sherratt, A. C. Carnegie, A. Kucharski, A. Cori, C. A. Pearson, C. I. Jarvis, C. Overton, D. Weston, E. M. Hill, E. Knock, E. Fearon, E. Nightingale, J. Hellewell, W. J. Edmunds, J. V. Arenas, , S. Abbott

The paper reflects on the experiences of UK infectious disease modellers during the COVID-19 pandemic, identifying challenges and proposing recommendations for future epidemic responses.

bioRxiv · Jun 12, 2023Scientific Communication & Education

Predicting vertical and shear ground reaction forces during walking and jogging using wearable plantar pressure insoles

M. Hajizadeh, A. Clouthier, M. Kendall, R. Graham

This study uses LSTM neural networks to predict vertical and shear ground reaction forces from plantar pressure insole data during walking and jogging, showing higher accuracy for walking than jogging.

bioRxiv · Feb 19, 2023Bioengineering

Distinguishing imported cases from locally acquired cases within a geographically limited genomic sample of an infectious disease

X. Didelot, D. Helekal, M. Kendall, P. Ribeca

This paper introduces a method to distinguish imported from locally acquired infectious disease cases using genomic data from a single location, showing good sensitivity and specificity.

bioRxiv · Jul 15, 2022Evolutionary Biology

Within-host diversity improves phylogenetic and transmission reconstruction of SARS-CoV-2 outbreaks

A. T. Ortiz, M. Kendall, N. Storey, J. Hatcher, H. Dunn, S. Roy, R. Williams, C. Williams, R. A. Goldstein, X. Didelot, K. Harris, J. Breuer, L. Grandjean

This study shows that incorporating within-host genetic diversity improves phylogenetic and transmission reconstruction of SARS-CoV-2 outbreaks.

bioRxiv · Jun 7, 2022Evolutionary Biology