Author

S. Abbott

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· 1 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

T. Russell· 2 shared A. C. Carnegie· 1 shared A. Cori· 1 shared A. Kucharski· 1 shared C. A. Pearson· 1 shared C. I. Jarvis· 1 shared C. Judge· 1 shared C. Overton· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersEvolutionary Biology

T. Russell

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2 papers

Recent·Most cited

EpiFusion: Joint inference of the effective reproduction number by integrating phylodynamic and epidemiological modelling with particle filtering

C. Judge, T. Vaughan, T. Russell, S. Abbott, L. du Plessis, T. Stadler, O. Brady, S. Hill

EpiFusion improves estimation of outbreak dynamics by integrating phylodynamic and epidemiological data using particle filtering, enhancing accuracy and efficiency in large, poorly sampled epidemics.

bioRxiv · Dec 18, 2023Evolutionary Biology

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