Damien Tully

Assistant Professor in Epidemiology, Biostatistics and Bioinformatics

London School of Hygiene & Tropical Medicine

United Kingdom

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Dr. Damien Tully is an Assistant Professor in Epidemiology, Biostatistics and Bioinformatics at the London School of Hygiene and Tropical Medicine in the UK. His research focuses on viral epidemiology, specifically related to SARS-CoV-2, HIV-1 drug resistance surveillance, and hepatitis C virus genomic diversity. Recent publications include studies on the early spread of SARS-CoV-2 variants in Europe and the application of genomic surveillance methods for viral infections.

Articles (18)

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2025

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2021

Collaborators (13)

Yalda Jafari

CANADA

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Luke Green

Lecturer

University of Sheffield

UNITED KINGDOM

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Tim Lucas

University of Oxford

UNITED KINGDOM

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Emma Davis

University of Oxford

UNITED KINGDOM

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Christian Julian Villabona Arenas

Assistant Professor

London School of Hygiene & Tropical Medicine

UNITED KINGDOM

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Pierre Tonnerre

INSERM

FRANCE

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Akira Endo

Assistant Professor

National University of Singapore (NUS)

SINGAPORE

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Dr Benjamin Lindsey

University of Sheffield

UNITED KINGDOM

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Kathleen O'Reilly

Imperial College London

UNITED KINGDOM

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William Waites

University Of Strathclyde

UNITED KINGDOM

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Masahiro Hashizume

University of Tokyo

JAPAN

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Lloyd Chapman

University of Lancaster

UNITED KINGDOM

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Thomas Crellen

University of Glasgow

UNITED KINGDOM

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Damien Tully

Research Interests

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Articles (18)

Phylogenetic insights into the early spread of the SARS-CoV-2 Alpha variant across Europe

The utility of integrating nanopore sequencing into routine HIV-1 drug resistance surveillance

Validation of dried blood spots for capturing hepatitis C virus diversity for genomic surveillance.

Emergence of Novel Norovirus GII.4 Variant.

Validation of Dried Blood Spots for Capturing Hepatitis C Virus Diversity for Genomic Surveillance.

Inferring the multiplicity of founder variants initiating HIV-1 infection: a systematic review and individual patient data meta-analysis.

Comparative assessment of methods for short-term forecasts of COVID-19 hospital admissions in England at the local level.

Characterising within-hospitalSARS-CoV-2 transmission events using epidemiological and viral genomic data across two pandemic waves.

Modelling the medium-term dynamics of SARS-CoV-2 transmission in England in the Omicron era

Leveraging genomic surveillance to enhance elimination strategies for hepatitis C virus.

The importance of saturating density dependence for population-level predictions of SARS-CoV-2 resurgence compared with density-independent or linearly density-dependent models, England, 23 March to 31 July 2020.

A cross-sectional analysis of meteorological factors and SARS-CoV-2 transmission in 409 cities across 26 countries.

Strategies to reduce the risk of SARS-CoV-2 importation from international travellers: modelling estimations for the United Kingdom, July 2020.

Contact tracing is an imperfect tool for controlling COVID-19 transmission and relies on population adherence.

Estimating the impact of reopening schools on the reproduction number of SARS-CoV-2 in England, using weekly contact survey data.

Identification of Genetically Related HCV Infections Among Self-Described Injecting Partnerships.

SARS-CoV-2 infection risk during delivery of childhood vaccination campaigns: a modelling study.

Differentiation of exhausted CD8<sup>+</sup> T cells after termination of chronic antigen stimulation stops short of achieving functional T cell memory.

Collaborators (13)

Yalda Jafari

Luke Green

Tim Lucas

Emma Davis

Christian Julian Villabona Arenas

Pierre Tonnerre

Akira Endo

Dr Benjamin Lindsey

Kathleen O'Reilly

William Waites

Masahiro Hashizume

Lloyd Chapman

Thomas Crellen

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