Thomas House

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The University of Manchester

United Kingdom

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Recent Grants

Grant: Close

COVID-19 Modelling Consortium: quantitative epidemiological predictions in response to an evolving pandemic

Open Date: 2020-11-19

Close Date: 2022-05-17

Grant: Close

An analytical framework for Test, Trace and Isolate in the UK: optimising and targeting deployment alongside other measures.

Open Date: 2020-08-31

Close Date: 2021-08-30

Grant: Close

Epidemic modelling and statistical support for policy: sub-populations, forecasting, and long-term planning

Open Date: 2020-07-31

Close Date: 2022-01-31

Grant: Close

Mathematical, statistical and computational methods to improve mental health

Open Date: 2018-09-16

Close Date: 2022-12-30

Grant: Close

Operationalising Modern Mathematical Epidemiology

Open Date: 2016-11-01

Close Date: 2018-10-31

Articles (28)

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Collaborators (38)

Katie Druce

Health Solutions

UNITED STATES

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Thomas Finnie

UK Health Security Agency

UNITED KINGDOM

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Nicole Stoesser

University of Oxford

UNITED KINGDOM

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Jacob Curran-Sebastian

Københavns Universitet

DENMARK

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Yang Han

Senior Lecturer / Associate Professor in Statistics

The University of Manchester

UNITED KINGDOM

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John McBeth

The University of Manchester

UNITED KINGDOM

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ian hall

The University of Manchester

UNITED KINGDOM

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David Eyre

University of Oxford

UNITED KINGDOM

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Leon Danon

University of Bristol

UNITED KINGDOM

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Katrina Lythgoe

University of Oxford

UNITED KINGDOM

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Helena Stage

Lecturer in Applied Mathematics

University of Bristol

UNITED KINGDOM

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Andrew Loudon

The University of Manchester

UNITED KINGDOM

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Samuel Power

Academic , Lecturer

University of Bristol

UNITED KINGDOM

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MARTIN LOPEZ-GARCIA

Lecturer

University of Leeds

UNITED KINGDOM

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Lorenzo Pellis

The University of Manchester

UNITED KINGDOM

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Massimo Cavallaro

University of Leicester

UNITED KINGDOM

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Mark Muldoon

Reader in Applied Mathematics

The University of Manchester

UNITED KINGDOM

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Louise Dyson

University of Warwick

UNITED KINGDOM

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Simon Cotter

The University of Manchester

UNITED KINGDOM

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Gareth Kitchen

The University of Manchester

UNITED KINGDOM

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Joe Hilton

The University of Manchester

UNITED KINGDOM

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Tanya Golubchik

Senior Lecturer

AUSTRALIA

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Vasileios Lampos

Associate Professor

University College London

UNITED KINGDOM

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Gavin Screaton

Head Medical Sciences Division, Dean of Medicine

University of Oxford

UNITED KINGDOM

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Graham Medley

Professor of Infectious Disease Modelling

London School of Hygiene & Tropical Medicine

UNITED KINGDOM

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Julie Gibbs

Senior Lecturer

The University of Manchester

UNITED KINGDOM

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Antony Adamson

The University of Manchester

UNITED KINGDOM

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Qing Jun Meng

The University of Manchester

UNITED KINGDOM

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Fergus Cumming

Deputy Chief Economist

UNITED KINGDOM

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Caroline Jay

The University of Manchester

UNITED KINGDOM

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Rigina Skeva

The University of Manchester

UNITED KINGDOM

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James Nokes

Professor

University of Warwick

UNITED KINGDOM

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Robert Aldridge

Professor of Health Metrics

University of Washington

UNITED STATES

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Olatunji Johnson

The University of Manchester

UNITED KINGDOM

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John Blaikley

The University of Manchester

UNITED KINGDOM

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Titus Augustine

The University of Manchester

UNITED KINGDOM

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John Norman Newton

Professor of Public Health and Epidemiology

University of Exeter

UNITED KINGDOM

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Francesca Scarabel

Lecturer in Mathematical Biology

University of Leeds

UNITED KINGDOM

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Thomas House

Research Interests

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Recent Grants

Articles (28)

Modelling the dynamics of SARS-CoV-2 during the first 14 days of infection

Time-varying reproduction number estimation: fusing compartmental models with generalized additive models

Epidemiological and phylogenetic analyses of public SARS-CoV-2 data from Malawi

Probability of extinction and peak time for multi-type epidemics with application to COVID-19 variants of concern

Investigating the trade-off between infections and social interactions using a compact model of endemic infections on networks

Thomas House's contribution to the Discussion of `Some statistical aspects of the Covid-19 response' by Wood et al

Real-time modelling of the SARS-CoV-2 pandemic in England 2020–2023: a challenging data integration

Estimating the household secondary attack rate and serial interval of COVID-19 using social media

Identifying Weekly Trajectories of Pain Severity Using Daily Data From an mHealth Study: Cluster Analysis

Improving the representativeness of UK’s national COVID-19 Infection Survey through spatio-temporal regression and post-stratification

Unsupervised identification of significant lineages of SARS-CoV-2 through scalable machine learning method

Prevalence of persistent SARS-CoV-2 in a large community surveillance study

NuZZ: numerical Zig-Zag for general models

Cycles of Susceptibility: Immunity Debt Explains Altered Infectious Disease Dynamics Post-Pandemic

The role of vaccination and public awareness in forecasts of Mpox incidence in the United Kingdom

Modelling and classifying joint trajectories of self-reported mood and pain in a large cohort study

Diversity of symptom phenotypes in SARS-CoV-2 community infections observed in multiple large datasets

Tracking the structure and sentiment of vaccination discussions on Mumsnet

Lineage replacement and evolution captured by 3 years of the United Kingdom Coronavirus (COVID-19) Infection Survey

What do people living with chronic pain want from a pain forecast? A research prioritization study

Estimation of reproduction numbers in real time: Conceptual and statistical challenges

ClinCirc identifies alterations of the circadian peripheral oscillator in critical care patients

Authors' reply to the discussion of ‘Estimation of reproduction numbers in real time: conceptual and statistical challenges’ by Pellis et al. in Session 3 of the Royal Statistical Society's Special Topic Meeting on COVID ‐19 transmission: 11 June 2021

Analysis and comprehensive lineage identification for SARS-CoV-2 genomes through scalable learning methods

Public perceptions and interactions with UK COVID-19 Test, Trace and Isolate policies, and implications for pandemic infectious disease modelling [version 1; peer review: awaiting peer review]

Inferring risks of coronavirus transmission from community household data

Quantification of protein abundance and interaction defines a mechanism for operation of the circadian clock

Public perceptions and interactions with UK COVID-19 Test, Trace and Isolate policies, and implications for pandemic infectious disease modelling

Collaborators (38)

Katie Druce

Thomas Finnie

Nicole Stoesser

Jacob Curran-Sebastian

Yang Han

John McBeth

ian hall

David Eyre

Leon Danon

Katrina Lythgoe

Helena Stage

Andrew Loudon

Samuel Power

MARTIN LOPEZ-GARCIA

Lorenzo Pellis

Massimo Cavallaro

Mark Muldoon

Louise Dyson

Simon Cotter

Gareth Kitchen

Joe Hilton

Tanya Golubchik

Vasileios Lampos

Gavin Screaton

Graham Medley

Julie Gibbs

Antony Adamson

Qing Jun Meng

Fergus Cumming

Caroline Jay

Rigina Skeva

James Nokes

Robert Aldridge

Olatunji Johnson

John Blaikley

Titus Augustine

John Norman Newton

Francesca Scarabel

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