Lorenzo Pellis

The University of Manchester

United Kingdom

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Articles (13)

Year:

2024

Year:

2023

Year:

2022

Year:

2022

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2022

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2021

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2021

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2021

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2021

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2021

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2021

Year:

2021

Year:

2021

Collaborators (14)

Thomas House

The University of Manchester

UNITED KINGDOM

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ian hall

The University of Manchester

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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Wendy Olsen

The University of Manchester

UNITED KINGDOM

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Andrea Lisette Aparicio Castro

The University of Manchester

UNITED KINGDOM

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Ellen Brooks-Pollock

Professor at Bristol Medical School

University of Bristol

UNITED KINGDOM

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Mark Elliot

The University of Manchester

UNITED KINGDOM

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Diego Andres Perez Ruiz

The University of Manchester

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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Elizabeth Fearon

University College London

UNITED KINGDOM

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Maria Pampaka

The University of Manchester

UNITED KINGDOM

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Francesca Scarabel

Lecturer in Mathematical Biology

University of Leeds

UNITED KINGDOM

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Lorenzo Pellis

Research Interests

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Articles (13)

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

Modelling the impact of non-pharmaceutical interventions on workplace transmission of SARS-CoV-2 in the home-delivery sector

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

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

EpiBeds: Data informed modelling of the COVID-19 hospital burden in England

Challenges in control of COVID-19: short doubling time and long delay to effect of interventions

Superinfection and the evolution of an initial asymptomatic stage

Commentary on the use of the reproduction number <i>R</i> during the COVID-19 pandemic.

Hospital Length of Stay For COVID-19 Patients: Data-Driven Methods for Forward Planning

Growth, reproduction numbers and factors affecting the spread of SARS-CoV-2 novel variants of concern in the UK from October 2020 to July 2021: a modelling analysis

Insights gained from early modelling of COVID-19 to inform the management of outbreaks in UK prisons

Outbreaks in care homes may lead to substantial disease burden if not mitigated

Using a household-structured branching process to analyse contact tracing in the SARS-CoV-2 pandemic

Collaborators (14)

Thomas House

ian hall

Leon Danon

Katrina Lythgoe

Helena Stage

Wendy Olsen

Andrea Lisette Aparicio Castro

Ellen Brooks-Pollock

Mark Elliot

Diego Andres Perez Ruiz

Graham Medley

Elizabeth Fearon

Maria Pampaka

Francesca Scarabel

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