Francesca Scarabel

Lecturer in Mathematical Biology

University of Leeds

United Kingdom

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Francesca Scarabel is a Lecturer in Mathematical Biology at the University of Leeds, UK. Her research focuses on mathematical modeling in biological systems, particularly in the context of infectious disease dynamics and population behavior. Recent publications include work on approximating reproduction numbers and the impact of voluntary risk mitigation on the SARS-CoV-2 pandemic.

Articles (15)

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2024

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2021

Collaborators (12)

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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Jasmina Panovska-Griffiths

University of Oxford

UNITED KINGDOM

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Emily Nixon

University of Bristol

UNITED KINGDOM

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Ben Swallow

University of St. Andrews

UNITED KINGDOM

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Lorenzo Pellis

The University of Manchester

UNITED KINGDOM

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Mirjam Kretzschmar

Professor

University Medical Center Groningen

NETHERLANDS

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Ganna Rozhnova

Associate Professor

University Medical Center Groningen

NETHERLANDS

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Elizabeth Fearon

University College London

UNITED KINGDOM

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Francesca Scarabel

Research Interests

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Articles (15)

Equations with Infinite Delay: Pseudospectral Discretization for Numerical Stability and Bifurcation in an Abstract Framework

Approximating reproduction numbers: a general numerical method for age-structured models

EQUATIONS WITH INFINITE DELAY: PSEUDOSPECTRAL DISCRETIZATION FOR NUMERICAL STABILITY AND BIFURCATION IN AN ABSTRACT FRAMEWORK

Voluntary risk mitigation behaviour can reduce impact of SARS-CoV-2: a real-time modelling study of the January 2022 Omicron wave in England

Renewal equations for delayed population behaviour adaptation coupled with disease transmission dynamics: A mechanism for multiple waves of emerging infections

Modelling: Understanding pandemics and how to control them

Challenges for modelling interventions for future pandemics

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

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

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

Non-pharmaceutical intervention levels to reduce the COVID-19 attack ratio among children

A pseudospectral method for investigating the stability of linear population models with two physiological structures

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

Numerical bifurcation analysis of renewal equations via pseudospectral approximation

Bivariate collocation for computing R0 in epidemic models with two structures

Collaborators (12)

Thomas House

ian hall

Leon Danon

Katrina Lythgoe

Helena Stage

Jasmina Panovska-Griffiths

Emily Nixon

Ben Swallow

Lorenzo Pellis

Mirjam Kretzschmar

Ganna Rozhnova

Elizabeth Fearon

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