A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic

Joe Hilton; Heather Riley; Lorenzo Pellis; Rabia Aziza; Samuel P. C. Brand; Ivy K. Kombe; John Ojal; Andrea Parisi; Matt J. Keeling; D. James Nokes; Robert Manson-Sawko; Thomas House

doi:10.1371/journal.pcbi.1010390

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Open Access

Peer-reviewed

Research Article

A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic

Joe Hilton ,

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

* E-mail: joe.b.hilton@gmail.com

Affiliations School of Life Sciences, University of Warwick, Coventry, United Kingdom, Zeeman Institue (SBIDER), University of Warwick, Coventry, United Kingdom

https://orcid.org/0000-0002-2787-3827

⨯
Heather Riley,

Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Visualization, Writing – original draft

Affiliation Department of Mathematics, University of Manchester, Manchester, United Kingdom

https://orcid.org/0000-0001-6133-9292

⨯
Lorenzo Pellis,

Roles Conceptualization, Formal analysis, Methodology

Affiliations Department of Mathematics, University of Manchester, Manchester, United Kingdom, The Alan Turing Institute for Data Science and Artificial Intelligence, London, United Kingdom

https://orcid.org/0000-0002-3436-6487

⨯
Rabia Aziza,

Roles Conceptualization, Methodology

Affiliations School of Life Sciences, University of Warwick, Coventry, United Kingdom, Zeeman Institue (SBIDER), University of Warwick, Coventry, United Kingdom

https://orcid.org/0000-0003-3461-2622

⨯
Samuel P. C. Brand,

Roles Conceptualization, Formal analysis, Methodology

Affiliations School of Life Sciences, University of Warwick, Coventry, United Kingdom, Zeeman Institue (SBIDER), University of Warwick, Coventry, United Kingdom, Kenya Medical Research Institute - Wellcome Trust Research Programme, Kilifi, Kenya

https://orcid.org/0000-0003-0645-5367

⨯
Ivy K. Kombe,

Roles Conceptualization, Methodology

Affiliation Kenya Medical Research Institute - Wellcome Trust Research Programme, Kilifi, Kenya
⨯
John Ojal,

Roles Conceptualization, Methodology

Affiliations Kenya Medical Research Institute - Wellcome Trust Research Programme, Kilifi, Kenya, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
⨯
Andrea Parisi,

Roles Conceptualization, Methodology

Affiliations School of Life Sciences, University of Warwick, Coventry, United Kingdom, Zeeman Institue (SBIDER), University of Warwick, Coventry, United Kingdom

https://orcid.org/0000-0003-2972-9770

⨯
Matt J. Keeling,

Roles Conceptualization, Funding acquisition, Methodology

Affiliations School of Life Sciences, University of Warwick, Coventry, United Kingdom, Zeeman Institue (SBIDER), University of Warwick, Coventry, United Kingdom, Mathematics Institute, University of Warwick, Coventry, United Kingdom

https://orcid.org/0000-0003-4639-4765

⨯
D. James Nokes,

Roles Conceptualization, Funding acquisition, Methodology, Writing – original draft

Affiliations School of Life Sciences, University of Warwick, Coventry, United Kingdom, Zeeman Institue (SBIDER), University of Warwick, Coventry, United Kingdom, Kenya Medical Research Institute - Wellcome Trust Research Programme, Kilifi, Kenya

https://orcid.org/0000-0001-5426-1984

⨯
Robert Manson-Sawko,

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Software, Visualization, Writing – original draft

Affiliation IBM Research Europe, Hartree Centre, Daresbury, United Kingdom

https://orcid.org/0000-0002-0235-9266

⨯
Thomas House

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Software, Writing – original draft, Writing – review & editing

Affiliations Department of Mathematics, University of Manchester, Manchester, United Kingdom, The Alan Turing Institute for Data Science and Artificial Intelligence, London, United Kingdom, IBM Research Europe, Hartree Centre, Daresbury, United Kingdom
⨯

A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic

Joe Hilton,
Heather Riley,
Lorenzo Pellis,
Rabia Aziza,
Samuel P. C. Brand,
Ivy K. Kombe,
John Ojal,
Andrea Parisi,
Matt J. Keeling,
D. James Nokes

Published: September 6, 2022
https://doi.org/10.1371/journal.pcbi.1010390

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