A network modelling approach to assess non-pharmaceutical disease controls in a worker population: An application to SARS-CoV-2

Edward M. Hill; Benjamin D. Atkins; Matt J. Keeling; Louise Dyson; Michael J. Tildesley

doi:10.1371/journal.pcbi.1009058

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Open Access

Peer-reviewed

Research Article

A network modelling approach to assess non-pharmaceutical disease controls in a worker population: An application to SARS-CoV-2

Edward M. Hill ,

Contributed equally to this work with: Edward M. Hill, Benjamin D. Atkins

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

* E-mail: Edward.Hill@warwick.ac.uk

Affiliations The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, United Kingdom, Joint UNIversities Pandemic and Epidemiological Research, https://maths.org/juniper/

https://orcid.org/0000-0002-2992-2004

⨯
Benjamin D. Atkins ,

Contributed equally to this work with: Edward M. Hill, Benjamin D. Atkins

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

Affiliations The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, United Kingdom, Joint UNIversities Pandemic and Epidemiological Research, https://maths.org/juniper/

https://orcid.org/0000-0002-3746-8374

⨯
Matt J. Keeling,

Roles Conceptualization, Funding acquisition, Methodology, Writing – review & editing

Affiliations The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, United Kingdom, Joint UNIversities Pandemic and Epidemiological Research, https://maths.org/juniper/

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

⨯
Louise Dyson,

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

Affiliations The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, United Kingdom, Joint UNIversities Pandemic and Epidemiological Research, https://maths.org/juniper/

https://orcid.org/0000-0001-9788-4858

⨯
Michael J. Tildesley

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

Affiliations The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, United Kingdom, Joint UNIversities Pandemic and Epidemiological Research, https://maths.org/juniper/

https://orcid.org/0000-0002-6875-7232

⨯

A network modelling approach to assess non-pharmaceutical disease controls in a worker population: An application to SARS-CoV-2

Edward M. Hill,
Benjamin D. Atkins,
Matt J. Keeling,
Louise Dyson,
Michael J. Tildesley

Published: June 16, 2021
https://doi.org/10.1371/journal.pcbi.1009058

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