Prospects for detecting early warning signals in discrete event sequence data: Application to epidemiological incidence data

Emma Southall; Michael J. Tildesley; Louise Dyson

doi:10.1371/journal.pcbi.1007836

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Open Access

Peer-reviewed

Research Article

Prospects for detecting early warning signals in discrete event sequence data: Application to epidemiological incidence data

Emma Southall ,

Roles Conceptualization, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

* E-mail: e.r.southall@warwick.ac.uk, ersouthall@hotmail.co.uk

Affiliation EPSRC & MRC Centre for Doctoral Training in Mathematics for Real-World Systems, University of Warwick, Coventry, UK

http://orcid.org/0000-0002-7319-3080

⨯
Michael J. Tildesley,

Roles Supervision, Writing – review & editing

Affiliation Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, Mathematics Institute and School of Life Sciences, University of Warwick, Coventry, UK
⨯
Louise Dyson

Roles Conceptualization, Methodology, Supervision, Writing – review & editing

Affiliation Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, Mathematics Institute and School of Life Sciences, University of Warwick, Coventry, UK

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

⨯

Prospects for detecting early warning signals in discrete event sequence data: Application to epidemiological incidence data

Emma Southall,
Michael J. Tildesley,
Louise Dyson

Published: September 22, 2020
https://doi.org/10.1371/journal.pcbi.1007836

About the Authors

Emma Southall

Roles Conceptualization, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

* E-mail: e.r.southall@warwick.ac.uk, ersouthall@hotmail.co.uk

Affiliation EPSRC & MRC Centre for Doctoral Training in Mathematics for Real-World Systems, University of Warwick, Coventry, UK

http://orcid.org/0000-0002-7319-3080

Michael J. Tildesley

Roles Supervision, Writing – review & editing

Affiliation Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, Mathematics Institute and School of Life Sciences, University of Warwick, Coventry, UK

Louise Dyson

Roles Conceptualization, Methodology, Supervision, Writing – review & editing

Affiliation Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, Mathematics Institute and School of Life Sciences, University of Warwick, Coventry, UK

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

Competing Interests

The authors have declared that no competing interests exist.

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Epidemiology
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Vaccination and immunization
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Social distancing
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Infectious disease epidemiology
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Simulation and modeling
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Infectious diseases
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