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JUNE: open-source individual-based epidemiology simulation

Aylett-Bullock, J.; Cuesta-Lazaro, C.; Quera-Bofarull, A.; Icaza-Lizaola, M.; Sedgewick, A.; Truong, H.; Curran, A.; Elliott, E.; Caulfield, T.; Fong, K.; Vernon, I.; Williams, J.; Bower, R.; Krauss, F.

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Authors

J. Aylett-Bullock

C. Cuesta-Lazaro

A. Quera-Bofarull

M. Icaza-Lizaola

A. Sedgewick

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Henry Truong henry.truong@durham.ac.uk
PGR Student Doctor of Philosophy

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Aoife Curran aoife.m.curran@durham.ac.uk
PGR Student Doctor of Philosophy

Edward Elliott edward.j.elliott@durham.ac.uk
PGR Student Doctor of Philosophy

T. Caulfield

K. Fong

R. Bower



Abstract

We introduce June, an open-source framework for the detailed simulation of epidemics on the basis of social interactions in a virtual population constructed from geographically granular census data, reflecting age, sex, ethnicity and socio-economic indicators. Interactions between individuals are modelled in groups of various sizes and properties, such as households, schools and workplaces, and other social activities using social mixing matrices. June provides a suite of flexible parametrizations that describe infectious diseases, how they are transmitted and affect contaminated individuals. In this paper, we apply June to the specific case of modelling the spread of COVID-19 in England. We discuss the quality of initial model outputs which reproduce reported hospital admission and mortality statistics at national and regional levels as well as by age strata.

Citation

Aylett-Bullock, J., Cuesta-Lazaro, C., Quera-Bofarull, A., Icaza-Lizaola, M., Sedgewick, A., Truong, H., …Krauss, F. (2021). JUNE: open-source individual-based epidemiology simulation. Royal Society Open Science, 8(7), https://doi.org/10.1098/rsos.210506

Journal Article Type Article
Acceptance Date Jun 22, 2021
Online Publication Date Jul 7, 2021
Publication Date 2021-07
Deposit Date Jul 22, 2021
Publicly Available Date Jul 23, 2021
Journal Royal Society Open Science
Publisher The Royal Society
Peer Reviewed Peer Reviewed
Volume 8
Issue 7
DOI https://doi.org/10.1098/rsos.210506
Public URL https://durham-repository.worktribe.com/output/1244769

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