J<sc>une</sc>: open-source individual-based epidemiology simulation

J<sc>une</sc>: open-source individual-based epidemiology simulation

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 mo...

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Bibliographic Details
Main Authors: Joseph Aylett-Bullock, Carolina Cuesta-Lazaro, Arnau Quera-Bofarull, Miguel Icaza-Lizaola, Aidan Sedgewick, Henry Truong, Aoife Curran, Edward Elliott, Tristan Caulfield, Kevin Fong, Ian Vernon, Julian Williams, Richard Bower, Frank Krauss
Format: Article
Language:English
Published: The Royal Society 2021-07-01
Series:Royal Society Open Science
Subjects:
simulation
individual-based model
infectious disease
Online Access:https://royalsocietypublishing.org/doi/10.1098/rsos.210506

Internet

https://royalsocietypublishing.org/doi/10.1098/rsos.210506

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