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Correction to: Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations (2022) by Dykes et al.

Dykes, Jason
; 
Abdul-Rahman, Alfie
; 
Archambault, Daniel
; 
Bach, Benjamin
; 
Borgo, Rita
; 
Chen, Min
; 
Enright, Jessica
; 
Fang, Hui
; 
Firat, Elif E.
; 
Freeman, Euan
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Affiliation
University of London; King’s College London; Swansea University; University of Edinburgh; University of Oxford; Loughborough University; Nottingham University; University of Glasgow; Biomathematics and Statistics Scotland; University of Chester; UKAEA; Bangor University; Warwick University; University of Sheffield; Middlesex University
EPub Date
Publication Date
2022-09-12
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Computer Sciences
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Abstract
In the original version of this article, references 113–120, 123–140 and 143 were incorrectly numbered. This has been corrected on the publisher’s website.
Citation
Dykes, J., Abdul-Rahman, A., Archambault, D., Bach, B., Borgo, R., Chen, M., Enright, J., Fang, H., Firat, E. E., Freeman, E., Gonen, T., Harris, C., Jianu, R., John, N. W., Khan, S., Lahiff, A., Laramee, R. S., Matthews, L., Mohr, S., ... Xu, K. (2022). Correction to: Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations. Philosophical Transactions of the Royal Society A: Mathematical Physical and Engineering Sciences, 380, article-number 20220296. https://doi.org/10.1098/rsta.2022.0296
Publisher
The Royal Society
Journal
Philosophical Transactions of the Royal Society A: Mathematical Physical and Engineering Sciences
Research Unit
URI
http://hdl.handle.net/10034/629768
DOI
10.1098/rsta.2022.0296
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PubMed Central ID
Type
Article
Language
en
Description
Series/Report no.
ISSN
1364-503X
EISSN
1471-2962
ISBN
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Additional Links
https://royalsocietypublishing.org/doi/10.1098/rsta.2022.0296
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