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

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    Authors
    Dykes, Jason
    Abdul-Rahman, Alfie
    Archambault, Daniel
    Bach, Benjamin
    Borgo, Rita
    Chen, Min
    Enright, Jessica
    Fang, Hui
    Firat, Elif E.
    Freeman, Euan
    Gönen, Tuna
    Harris, Claire
    Jianu, Radu
    John, Nigel W.
    Khan, Saiful
    Lahiff, Andrew
    Laramee, Robert S.
    Matthews, Louise
    Mohr, Sibylle
    Nguyen, Phong H.
    Rahat, Alma A. M.
    Reeve, Richard
    Ritsos, Panagiotis D.
    Roberts, Jonathan C.
    Slingsby, Aidan
    Swallow, Ben
    Torsney-Weir, Thomas
    Turkay, Cagatay
    Turner, Robert
    Vidal, Franck P.
    Wang, Qiru
    Wood, Jo
    Xu, Kai
    Show allShow less
    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
    Publication Date
    2022-09-12
    
    Metadata
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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
    URI
    http://hdl.handle.net/10034/629768
    DOI
    10.1098/rsta.2022.0296
    Additional Links
    https://royalsocietypublishing.org/doi/10.1098/rsta.2022.0296
    Type
    Article
    Language
    en
    ISSN
    1364-503X
    EISSN
    1471-2962
    Sponsors
    n/a
    ae974a485f413a2113503eed53cd6c53
    10.1098/rsta.2022.0296
    Scopus Count
    Collections
    Computer Science

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