• Login
    View Item 
    •   Home
    • Research Publications
    • Engineering & Technology
    • Department of Electronics, Computing & Maths
    • View Item
    •   Home
    • Research Publications
    • Engineering & Technology
    • Department of Electronics, Computing & Maths
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UDORACommunitiesTitleAuthorsIssue DateSubmit DateSubjectsThis CollectionTitleAuthorsIssue DateSubmit DateSubjects

    My Account

    LoginRegister

    About and further information

    AboutOpen Access WebpagesOpen Access PolicyTake Down Policy University Privacy NoticeUniversity NewsTools for ResearchersLibraryUDo

    Statistics

    Display statistics

    Juxtaposition of system dynamics and agent-based simulation for a case study in immunosenescence.

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Whitbrook_2015_Juxtaposition_o ...
    Size:
    522.7Kb
    Format:
    PDF
    Description:
    Published PDF (Open Access CCBY)
    Download
    Authors
    Figueredo, Grazziela P.
    Siebers, Peer-Olaf
    Aickelin, Uwe
    Whitbrook, Amanda cc
    Garibaldi, Jonathan M.
    Affiliation
    University of Nottingham
    Loughborough University
    Issue Date
    2015-03-25
    
    Metadata
    Show full item record
    Abstract
    Advances in healthcare and in the quality of life significantly increase human life expectancy. With the aging of populations, new unfaced challenges are brought to science. The human body is naturally selected to be well-functioning until the age of reproduction to keep the species alive. However, as the lifespan extends, unseen problems due to the body deterioration emerge. There are several age-related diseases with no appropriate treatment; therefore, the complex aging phenomena needs further understanding. It is known that immunosenescence is highly correlated to the negative effects of aging. In this work we advocate the use of simulation as a tool to assist the understanding of immune aging phenomena. In particular, we are comparing system dynamics modelling and simulation (SDMS) and agent-based modelling and simulation (ABMS) for the case of age-related depletion of naive T cells in the organism.We address the following research questions: Which simulation approach is more suitable for this problem? Can these approaches be employed interchangeably? Is there any benefit of using one approach compared to the other? Results show that both simulation outcomes closely fit the observed data and existing mathematical model; and the likely contribution of each of the naive T cell repertoire maintenance method can therefore be estimated. The differences observed in the outcomes of both approaches are due to the probabilistic character of ABMS contrasted to SDMS. However, they do not interfere in the overall expected dynamics of the populations. In this case, therefore, they can be employed interchangeably, with SDMS being simpler to implement and taking less computational resources.
    Citation
    Figueredo, G. P. et al (2015) 'Juxtaposition of System Dynamics and Agent-Based Simulation for a Case Study in Immunosenescence', PLoS ONE 10 (3):e0118359. doi:10.1371/journal.pone.0118359
    Publisher
    Public Library of Science (PLOS)
    Journal
    PLOS ONE
    URI
    http://hdl.handle.net/10545/622386
    DOI
    10.1371/journal.pone.0118359
    Additional Links
    http://dx.plos.org/10.1371/journal.pone.0118359
    Type
    Article
    Language
    en
    ISSN
    19326203
    ae974a485f413a2113503eed53cd6c53
    10.1371/journal.pone.0118359
    Scopus Count
    Collections
    Department of Electronics, Computing & Maths

    entitlement

     
    DSpace software (copyright © 2002 - 2021)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.