• Login
    View Item 
    •   Home
    • Brock University Publications & Manuscripts
    • Faculty of Mathematics and Science
    • Computer Science
    • View Item
    •   Home
    • Brock University Publications & Manuscripts
    • Faculty of Mathematics and Science
    • Computer Science
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of BrockUCommunitiesPublication DateAuthorsTitlesSubjectsThis CollectionPublication DateAuthorsTitlesSubjectsProfilesView

    My Account

    LoginRegister

    Statistics

    Display statistics

    Representation for Evolution of Epidemic Models

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    CEC_Jan_2019_FINAL.pdf
    Size:
    464.7Kb
    Format:
    PDF
    Download
    Author
    Dube, Michael
    Houghten, Sheridan
    Ashlock, Daniel
    Keyword
    Epidemic modeling
    Evolutionary algorithm
    
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/10464/17136
    Abstract
    Creating a representation capable of generating personal contact networks that are most likely to exhibit specific epidemic behavior is difficult due to the inherit volatility of an epidemic and the numerous parameters accompanying the problem. To surpass these hurdles, evolutionary algorithms are used to create a generative solution which generates personal contact networks, modeling human populations, to satisfy the epidemic duration and epidemic profile matching problems. This representation is entitled the Local THADS-N representation. Two new operators are added to the original THADS-N system, and tested with a traditional parameter sweep and a parameter selection method known as point packing on nine epidemic profiles. Additionally, a new epidemic model is implemented in order to allow for lost immunity within a population thus increasing the length of an epidemic.
    ae974a485f413a2113503eed53cd6c53
    10.1109/cec.2019.8790265
    Scopus Count
    Collections
    Computer Science

    entitlement

     
    DSpace software (copyright © 2002 - 2023)  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.