• Login
    Search 
    •   SUNScholar
    • Faculty of Medicine and Health Sciences
    • South African Centre for Epidemiological Modelling and Analysis (SACEMA)
    • Search
    •   SUNScholar
    • Faculty of Medicine and Health Sciences
    • South African Centre for Epidemiological Modelling and Analysis (SACEMA)
    • Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Search

    Show Advanced FiltersHide Advanced Filters

    Filters

    Use filters to refine the search results.

    Now showing items 1-2 of 2

    • Sort Options:
    • Relevance
    • Title Asc
    • Title Desc
    • Issue Date Asc
    • Issue Date Desc
    • Results Per Page:
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
    Thumbnail

    HIV treatment as prevention : principles of good HIV epidemiology modelling for public health decision- making in all modes of prevention and evaluation 

    Delva, Wim; Wilson, David P.; Abu-Raddad, Laith; Gorgens, Marelize; Wilson, David; Hallett, Timothy B.; Welte, Alex (Public Library of Science (PLOS), 2012-07)
    Public health responses to HIV epidemics have long relied on epidemiological modelling analyses to help prospectively project and retrospectively estimate the impact, cost-effectiveness, affordability, and investment returns ...
    Thumbnail

    Computational analysis of antibody dynamics identifies recent HIV-1 infection 

    Seaton, Kelly E.; Vandergrift, Nathan A.; Deal, Aaron W.; Rountree, Wes; Bainbridge, John; Grebe, Eduard; Anderson, David A.; Sawant, Sheetal; Shen, Xiaoying; Yates, Nicole L.; Denny, Thomas N.; Liao, Hua-Xin; Haynes, Barton F.; Robb, Merlin L.; Parkin, Neil; Santos, Breno R.; Garrett, Nigel; Price, Matthew A.; Naniche, Denise; Duerr, Ann C.; The CEPHIA group; Keating, Sheila; Hampton, Dylan; Facente, Shelley; Marson, Kara; Welte, Alex; Pilcher, Christopher D.; Cohen, Myron S.; Tomaras, Georgia D. (American Society for Clinical Investigation, 2018)
    Accurate HIV-1 incidence estimation is critical to the success of HIV-1 prevention strategies. Current assays are limited by high false recent rates (FRRs) in certain populations and a short mean duration of recent infection ...

    Browse

    All of SUNScholarCommunities & CollectionsBy TitleBy AuthorBy AdvisorBy DateBy SubjectBy TypeThis CommunityBy TitleBy AuthorBy AdvisorBy DateBy SubjectBy Type

    My Account

    LoginRegister

    Discover

    Author
    Welte, Alex (2)
    Abu-Raddad, Laith (1)Anderson, David A. (1)Bainbridge, John (1)Cohen, Myron S. (1)Deal, Aaron W. (1)Delva, Wim (1)Denny, Thomas N. (1)Duerr, Ann C. (1)Facente, Shelley (1)... View MoreSubject
    HIV infections -- Prevention (2)
    Antibodies -- Analysis (1)Biochemical markers (1)HIV infections -- Epidemiology (1)... View MoreDate Issued2012 (1)2018 (1)Has File(s)Yes (2)
    Copyright © Stellenbosch University | ISSN-L 2310-7855
    Contact Us