ETD Collection

Permanent URI for this collectionhttps://wiredspace.wits.ac.za/handle/10539/104


Please note: Digitised content is made available at the best possible quality range, taking into consideration file size and the condition of the original item. These restrictions may sometimes affect the quality of the final published item. For queries regarding content of ETD collection please contact IR specialists by email : IR specialists or Tel : 011 717 4652 / 1954

Follow the link below for important information about Electronic Theses and Dissertations (ETD)

Library Guide about ETD

Browse

Filters

20111

Settings

Author: search.filters.author.Akindolani, Omotola OmokunbiSubject: search.filters.subject.Human Immunodeficiency Virus

Search Results

Now showing 1 - 1 of 1
  • No Thumbnail Available
    Item
    Estimating the incidence of acute HIV infection from a single cross-sectional sample
    (2011-09-14) Akindolani, Omotola Omokunbi
    The Human Immunodeficiency Virus (HIV) epidemic is currently one of the greatest challenges and most important health issues in the world. South Africa has one of the fastest growing epidemics in the world therefore reliable estimates of prevalence and incidence are required for understanding the magnitude of the epidemic and improving the methods of prevention. This study examines the estimation of HIV incidence from a cross-section of people, using one of the laboratory methods that discover recent HIV infection in blood samples. The incidence estimate is obtained at a single point in time, thereby saving time and cost expended in following a cohort over a period of time. It also examines incidence from pooled blood samples, and evaluates the assumptions of the different methods of estimating HIV incidence, comparing each of them; and checking the sensitivity of the estimates to the assumptions. Results from the simulation study shows that accurate estimates of incidence can be obtained by pooling blood samples; and these estimates are obtained at a fraction of the cost of individual testing.