Research Article
Application of Two-level Fractional Factorial Design to Determine and Optimize the Effect of Demographic Characteristics on HIV Prevalence using the 2006 South African Annual Antenatal HIV and Syphilis Seroprevalence data
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 35 - Issue 12 |
| Published: December 2011 |
| Authors: Wilbert Sibanda, Philip Pretorius |
10.5120/4539-6421
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Wilbert Sibanda, Philip Pretorius . Application of Two-level Fractional Factorial Design to Determine and Optimize the Effect of Demographic Characteristics on HIV Prevalence using the 2006 South African Annual Antenatal HIV and Syphilis Seroprevalence data. International Journal of Computer Applications. 35, 12 (December 2011), 15-20. DOI=10.5120/4539-6421
@article{ 10.5120/4539-6421,
author = { Wilbert Sibanda,Philip Pretorius },
title = { Application of Two-level Fractional Factorial Design to Determine and Optimize the Effect of Demographic Characteristics on HIV Prevalence using the 2006 South African Annual Antenatal HIV and Syphilis Seroprevalence data },
journal = { International Journal of Computer Applications },
year = { 2011 },
volume = { 35 },
number = { 12 },
pages = { 15-20 },
doi = { 10.5120/4539-6421 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2011
%A Wilbert Sibanda
%A Philip Pretorius
%T Application of Two-level Fractional Factorial Design to Determine and Optimize the Effect of Demographic Characteristics on HIV Prevalence using the 2006 South African Annual Antenatal HIV and Syphilis Seroprevalence data%T
%J International Journal of Computer Applications
%V 35
%N 12
%P 15-20
%R 10.5120/4539-6421
%I Foundation of Computer Science (FCS), NY, USA
Abstract
A Two-Level Fractional Factorial design was employed to develop and optimize the combination of demographic characteristics that has the greatest effect on the spread of HIV in the South African population. HIV prevalence (dependent variable) was found to be highly sensitive to changes in the mother’s age (15-55years) and level of education (Grades 0-13) (independent variables), using the 2006 South African Annual Antenatal HIV and Syphilis Seroprevalence data.
References
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