Abstract

Background: South Africa implements variations of second generation suveilance surveys to monitor human immunodeficiency virus (HIV) epidemic. Objective: This paper compares HIV estimates from two design variations: take all approach and sub-sampling approach to ascertain if any changes in HIV epidemic are due to methodological changes or inherent evolution of the epidemic. Methods: A multi-stage stratified cluster sample of 1000 census enumerator areas was implemented with 15 households systematically sampled within each census enumerator area. In each household, every member was invited to participate (take all approach). To compare to the previous survey designs, a sub-sampling approach of at most four people from each household was implemented by randomly sampling one person from each age group: Results: HIV estimates were comparable with no systematic pattern. Prevalence estimates were slightly higher 12.2% [11.4% - 13.1%] in the take all compared to 11.6% [10.6% - 12.6%] in the sub-sampling approach. Estimates from sub-sampling approach were more variable. The design effects in the take all approach were also slightly higher than those obtained in the sub-sampling. The overall synthetic measure of homogeneity for both methods was ρ = 0.10. Conclusion: In conclusion, as the household size increases the number of people living with HIV in each household increases thus increasing intraclass correlation. Similarity of resulting HIV estimates is re-assuring. However, the take all approach is more preferable than sub-sampling approach as it allows for detailed analyses of HIV data such as estimating discordance between sexual partners and parent-child pair.

Highlights

  • Reliable data level on human immunodeficiency virus (HIV) and associated determinants at population is crucial in understanding the dynamics of HIV

  • The results of the paper from the take all approach used in the 2012 survey [13] and the sub-sampling design implemented in the previous surveys are compared

  • The findings show that the estimates of HIV are comparable for all key determinants

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Summary

Introduction

Reliable data level on human immunodeficiency virus (HIV) and associated determinants at population is crucial in understanding the dynamics of HIV. Countries with generalized HIV epidemics obtain estimates from surveillance systems such as antenatal care surveillance surveys. Population based second generation surveillance surveys have been used by a number of countries repeatedly to monitor the epidemic of HIV and are considered a gold standard [2] [3]. These surveys address some of the weaknesses that are encountered in antenatal care surveillance surveys [2] [4] and greatly enhance surveillance systems [5]. The take all approach is more preferable than sub-sampling approach as it allows for detailed analyses of HIV data such as estimating discordance between sexual partners and parent-child pair

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