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Activity Number:
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459
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 9, 2006 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #305944 |
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Title:
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How Good Is Good Enough? An Investigation of the Effect of Uncertainty in Survey Parameters on Estimates of HIV Prevalence, Guyana 2004
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Author(s):
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Maxine Denniston*+ and Nicole Seguy and Wolfgang Hladik
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Companies:
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Centers for Disease Control and Prevention and Centers for Disease Control and Prevention and Centers for Disease Control and Prevention
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Address:
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4757 Banner Elk Drive, Stone Mountain, GA, 30083,
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Keywords:
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multi-stage sampling ; estimation ; HIV prevalence
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Abstract:
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Implementing a complex sampling design in a limited resource country presents many challenges. In response to a report of high levels of HIV infection, a survey of miners in Guyana was fielded in 2004 using two-stage cluster sampling to estimate HIV prevalence and risk behaviors. Major challenges included constructing first- and second-stage sampling frames, physical inaccessibility of sampled mines, and determining the number of miners present on the day a survey was conducted. This paper investigates the effect on the HIV prevalence estimate of uncertainties in survey parameters resulting from these challenges, such as errors in estimating the number of miners present at specific mines and differing rates of HIV infection in miners who refused testing or those working at inaccessible mines. Results should be useful in planning and interpreting results of future surveys.
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