<p>*Among adults aged 15–49 years.</p><p>†Uganda 2000–2005.</p><p>‡Kenya 2003–2007.</p><p>a. All assay-derived estimates were weighted to account for unequal probability of selection and adjusted for non-response, where necessary. For the 2007 Kenya estimate, any participant that reported current ARV use was excluded from the incidence analysis.</p><p>b. The Uganda FRR was generated from: (1) pooled data from 699 ARV naive long-term specimens from Rakai (76/473) and rural Tororo districts (28/226) in Uganda that classified as false-recent on the BED assay.</p><p>c. Statistically significant difference observed in assay-derived estimate and the EPP/Spectrum estimate in Uganda 2005.</p><p>d. No data published on community cohort incidence in ...
We analyzed HIV testing rates, prevalence of undiagnosed HIV, and predictors of testing in the Kenya...
BACKGROUND: In Uganda, there have been encouraging reports of reductions in HIV-1 prevalence but not...
OBJECTIVES: To estimate HIV prevalence and characterize risk factors among young adults in Asembo, r...
Several approaches have been used for measuring HIV incidence in large areas, yet each presents spec...
Several approaches have been used for measuring HIV incidence in large areas, yet each presents spec...
BackgroundSeveral approaches have been used for measuring HIV incidence in large areas, yet each pre...
<p>Trends in HIV incidence by estimation method, adults aged 15–49 years, Uganda, 2000–2007.</p
Objectives: Estimating HIV incidence is critical for identifying groups at risk for HIV infection, p...
Because the incidence of human immunodeficiency virus (HIV) infection is difficult to measure direct...
BackgroundEnhanced HIV surveillance using demographic, behavioral, and biologic data from national s...
<p>Adult (15–49) HIV prevalence (A) and annual incidence (B) in Zimbabwe, Kenya, Malawi, and Mozambi...
To estimate HIV prevalence and characterize risk factors among young adults in Asembo, rural western...
Objective Since rapid population growth challenges longitudinal population-based HIV cohorts in Afri...
<p>Percentages and 95% confidence intervals of missed opportunities for HIV testing among ever sexua...
<p>Incidence is given as episodes per 100 person-years of observation (pyo).</p>a<p>HIV status was k...
We analyzed HIV testing rates, prevalence of undiagnosed HIV, and predictors of testing in the Kenya...
BACKGROUND: In Uganda, there have been encouraging reports of reductions in HIV-1 prevalence but not...
OBJECTIVES: To estimate HIV prevalence and characterize risk factors among young adults in Asembo, r...
Several approaches have been used for measuring HIV incidence in large areas, yet each presents spec...
Several approaches have been used for measuring HIV incidence in large areas, yet each presents spec...
BackgroundSeveral approaches have been used for measuring HIV incidence in large areas, yet each pre...
<p>Trends in HIV incidence by estimation method, adults aged 15–49 years, Uganda, 2000–2007.</p
Objectives: Estimating HIV incidence is critical for identifying groups at risk for HIV infection, p...
Because the incidence of human immunodeficiency virus (HIV) infection is difficult to measure direct...
BackgroundEnhanced HIV surveillance using demographic, behavioral, and biologic data from national s...
<p>Adult (15–49) HIV prevalence (A) and annual incidence (B) in Zimbabwe, Kenya, Malawi, and Mozambi...
To estimate HIV prevalence and characterize risk factors among young adults in Asembo, rural western...
Objective Since rapid population growth challenges longitudinal population-based HIV cohorts in Afri...
<p>Percentages and 95% confidence intervals of missed opportunities for HIV testing among ever sexua...
<p>Incidence is given as episodes per 100 person-years of observation (pyo).</p>a<p>HIV status was k...
We analyzed HIV testing rates, prevalence of undiagnosed HIV, and predictors of testing in the Kenya...
BACKGROUND: In Uganda, there have been encouraging reports of reductions in HIV-1 prevalence but not...
OBJECTIVES: To estimate HIV prevalence and characterize risk factors among young adults in Asembo, r...