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Demographic, socioeconomic and behavioural characteristics of HIV-positive participants aged 15–64 in urban Ethiopia.</p
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IntroductionAchieving optimal HIV outcomes, as measured by global 90‐90‐90 targets, that is awareness of HIV‐positive status, receipt of antiretroviral (ARV) therapy among aware and viral load (VL) suppression among those on ARVs,... more
IntroductionAchieving optimal HIV outcomes, as measured by global 90‐90‐90 targets, that is awareness of HIV‐positive status, receipt of antiretroviral (ARV) therapy among aware and viral load (VL) suppression among those on ARVs, respectively, is critical. However, few data from sub‐Saharan Africa (SSA) are available on older people (50+) living with HIV (OPLWH). We examined 90‐90‐90 progress by age, 15–49 (as a comparison) and 50+ years, with further analyses among 50+ (55–59, 60–64, 65+ vs. 50–54), in 13 countries (Cameroon, Cote d'Ivoire, Eswatini, Ethiopia, Kenya, Lesotho, Malawi, Namibia, Rwanda, Tanzania, Uganda, Zambia and Zimbabwe).MethodsUsing data from nationally representative Population‐based HIV Impact Assessments, conducted between 2015and 2019, participants from randomly selected households provided demographic and clinical information and whole blood specimens for HIV serology, VL and ARV testing. Survey weighted outcomes were estimated for 90‐90‐90 targets. Cou...
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Distribution of self-reported HIV testing coverage by region among HIV-positive participants aged 15–64 years, 2017–18.</p
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Factors associated with weighted unawareness status among HIV-positive participants aged 15–64 years, EPHIA 2017/2018.</p
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HIV-positive status by history among HIV-positive participants aged 15–64 years in urban Ethiopia, EPHIA 2017–2018.</p
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ARV adjusted estimates of unawareness by socio demographic and behavioral characteristics among HIV-positive participants aged 15–64 years, EPHIA 2017/2018.</p
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Background The HIV epidemic in Ethiopia is concentrated in urban areas. Ethiopia conducted a Population-based HIV Impact Assessment (EPHIA) in urban areas between October 2017 and April 2018 to measure the status of the country’s response... more
Background The HIV epidemic in Ethiopia is concentrated in urban areas. Ethiopia conducted a Population-based HIV Impact Assessment (EPHIA) in urban areas between October 2017 and April 2018 to measure the status of the country’s response to the epidemic. Methods We conducted field data collection and HIV testing in randomly selected households using the national, rapid testing algorithm with laboratory confirmation of seropositive samples using a supplemental assay. In addition to self-report on HIV diagnosis and treatment, all HIV-positive participants were screened for a set of HIV antiretroviral (ARV) drugs indicative of the first- and second-line regimens. We calculated weighted frequencies and 95% confidence intervals to assess regional variation in participants’ level of unawareness of their HIV-positive status (adjusted for ARV status). Results We interviewed 20,170 survey participants 15–64 years of age, of which 19,136 (95%) were tested for HIV, 614 (3.2%) tested positive,...
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Introduction: Youth (adolescents and young adults) aged 15-24 years comprise approximately 22% of Ethiopia’s total population and make up 0.73% of HIV cases in urban Ethiopia. However, only 63% of HIV-positive youth are aware of their HIV... more
Introduction: Youth (adolescents and young adults) aged 15-24 years comprise approximately 22% of Ethiopia’s total population and make up 0.73% of HIV cases in urban Ethiopia. However, only 63% of HIV-positive youth are aware of their HIV status. We described the HIV testing behaviors of youth 15-24 years and determined the characteristics of those who were most likely to be tested for HIV within the past year. Methods: Using data from the 2017-2018 Ethiopia Population-based HIV Impact Assessment, we provide survey-weighted estimates and prevalence risk ratios for engagement in HIV testing in the 12 months preceding the survey. We model the likelihood of HIV testing one year or more before the survey compared to never testing, using a multinomial logistic regression model. Results: Among HIV-negative and unaware HIV-positive youth 15-24 years old (N=7,508), 21.8% [95% Confidence Interval (CI): 20.4-23.3%] reported testing for HIV in the last 12 months. Female youth [Prevalence Ratio...
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Background: Many researches have shown that insecticide treated bed nets (ITNs) are the most cost effective way of preventing malaria and WHO roll back malaria program emphasizes the use of ITNs as one of the key malaria control measures.... more
Background: Many researches have shown that insecticide treated bed nets (ITNs) are the most cost effective way of preventing malaria and WHO roll back malaria program emphasizes the use of ITNs as one of the key malaria control measures. Objectives: To evaluate the ability and willingness to pay for ITN in the rural community, asses ITN's utilization and influencing factors in Arbaminch Zuria District. Methodology: This study was a quantitative cross- sectional community based study in randomly selected malarious kebeles of Arbaminch zuria district of GammoGofa zone, SNNPR. Four rural Kebeles were selected using simple random sampling from the district. The study tool was a pretested interview administered structured questionnaire. A total of 982 head of households were interviewed. To assess willingness to pay, contingent valuation using binary with follow-up method was used. Result: The mean number of net per household was 0.6 and for those who possess at least one bed net, t...
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Background: HIV-1 incidence calculation currently includes recency classification by HIV-1 incidence assay and unsuppressed viral load (VL ≥ 1000 copies/mL) in a recent infection testing algorithm (RITA). However, persons with recent... more
Background: HIV-1 incidence calculation currently includes recency classification by HIV-1 incidence assay and unsuppressed viral load (VL ≥ 1000 copies/mL) in a recent infection testing algorithm (RITA). However, persons with recent classification not virally suppressed and taking antiretroviral (ARV) medication may be misclassified. Setting: We used data from 13 African household surveys to describe the impact of an ARV-adjusted RITA on HIV-1 incidence estimates. Methods: HIV-seropositive samples were tested for recency using the HIV-1 Limiting Antigen (LAg)-Avidity enzyme immunoassay, HIV-1 viral load, ARVs used in each country, and ARV drug resistance. LAg-recent result was defined as normalized optical density values ≤1.5. We compared HIV-1 incidence estimates using 2 RITA: RITA1: LAg-recent + VL ≥ 1000 copies/mL and RITA2: RITA1 + undetectable ARV. We explored RITA2 with self-reported ARV use and with clinical history. Results: Overall, 357 adult HIV-positive participants were...
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Background: Identifying men living with HIV in sub-Saharan Africa (SSA) is critical to end the epidemic. We describe the underlying factors of unawareness among men aged 15–59 years who ever tested for HIV in 13 SSA countries. Methods:... more
Background: Identifying men living with HIV in sub-Saharan Africa (SSA) is critical to end the epidemic. We describe the underlying factors of unawareness among men aged 15–59 years who ever tested for HIV in 13 SSA countries. Methods: Using pooled data from the nationally representative Population-based HIV Impact Assessments, we fit a log-binomial regression model to identify characteristics related to HIV positivity among HIV-positive unaware and HIV-negative men ever tested for HIV. Results: A total of 114,776 men were interviewed and tested for HIV; 4.4% were HIV-positive. Of those, 33.7% were unaware of their HIV-positive status, (range: 20.2%–58.7%, in Rwanda and Cote d’Ivoire). Most unaware men reported they had ever received an HIV test (63.0%). Age, region, marital status, and education were significantly associated with HIV positivity. Men who had HIV-positive sexual partners (adjusted prevalence ratio [aPR]: 5.73; confidence interval [95% CI]: 4.13 to 7.95) or sexual par...
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The health problems of adults have been neglected in many developing countries, yet many studies in these countries show high rates of premature mortality in adults. Measuring adult mortality and its cause through verbal autopsy (VA)... more
The health problems of adults have been neglected in many developing countries, yet many studies in these countries show high rates of premature mortality in adults. Measuring adult mortality and its cause through verbal autopsy (VA) methods is becoming an important process for mortality estimates and is a good indicator of the overall mortality rates in resource-limited settings. The objective of this analysis is to describe the levels, distribution, and trends of adult mortality over time (2008-2013) and causes of adult deaths using VA in Kersa Health and Demographic Surveillance System (Kersa HDSS). Kersa HDSS is a demographic and health surveillance and research center established in 2007 in the eastern part of Ethiopia. This is a community-based longitudinal study where VA methods were used to assign probable cause of death. Two or three physicians independently assigned cause of death based on the completed VA forms in accordance with the World Health Organization's Intern...
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The design and evaluation of national HIV programs often rely on aggregated national data, which may obscure localized HIV epidemics. In Ethiopia, even though the national adult HIV prevalence has decreased, little information is... more
The design and evaluation of national HIV programs often rely on aggregated national data, which may obscure localized HIV epidemics. In Ethiopia, even though the national adult HIV prevalence has decreased, little information is available about local areas and subpopulations. To inform HIV prevention efforts for specific populations, we identified geographic locations and drivers of HIV transmission. We used data from adults aged 15–64 years who participated in the Ethiopian Population-based HIV Impact Assessment survey (October 2017–April 2018). Location-related information for the survey clusters was obtained from the 2007 Ethiopia population census. Spatial autocorrelation of HIV prevalence data were analyzed via a Global Moran’s I test. Geographically weighted regression analysis was used to show the relationship of covariates. The finding indicated that uncircumcised men in certain hotspot towns and divorced or widowed individuals in hotspot woredas/towns might have contribute...