12 research outputs found

    Intimate partner violence as a predictor of marital disruption in rural Rakai, Uganda: a longitudinal study.

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    ObjectivesWe assessed the association between intimate partner violence (IPV) and union disruption (divorce or separation) in the rural Ugandan setting of Rakai District.MethodsWe analyzed longitudinal data collected from April 1999 to June 2006, from 6834 women (15-49 years) living in 50 communities in Rakai. Participants were either officially married, traditionally married or in a consensual union during one or more surveys and completed at least one follow-up survey. The primary outcome was union disruption through divorce or separation from the primary sexual partner.ResultsPast year IPV ranged from 6.49 % (severe physical abuse) to 31.99 % (emotional abuse). Severe physical IPV was significantly associated with divorce/separation, after adjusting for other covariates (aOR = 1.80, 95 % CI 1.01-3.22). Another predictor of union disruption was a woman having two or more sexual partners in the past year (aOR = 8.42, 95 % CI 5.97-11.89). Factors protecting against divorce/separation included an increasing number of co-resident biological children and longer duration of union.ConclusionsIPV, particularly severe physical abuse, is an important risk factor for union disruption. Marital counseling, health education and interventions should address the role of IPV on the wellbeing of women and the stability of couples in Uganda

    Quantifying HIV transmission flow between high-prevalence hotspots and surrounding communities: a population-based study in Rakai, Uganda

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    Background International and global organisations advocate targeting interventions to areas of high HIV prevalence (ie, hotspots). To better understand the potential benefits of geo-targeted control, we assessed the extent to which HIV hotspots along Lake Victoria sustain transmission in neighbouring populations in south-central Uganda. Methods We did a population-based survey in Rakai, Uganda, using data from the Rakai Community Cohort Study. The study surveyed all individuals aged 15–49 years in four high-prevalence Lake Victoria fishing communities and 36 neighbouring inland communities. Viral RNA was deep sequenced from participants infected with HIV who were antiretroviral therapy-naive during the observation period. Phylogenetic analysis was used to infer partial HIV transmission networks, including direction of transmission. Reconstructed networks were interpreted through data for current residence and migration history. HIV transmission flows within and between high-prevalence and low-prevalence areas were quantified adjusting for incomplete sampling of the population. Findings Between Aug 10, 2011, and Jan 30, 2015, data were collected for the Rakai Community Cohort Study. 25 882 individuals participated, including an estimated 75·7% of the lakeside population and 16·2% of the inland population in the Rakai region of Uganda. 5142 participants were HIV-positive (2703 [13·7%] in inland and 2439 [40·1%] in fishing communities). 3878 (75·4%) people who were HIV-positive did not report antiretroviral therapy use, of whom 2652 (68·4%) had virus deep-sequenced at sufficient quality for phylogenetic analysis. 446 transmission networks were reconstructed, including 293 linked pairs with inferred direction of transmission. Adjusting for incomplete sampling, an estimated 5·7% (95% credibility interval 4·4–7·3) of transmissions occurred within lakeside areas, 89·2% (86·0–91·8) within inland areas, 1·3% (0·6–2·6) from lakeside to inland areas, and 3·7% (2·3–5·8) from inland to lakeside areas. Interpretation Cross-community HIV transmissions between Lake Victoria hotspots and surrounding inland populations are infrequent and when they occur, virus more commonly flows into rather than out of hotspots. This result suggests that targeted interventions to these hotspots will not alone control the epidemic in inland populations, where most transmissions occur. Thus, geographical targeting of high prevalence areas might not be effective for broader epidemic control depending on underlying epidemic dynamics. Funding The Bill & Melinda Gates Foundation, the National Institute of Allergy and Infectious Diseases, the National Institute of Mental Health, the National Institute of Child Health and Development, the Division of Intramural Research of the National Institute for Allergy and Infectious Diseases, the World Bank, the Doris Duke Charitable Foundation, the Johns Hopkins University Center for AIDS Research, and the President's Emergency Plan for AIDS Relief through the Centers for Disease Control and Prevention

    Inferring HIV-1 transmission networks and sources of epidemic spread in Africa with deep-sequence phylogenetic analysis

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    To prevent new infections with human immunodeficiency virus type 1 (HIV-1) in sub-Saharan Africa, UNAIDS recommends targeting interventions to populations that are at high risk of acquiring and passing on the virus. Yet it is often unclear who and where these ‘source’ populations are. Here we demonstrate how viral deep-sequencing can be used to reconstruct HIV-1 transmission networks and to infer the direction of transmission in these networks. We are able to deep-sequence virus from a large population-based sample of infected individuals in Rakai District, Uganda, reconstruct partial transmission networks, and infer the direction of transmission within them at an estimated error rate of 16.3% [8.8–28.3%]. With this error rate, deep-sequence phylogenetics cannot be used against individuals in legal contexts, but is sufficiently low for population-level inferences into the sources of epidemic spread. The technique presents new opportunities for characterizing source populations and for targeting of HIV-1 prevention interventions in Africa

    Rheumatic manifestations among HIV positive adults attending the Infectious disease clinic at Mulago hospital

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    Background: Rheumatic manifestations in HIV are common and sometimes the initial presentation of the disease. HIV is now a common infection at the Infectious Disease Clinic, Mulago. The spectrum of jointdiseases seen depend on a number of factors such as, the CD4 count, HLA status and current therapy.Objective: This study included HIV patients from a heterogeneous population and was designed to determine the prevalence and clinical pattern of rheumatic manifestations among these HIV patients.Methods: Four hundred eighty seven patients were screened and 300 HIV positive patients were consecutively recruited into the study, evaluated for rheumatic manifestations and their clinical and laboratory findingsdocumented.Results: The prevalence of rheumatic manifestations was 27% (81of 300). Arthralgias in 19.3% of the study population were commonest finding followed by HIV associated arthritis at 4.3%. The lower limbs were themost commonly affected with the knees (28.8%) and ankles (26.9%) contributing the highest. All patients had a negative anti-nuclear antibody test, with only two having a positive rheumatoid factor test. An association of antituberculosis drugs with joint disease was further highlighted in this study (OR 3.79 95% CI, 1.44 – 9.93). Septic arthritis due to Staphylococcus aureus was rarely observed except when the patients’ level of CD4 + T cells dropped below 200 cells mm3. The mean CD4+ count was 171 cells mm3.Conclusion: Rheumatic manifestations should be considered among HIV positive adults. Arthralgias are common especially in patients using pyrazinamide

    Trends in HIV counseling and testing uptake among married individuals in Rakai, Uganda.

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    BACKGROUND: Despite efforts to promote HIV counseling and testing (HCT) among couples, few couples know their own or their partners' HIV status. We assessed trends in HCT uptake among married individuals in Rakai district, southwestern Uganda. METHODS: We analysed data for 11,268 married individuals aged 15-49 years who were enrolled into the Rakai Community Cohort Study (RCCS) between 2003 and 2009. Married individuals were interviewed separately but were retrospectively linked to their partners at analysis. All participants had serologic samples obtained for HIV testing, and had the option of receiving HCT together (couples' HCT) or separately (individual HCT). Individuals were categorized as concordant HIV-positive if both partners had HIV; concordant HIV-negative if both did not have HIV; or HIV-discordant if only one of the partners had HIV. We used χ2 tests to assess linear trends in individual and couples' HCT uptake in the entire sample and conducted multinomial logistic regression on a sub-sample of 10,712 individuals to assess relative risk ratios (RRR) and 95% Confidence Intervals (95% CI) associated with individual and couples' HCT uptake. Analysis was done using STATA version 11.0. RESULTS: Uptake of couples' HCT was 27.2% in 2003/04, 25.1% in 2005/06, 28.5% in 2006/08 and 27.8% in 2008/09 (χ2 for trend = 2.38; P = 0.12). Uptake of individual HCT was 57.9% in 2003/04, 60.2% in 2005/06, 54.0% in 2006/08 and 54.4% in 2008/09 (χ2 for trend = 8.72; P = 0.003). The proportion of couples who had never tested increased from 14.9% in 2003/04 to 17.8% in 2008/09 (χ2 for trend = 18.16; P < 0.0001). Uptake of couples' HCT was significantly associated with prior HCT (Adjusted [Adj.] RRR = 6.80; 95% CI: 5.44, 8.51) and being 25-34 years of age (Adj. RRR = 1.81; 95% CI: 1.32, 2.50). Uptake of individual HCT was significantly associated with prior HCT (Adj. RRR = 6.26; 95% CI: 4.24, 9.24) and the female partner being HIV-positive (Adj. RRR = 2.46; 95% CI: 1.26, 4.80). CONCLUSION: Uptake of couples' HCT remained consistently low (below 30%) over the years, while uptake of individual HCT declined over time. These findings call for innovative strategies to increase demand for couples' HCT, particularly among younger couples and those with no prior HCT

    Novel community health worker strategy for HIV service engagement in a hyperendemic community in Rakai, Uganda: A pragmatic, cluster-randomized trial.

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    BackgroundEffective implementation strategies are needed to increase engagement in HIV services in hyperendemic settings. We conducted a pragmatic cluster-randomized trial in a high-risk, highly mobile fishing community (HIV prevalence: approximately 38%) in Rakai, Uganda, to assess the impact of a community health worker-delivered, theory-based (situated Information, Motivation, and Behavior Skills), motivational interviewing-informed, and mobile phone application-supported counseling strategy called "Health Scouts" to promote engagement in HIV treatment and prevention services.Methods and findingsThe study community was divided into 40 contiguous, randomly allocated clusters (20 intervention clusters, n = 1,054 participants at baseline; 20 control clusters, n = 1,094 participants at baseline). From September 2015 to December 2018, the Health Scouts were deployed in intervention clusters. Community-wide, cross-sectional surveys of consenting 15 to 49-year-old residents were conducted at approximately 15 months (mid-study) and at approximately 39 months (end-study) assessing the primary programmatic outcomes of self-reported linkage to HIV care, antiretroviral therapy (ART) use, and male circumcision, and the primary biologic outcome of HIV viral suppression (ConclusionsA novel community health worker intervention improved HIV care and ART coverage in an HIV hyperendemic setting but did not clearly improve male circumcision coverage or HIV viral suppression. This community-based, implementation strategy may be a useful component in some settings for HIV epidemic control.Trial registrationClinicalTrials.gov NCT02556957

    Quantifying HIV transmission flow between high-prevalence hotspots and surrounding communities: a population-based study in Rakai, Uganda

    No full text
    Background International and global organisations advocate targeting interventions to areas of high HIV prevalence (ie, hotspots). To better understand the potential benefits of geo-targeted control, we assessed the extent to which HIV hotspots along Lake Victoria sustain transmission in neighbouring populations in south-central Uganda. Methods We did a population-based survey in Rakai, Uganda, using data from the Rakai Community Cohort Study. The study surveyed all individuals aged 15–49 years in four high-prevalence Lake Victoria fishing communities and 36 neighbouring inland communities. Viral RNA was deep sequenced from participants infected with HIV who were antiretroviral therapy-naive during the observation period. Phylogenetic analysis was used to infer partial HIV transmission networks, including direction of transmission. Reconstructed networks were interpreted through data for current residence and migration history. HIV transmission flows within and between high-prevalence and low-prevalence areas were quantified adjusting for incomplete sampling of the population. Findings Between Aug 10, 2011, and Jan 30, 2015, data were collected for the Rakai Community Cohort Study. 25 882 individuals participated, including an estimated 75·7% of the lakeside population and 16·2% of the inland population in the Rakai region of Uganda. 5142 participants were HIV-positive (2703 [13·7%] in inland and 2439 [40·1%] in fishing communities). 3878 (75·4%) people who were HIV-positive did not report antiretroviral therapy use, of whom 2652 (68·4%) had virus deep-sequenced at sufficient quality for phylogenetic analysis. 446 transmission networks were reconstructed, including 293 linked pairs with inferred direction of transmission. Adjusting for incomplete sampling, an estimated 5·7% (95% credibility interval 4·4–7·3) of transmissions occurred within lakeside areas, 89·2% (86·0–91·8) within inland areas, 1·3% (0·6–2·6) from lakeside to inland areas, and 3·7% (2·3–5·8) from inland to lakeside areas
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