World Aids Day, 1. December 2018
Commemorating 30 Years
Accessed: 05.10.2019
Journal of Social Aspects of HIV/AIDS VOL. 13 NO. 1 2016
To link to this article: https://doi.org/10.1080/17290376.2016.1226942
30th World AIDS Day Report
STAR Initiative, Unitaid and World Health Organization December 2018
HIV Treatment and Care
Fact Sheet
July 2018
PLOS ONE | https://doi.org/10.1371/journal.pone.0193145 February 22, 2018 1 / 13
Research Article
PLOS Medicine | DOI:10.1371/journal.pmed.1002253 April 4, 2017
PLOS ONE | https://doi.org/10.1371/journal.pone.0196380 May 15, 2018
PLOS ONE | www.plosone.org 1
January 2014 | Volume 9 | Issue 1 | e86616
Lancet Infect Dis 2022;
22: 222–4
Journal of Tuberculosis Research, 2017, 5, 189-200
Background: In Benin, little is known about the influence of both gender and
HIV-status on diagnostic patterns and treatment outcomes of Tuberc...ulosis
(TB) patients. Objective: To assess whether differences in gender and HIV
status affect diagnostic patterns and treatment outcomes of TB patients. Methods:
Retrospective cohort study of patients registered in 2013 and 2014 in
the three largest TB Basic Management Units in south Benin. Results: Of 2694
registered TB patients, 1700 (63.1%) were male. Case notification rates were
higher in males compared with females (96 vs 53/100,000 inhabitants). The
male to female ratio was 1:1 in HIV positive patients, but was 2:1 among HIV
negative cases. In HIV-positive patients, there were no differences in TB types
between men and women. In HIV-negative patients, there were significantly
higher proportions of females with clinically diagnosed pulmonary TB (p =
0.04) and extrapulmonary TB (p < 0.001). Retreatment TB was 4.65 times
higher amongst males compared with females. For New bacteriologically confirmed
pulmonary TB, no differences were observed in treatment outcomes
between genders in the HIV positive group; but significantly more unfavorable
outcomes were reported among HIV negative males, with higher rates of
failure (p < 0.001) and loss-to-follow up (p = 0.02). Conclusion: The study
has shown that overall TB notification rates were higher in males than in females
in south Benin, with more females co-infected with HIV. Unfavorable outcomes were more common in HIV-negative males.
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Live Life positively
Know your HIV status
Accessed: 03.03.2020
Violence Against Women and HIV/AIDS Prevention and Treatment
Countries are making progress toward the global goal of 95% of people living with HIV knowing their status by 2025. However, considerable gaps remain in achieving these goals globally. Men in high <...span class="attribute-to-highlight medbox">HIV burden settings and men from key populations in all settings are consistently less likely to know their HIV status than women. Globally, 78% of men ages 15 years and older who are living with HIV are aware of their HIV status, compared with 86% of women with HIV of these ages.
Offering HIV testing services, including HIV self-testing, at formal and informal workplaces has emerged as an effective, acceptable and feasible approach for reaching men. A 2018 World Health Organization (WHO) and International Labour Organization (ILO) policy brief provides key guiding principles for HIVST implementation at workplaces. Building on the 2018 policy brief, this brief captures early experience with HIVST implementation at workplaces and discusses emerging approaches of sustainable financing that can be adapted for HIV self-testing at workplaces.
The primary audiences for this policy brief are ministries of health and labour, national HIV programmes, employers’ organizations, workers’ organizations (labour unions), enterprises, implementing partners, including civil society organizations, and health insurance agencies.
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This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential miscl...assification of HIV status through Bayesian latent class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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