Overcoming HIV-related stigma and discrimination in health- care settings and beyond
UNAIDS 2017 | REFERENCE
For practitioners in humanitarian and development contexts
The Impact of the Zika Outbreak on Women and Girls in Northeastern Brazil
The objective of this briefis to set outlinkages between food safety and the Sustainable Development Goals(SDGs), to identify priority issues,and to suggest how investments in food safety can help attain SDGs.
Regional Action Plan for HIV in South-East Asia (2017-2021)
Phiri et al. Human Resources for Health (2017) 15:40
DOI 10.1186/s12960-017-0214-3
Level of stunting among Bangladeshi children <5years declined from 51% in 2004 to 36% and underweight from 41% in 2007 to 33% (BDHS 2014). But the decrease in wasting rate is not as expected, which is only from 17% to 14.3 % over last decade. Approximately 3.1 % (BDHS 2014) of under-5 children suffe...ring from SAM only by weight-for-length or height z-score (WHZ) <-3 criterion and estimated to be a total of ~ 450,000. Because, there are no national information on prevalence of SAM using mid upper arm circumference (MUAC) and presence of bipedal oedema in under-5 children, thus the actual number of children suffering from SAM could be much higher than the current estimate.
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A survey of prevention, testing and treatment policies and practices
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The process to develop this "National Traditional Medicine Policy" included a detailed situational analysis of traditional medicine in Liberia and a desk review of relevant documents and the regional policy framework on the alignment of WAHO countries ...policy harmonization.
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The uneven distribution of HIV risks and burdens across populations is a well-substantiated fact, though seldom publicly acknowledged. Gay men and other men who have sex with men, people who inject drugs, sex workers, and transgender women are 24, 24, 13.5, and 49 times more likely to acquire HIV, ...respectively, than other reproductive aged adults (15 years old and older). Globally, new infections among these key populations account for 45% of all new HIV infections. This figure is likely to be an underestimate, given the intense stigma associated with disclosing and reporting acquisition risks for HIV among gay men, people who use drugs, sex workers, and transgender people. In addition, HIV epidemics in the majority of low- and middle-income countries (90 of 120) have concentrated epidemics among key populations. In countries with more broadly generalized epidemics, risks are still not evenly distributed and key populations still shoulder disease burden that is markedly disproportionate.
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Maternal Child Nutrition. 2017;e12478
This paper analyzes individual level and household level determinants of anemia among children and women in Nepal and Pakistan. Applying multivariate modified Poisson models to recent national survey data, we find that the prevalence of anemia was significa...ntly higher among women from the poorest households in Pakistan (adjusted prevalence ratio [95% CI]: 1.10 [1.04–1.17]), women lacking sanitation facilities in Nepal (1.22 [1.12–1.33]), and among undernourished women (BMI < 18.5 kg/m2) in both countries (Nepal: 1.10 [1.00–1.21] and Pakistan: 1.07 [1.02–1.13]). Similarly, children in both countries were more likely to be anemic if stunted (Nepal: 1.19 [1.09–1.30] and Pakistan: 1.10 [1.07–1.14]) and having an anemic mother (Nepal: 1.31 [1.20–1.42] and Pakistan: 1.21 [1.17–1.26]).
https://doi.org/10.1111/mcn.12478
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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 misclassification 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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Expanding access to quality health services through task sharing