PLOS ONE | https://doi.org/10.1371/journal.pone.0210937
February 5, 2019
MSF provides treatment for HIV and tuberculosis (TB) in more than 20 countries around the world. The report Burden sharing or burden shifting? How the HIV/TB response is being derailed examines the situation in nine countries where MSF runs programmes: Central African Republic, Democratic Republic ...of Congo, Eswatini, Guinea, Kenya, Malawi, Mozambique, Myanmar and Zimbabwe. With a focus on the financial resources available, this report highlights the current risks and gaps in HIV and TB service delivery in these countries.
Given the findings of gaps in diagnosis, prevention and care services and dwindling resources, MSF calls for a robust assessment of the needs and the resource capacity of each affected country, and calls on international donors to ensure that the financial burden is shared, rather than shifted onto those countries worst affected by the diseases.
more
Research Article
PLOS ONE | https://doi.org/10.1371/journal.pone.0192791 February 15, 2018
This study aimed to understand the patterns of HIV drug resistance in pregnant women in Mozambique. This might help in tailoring optimal regimens for prevention of mother to child transmission of HIV (pMTCT) and antenatal care.
Dziva Chikwari et al. Implementation Science (2018) 13:70 https://doi.org/10.1186/s13012-018-0762-5
HIV Diagnostics
Information Note
WHO/HIV/2017.16
BMJ,Dodd PJ, et al. Thorax 2017;72:559–575. doi:10.1136/thoraxjnl-2016-209421
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.
more
Choko AT et al. Journal of the International AIDS Society 2017, 20:21610 http://www.jiasociety.org/index.php/jias/article/view/21610 | http://dx.doi.org/10.7448/IAS.20.1.21610
International Journal of Infectious Diseases 46 (2016) 56–60
Unofficial Translation
Approved by the Federal Government on October 20, 2016
The 5 years plan to scale up HIV Testing and Counselling Services in Malawi 2006-2010
Evaluation report November 2014
Lancet Glob Health 2015; 385: e387–95. Open Access