The National Guidelines for HIV-1 Viral Load Laboratory Testing support plans to scale up viral load (VL) testing to reach the 90-90-90 targets in India. This phased scale-up includes the setup of 70 additional VL testing laboratories nationally. These guidelines include laboratory design considerat...ions, a summary of VL technologies, and specimen collection and handling as well as transportation and storage guidance. Quality control and quality assurance requirements are described as well as laboratory safety issues. The guidelines also describe the VL laboratory network to be developed with supply chain management issues and commodities described. Annexes include laboratory registers and reporting forms.
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A treatment literacy guide for pregnant women and mothers living with HIV
Positive Health, Dignity and Prevention for Women and their Babies is intended for use by networks of women living with HIV, women’s groups, peer educators and others wishing to help guide women living with HIV t...hrough the decisions they will need to take before, during and after their pregnancy. It is not intended as a substitute for going to a health facility and seeking information from a healthcare worker.
The facilitator’s manual and flipchart are intended to be used by leaders of support groups, peer educators or lay counsellors to facilitate small groups or community sessions with women living with HIV. Together, they provide accurate and comprehensive information to enable pregnant women and mothers living with HIV to know their rights and make informed decisions about their health, and the health of their baby.
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Much remains unknown about displaced communities in out-of-camp areas as identification constraints hinder knowledge on the overall situation and preeminent needs of an area. When compared to regularly monitored in-camp populations, less is known about the health, sanitation, livelihoods, food secur...ity, nutritional status, protection situation, and school attainment of out-of-camp populations.
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Good practice examples from India
Cureus 2024 Jan 16;16(1):e52358. doi: 10.7759/cureus.52358
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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Amphetamine-type stimulants, new psychoactive substances
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World Drug Report 2017
Accessed: 14.03.2019
Human Resources for Health Observer Series No. 16
Over the reporting period, economic actors continued to carry out their activities with little regard for their impacts on the livelihoods of the communities living in the surrounding areas. In Doo Tha Htoo (Thaton) District, cold dust from a Tatmadaw-run cement factory contaminated nearby waterways... during the rainy season. As a result, civilians from at least 15 villages faced water shortages. In Mu Traw (Hpapun) and Kler Lwee Htoo districts, gold mining activities damaged forests and polluted water and soils in several village tracts. In both cases, the economic actors involved failed to secure the free, prior and informed consent (FPIC) of the local population, and did not compensate the affected communities for the damage caused.
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