PEPFAR Malawi’s Country Operational Plan 2022 (COP22) embodies joint priorities from national and subnational dialogues building on the 2020-2025 National Strategic Plan for HIV/AIDS. The interagency team has developed a person-centered, district-tailored and Malawi Population-Based HIV Impact Ass...essment (MPHIA)-informed strategy through extensive engagement with Government of Malawi (GoM) and Civil Society Organizations (CSOs) to sustain HIV epidemic control. At the end of COP21, PEPFAR Malawi was commended for contributing to reaching epidemic control in strong collaboration with GoM and stakeholders including the Global Fund to Fight AIDS, Tuberculosis and Malaria (Global Fund). This includes enrollment of 88% of recipients of care on three or more months of antiretroviral treatment (ART), better outcomes for Malawian children through remarkable efforts in Orphans and Vulnerable Children (OVC) programming and progress made towards reaching men with more intentional and focused programming.
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Lancet 2013; 381: 1405–16
Series: Childhood Pneumonia and Diarrhoea no.1
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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Front. Trop. Dis. , 09 May 2023 Sec. Neglected Tropical Diseases Volume 4 - 2023 | https://doi.org/10.3389/fitd.2023.1087003
The Integrated Management of Adolescent/Adult Illness (IMAI) approach
Evaluation report November 2014
В сборнике представлены статьи специалистов в сфере охраны психического здоровья по различным академическим дисциплинам, включая общую медицину, психиатрию, пси...отерапию, психологию, социологию, педагогику, юриспруденцию, экономику, спорт, по материалам Конгресса ≪Психическое здоровье человека XXI века≫, который состоялся 7–8 октября 2016 г. в Москве.
The collection of scientific papers is collected from different areas of scientific knowledge, including general medicine, psychiatry, psychotherapy, psychology, social policy, education, law, economics and sport. The publication contains materials that were delivered to the Organizing Committee of the Congress on Mental Health: Meeting the Needs of the XXI Century. The collection is intended for researchers and practitioners acting in the field of the mental health care.
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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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