In line with its decentralization principle, the Ethiopian Health Policy has achieved great progress in improving access to comprehensive HIV/AIDS services to the majority of the population. Both quality and coverage of servi
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ces have improved significantlysince the initiation of the free ART program in 2005. The role of health workforce in general and that of pharmacy professionals assumes a central position in these achievements. To further enhance accessibility and quality of services, capacity buildingof health cadres is critical. Therefore, this comprehensive HIV prevention, care and treatment training material is prepared with the primarily intention to build the capacity of pharmacy professionals at all levels so that they can contribute to the provision of HIV services.
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2nd Generation HIV Surveillance in Pakistan, Round 5
The Overall objective of this mapping study was to update population size estimates of selected key populations (PWID, FSWs, MSM & TGs) to create evidence for developing action plans for HIV prevention interventions in Pakistan. A total numbe
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r of 23 cities/towns were selected for Mapping. This included 13 cities in Punjab province, 6 in Sindh Province and 2 cities each in KPK and Baluchistan provinces.
large file: 70,5 MB The preview/download includes only the pages 1 to 23.
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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
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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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Study Report August 2014
Curatio International Foundation (CIF) and the Association Tanadgoma would like to acknowledge the financial support provided by GFATM under the project “Establishment of evidence base for national HIV/
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AIDS program by strengthening of HIV/AIDS surveillance system in the country” (GEO-H-GPIC), which made this study possible.
The report was prepared by Dr. Ivdity Chikovani, Dr. Natia Shengelia, Lela Sulaberidze (CIF) and Nino Tsereteli (Tanadgoma).
Special thanks are extended to international consultants – Ali Mirzazadeh (MD, MPH, PhD Postdoctoral Scholar, University of California, San Francisco Institute for Health Policy Studies & Global Health Sciences) for his significant contribution in study preparation, protocol and questionnaire design and data analysis and Abu S. Abdul-Quader (PhD, Epidemiologist, Global AIDS Program Centers for Disease Control and Prevention) for his valuable input in refining methodology and overall guidance during the study implementation.
Special thanks are extended to international consultants – Abu S. Abdul-Quader (PhD, Epidemiologist, Global AIDS Program, Centers for Disease Control and Prevention) for his valuable input in refining methodology and overall guidance during the study implementation and Ali Mirzazadeh (MD, MPH, PhD Postdoctoral Scholar, University of California, San Francisco Institute for Health Policy Studies & Global Health Sciences) for his significant contribution in the NSU study preparation, protocol and questionnaire design and data analysis.
Authors appreciate a highly professional work of Tanadgoma staff: the survey coordinator KhatunaKhazhomia; the interviewers: Ketevan Tchelidze, Nino Kipiani, Koba Bitsadze, Kakhaber Akhvlediani, ZazaBabunashvili, Rati Tsintsadze and the social workers: Archil Rekhviashvili, Tea Chakhrakia, Irina Bregvadze, Kakhaber Kepuladze, Ketevan Jibladze and Shota Makharadze for their input in the recruitment process.
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Arunachal Pradesh, Assam, Manipur, Meghalaya, Mizoram, Nagaland, Sikkim, Tripura
This technical document consists of epidemiological profiles (fact-sheets) for States and districts based on information available from multiple data sources including the HIV Sentinel Surveillance (HSS) and the In
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tegrated Biological and Behavioural Surveillance (IBBS). Given the need for focussed prevention efforts in low/high prevalence and vulnerable States/districts, the information presented will be useful for policy makers, program planners at national/State/ district level, researchers, and academicians in identification of areas for priority attention and also to derive meaningful conclusions for programme planning, implementation, monitoring and scale-up. This document will be a quick reference for the HIV/AIDS situation in a State/district, risk and safe behaviour of the high risk groups, their level of knowledge about STIs and HIV/AIDS, experience of violence, HIV testing and ART awareness and exposure to HIV/AIDS prevention.
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For the Fiscal Year 2014-2015, the Health Sector continued to implement interventions and strategies meant to improve the availability, accessibility and utilization of quality healthcare services across public and private health facilities; and to ensure the reduction of the burden of communicable
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and non-communicable diseases in Rwanda. This annual report highlights key achievements registered by the health sector during the Fiscal Year 2014-2015. Achievements are highlighted under three big components: Health Programs, Health Systems Support and Budget Execution.
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