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1
ALGORITHMS FOR HIV CARE AND TREATMENT IN ETHIOPIA, HIVCore Final Report
Kalibala Samuel, Nrupa Jani and Getachew Kassa
United States Agency for International Development (USAID)
(2016)
C1
Engage - TB
WHO/HTM/TB/2015.27
NHSP 2017- 2022 (Final draft)
PLoS ONE 9(6): e99880. doi:10.1371/journal.pone.0099880
Published June 17, 2014
Рекомендации ВОЗ по оказанию дородовой помощи для формирования положительного опыта беременности
Health care workers
M. Smelyanskaya, J. Duncan (The Focus Group Consulting); C. Daniels, et al.
Stop TB Partnership; UNOPS; END TB
(2016)
C1
Key populations brief.
HIV/TB workplace policy and Implementation Strategy
The long-term goal of AIDSFree is to improve the quality and effectiveness of high-impact, evidence-informed HIV and AIDS interventions. This semiannual performance report (SAPR) summarizes AIDSFree's achievements for the period October 1, 2015–March 31, 2016
Zambia National Health Strategic Plan 2017-2021
recommended
n 2015, Member States of the United Nations adopted the 2030 Agenda for Sustainable Development and its accompanying Sustainable Development Goals (SDGs), with the third goal of the agenda focusing on health – good health and well-being. This has the attainment of universal health coverage (UHC) a
...
s its umbrella target. Since then, the WHO Regional Office for Africa has been supporting countries plan, and monitor progress towards this goal. This report represents an analysis of the evidence so far countries are making towards this goal, and includes the effect COVID-19 has had on its attainment so far. It also makes recommendations on how countries can prioritize their health actions post COVID-19, in a manner that allows acceleration of progress towards UHC.
more
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
Final report 2016
