Defending Rights
Breaking Barriers
Reaching People with HIV Services
Global Aids Update 2019
A review of prospects for existing antibiotics ad new therapeutics
2021 UNAIDS Global AIDS Update. UNAIDS report shows that people living with HIV face a double jeopardy, HIV and COVID-19, while key populations and children continue to be left behind in access to HIV services
International Journal of Current Research Vol. 10, Issue, 04, pp.68266-68270, April, 2018
ISSN: 0975-833X
In 2017, 3.6 million of the estimated 10 million people with TB worldwide were “missed” by national TB programmes (NTPs). Two thirds of them are thought to access TB treatment of questionable quality from public and private providers who are not engaged by the NTP. The quality of care provided i...n these settings is often not known or substandard. Closing these gaps and ensuring patient-centred care imply that quality-assured and affordable TB services must be made available wherever people choose to seek care.
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The objective of this manual is to guide managers of schistosomiasis and soil-transmitted helminthiases control programmes towards the elimination of these diseases as public health problems informed by evidence generated through monitoring and evaluation of these programmes. The manual complements ...the objectives outlined by the World Health Organization (WHO) in the road map for neglected tropical diseases 2021–2030 (“the road map”) (WHO, 2020a) and the monitoring and evaluation framework (WHO, 2021a), a companion document to the road map.
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Nutrición de menores de 2 de edad
Trachoma is the world’s leading infectious cause of blindness. It is one of 18 neglected
tropical diseases (NTDs) that affect over one billion of the world’s poorest people.
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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