Annex 1: Measuring progress towards targets
Annex 2: Modelling the impact of the 90-(90)-90 strategy
Annex 3: Investment packages by country setting
Annex 4: Country strategies
Annex 5: Strategic frameworks for research and development for new tools
Annex 6 : Estimating the cost of the 90-(90)-...90 strategy
Accessed November 2017
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Literature Review on TB Control in Prisons 11/18/2008
Scientific advice
Prevention and control of communicable diseases in prison settings.
Towards a world free of tuberculosis
Update 2021; Immunization, Vaccines and Biologicals
Policy
25 February 2015 Vol 7 Issue 276 276fs8
Eur Respir J 2014; 43: 24–35 | DOI: 10.1183/09031936.00113413
In case of resistance to rifampicin, fluoroquinolones become the preferred category of second-line drugs. Unfortunately, quinolone-resistant strains of Mycobacterium leprae have also been reported in several countries, probably due to the extensive use of quinolones for treating several types of inf...ections. Clofazimine resistance is still rare but this antimicrobial cannot be given alone
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Exposure draft for comment October 2013
The consolidated guidelines are expected to provide the basis and rationale for the development of national guidelines for LTBI management, adapted to the national and local epidemiology of TB, the availability of resources, the health infrastructure and other national and local determinants. The gu...idelines are to be used primarily in national TB and HIV control programmes, or their equivalents in ministries of health, and for other policy-makers working on TB and HIV and infectious diseases. They are also appropriate for officials in other line ministries with work in the areas of health.
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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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