Volumen 5 / Número 1 , 1025-1028 • http://www.revistabionatura.com
To describe the behavior of Tuberculosis/Human Immunodeficiency Virus co-infection in a cohort of people affected by sensitive Tuberculosis in Ecuador from 01 January 2010 to 31 December 2015. Results: The percentage of co...infected persons reached 11% in the whole period of study, with a range from 8.4% to 12.7%. Male sex shows the highest incidence rate, representing 76.7% at the rate of 1 man for every 3.3 women. The population with the highest incidence of patients is economically active; the age group of 25-34 years reaches 40.1%. The coastal zone of the country reports more than 75% of the coinfected patients. Conclusion: Increased HIV/AIDS screening should be increased for Tuberculosis, with particular emphasis on male sex and enhance the actions in the coastal provinces.
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The Open Infectious Diseases Journal, 2013, 7, (Suppl 1: M6) 54-59
Frontiers in Pediatrics | www.frontiersin.org
1 April 2019 | Volume 7 | Article 159
July 2018
This fourth edition of the Unitaid/WHO market and technology landscape: HIV rapid diagnostic tests for self-testing report summarizes the current HIV testing gap; the challenges facing efforts to scale up; and the potential role HIV self-testing (HIVST) could play to achieve the United... Nation’s 90-90-90 targets. In particular, the report synthesises the existing and emerging market demand and supply of kits.
The information in this report is intended for manufacturers, donors, national programmes, researchers and other global health stakeholders who are exploring the potential role of HIVST.
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“Follow the Voice of Life”
AIDSTAR-One | Case study series October 2011
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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Nabila El-Bassel, PhD Columbia University
@NabilaElBassel #CUGH2018
Accessed: 26.09.2019