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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Indoor residual spraying (IRS) involves applying residual insecticide to potential vector resting sites on the interior surfaces of human dwellings or other buildings. The main aim of IRS is to kill vectors before they are able to transmit pathogens to humans. When carried out correctly, IRS has his...torically been shown to be a powerful intervention to reduce adult vector density and longevity for mosquitoes, sand flies and triatomine bugs and can reduce the transmission of vector-borne diseases.
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Due to the heterogeneous distribution of malaria transmission and its determinants, subnational tailoring (SNT) provides an analytical framework to facilitate the targeting of each population with appropriate intervention packages for maximum impact to inform national strategic planning and prioriti...zation based on resources available. The WHO Global Malaria Programme recommends the use of subnational data on disease epidemiology and other relevant local contextual factors to facilitate the process of SNT. Once the strategies and intervention mixes have been defined, programmes can proceed to the prioritization of
interventions for effective programming, based on available resources
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his profile is part of a series of Climate Risk Country Profiles developed by the World Bank Group (WBG). The country profile
synthesizes most relevant data and information on climate change, disaster risk reduction, and adaptation actions and policies
at the country level. The country profile ser...ies are designed as a quick reference source for development practitioners to better
integrate climate resilience in development planning and policy making.
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HIV Testing and Counselling Guidelines
From raising awareness to building capacity
Meeting Report
World Health Organization, Geneva, Switzerland 16 -18 September 2013
Findings from the People Living with HIV Stigma Index
Journal of Microbiology and Infectious Diseases / 2015; 5 (3): 110-113
JMID, doi: 10.5799/ahinjs.02.2015.03.0187