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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Single TB and HIV Concept Note Albania 2016-2018 27 April 2015
Severe acute respiratory infections treatment centre: practical manual to set up and manage a SARI treatment centre and a SARI screening facility in health care facilities
Globally, the cancer burden is rising, exerting significant strain on
populations and health systems at all levels of income. There are
concerted efforts towards enhancing access to comprehensive
cancer prevention and control initiatives.
This is the story of how an experiment in the north of Ghana changed the health of a nation. How health staff in remote and rural areas are working tirelessly to prevent the deaths of mothers and children. How a radical approach to health research, known as embedded research, has revolutionized how ...the government delivers health services under difficult circumstances.
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Data on the essential building blocks of mental health systems, including mental health
governance, financing, service delivery, human resources and information, are reported. For
mental health planning, it is important to know not only the level of resources in these six areas,
but also how thos...e resources are being organized and utilized. Thus, data on efficiency, access,
equity, linkages with other sectors and respect for human rights are reported as well.
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Obesity and diabetes are affecting the peoples of the Americas at high and increasing rates. National surveys demonstrate that obesity is increasing in prevalence among all age groups; 7% to 12% of children under 5 years old and
one-fi fth of adolescents are obese, while rates of overweight and obe...sity among adults approach 60%. Obesity is the major modifi able risk factor for diabetes.
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The National Integrated Comprehensive Cholera Prevention and Control Plan (2017-2022) outlines Uganda's strategy to reduce cholera cases and mortality by 50% by 2022. The plan focuses on improving access to clean water, sanitation, and hygiene (WASH), strengthening disease surveillance, enhancing ca...se management, and implementing oral cholera vaccination (OCV) in high-risk areas. It emphasizes multi-sectoral collaboration, involving government agencies, NGOs, and local communities to ensure a sustainable response. Key interventions include community engagement, improved health services, and better outbreak preparedness, aiming for long-term cholera elimination in Uganda.
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Over the period 2015 to 2019, scaling up a package of selected nutrition-specific and nutrition sensitive interventions to cover 90 per cent of Sudan would:
- Reduce the under-five mortality rate to 49/1,000 live births
- Reduce the prevalence of stunting to 25 per cent
- Reduce the ...prevalence of wasting (global acute malnutrition – GAM) to 6 per cent
- Increase exclusive breastfeeding to 63 per cent
- Reduce iron deficiency anaemia among pregnant women to 26 per cent.
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