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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Operational Guidelines.
Guidelines for the development of educational programmes for MHM, including tips on the topics to address and methods to assess girls’ practices in a respectful way with practical tools
Extra Curricular Life Skills Training Manual For Adolescents 13 to 18 Years of Age
“Protecting Our Peers From HIV Infection”
The Youth Health and Development Programme Government of the Republic of Namibia and UNICEF Programme of Cooperation 1997-2001
November 1999
Demographic and Health Surveys, Working Paper
Modelling the health impacts of disruptions to essential health services during COVID-19 Module 1
Several epidemiological models have been created to assess the potential impact of disruptions to essential health services caused by COVID-19 on morbidity and mortality from conditions other than COVI...D-19 illness. This guide presents models that have been used to assess these indirect impacts. The effects have been studied in various settings, using a variety of models.
The guide is intended for people who need to understand what the models say, their construction and their underlying assumptions, or need to use models and their outcomes for planning and programme development and to support policy decisions for a country or region.
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Atlas of African Health Statistics 2022: Health situation analysis of the WHO African Region
Since 2019, we have been implementing Phase 2 of the regional Transformation Agenda, which informs and aligns with the global WHO Transformation, to ensure WHO is accountable, driven by re- sults and provid...ing value for money in the pursuit of better health. Our global priority in this period is to contribute to delivering on the triple billion targets of expanding universal health coverage, protecting people from emergencies, and promoting health and well-being for people across the Region.
This year’s Atlas of African Health Statistics is being produced in the context of the COVID-19 pandemic that we have been expe- riencing for over two years. The ongoing coronavirus pandemic, together with other health emergencies in the WHO African Re- gion, is yet again testing the strength and resilience of our health systems. Indeed, the impact of COVID-19 is visible in the disruption of services. The report also presents the latest data for more than 50 health-related indicators of the Sustainable Development Goals and WHO’s “triple billion” targets and provides comprehensive country-level statistics using the results chain of the AFRO frame- work of actions for strengthening health systems to achieve UHC and the health-related SDGs.
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- Module 1: Understanding modelling approaches for sexual, reproductive, maternal, newborn, child and adolescent health, and nutrition
Coronavirus disease 2019 (COVID-19) has a wide range of documented effects. It directly causes death and disability for some people infected. However, disruption to... essential health services, resources allocated to mitigation and therefore away from essential health service delivery, and the overall impact on the economy and society must also be considered within the response to COVID-19. Understanding the magnitude of all of these effects is an essential part of developing mitigation polices.
Several epidemiological models have been created to assess the potential impact of disruptions to essential health services caused by COVID-19 on morbidity and mortality from conditions other than COVID-19 illness. This guide presents models that have been used to assess these indirect impacts. The effects have been studied in various settings, using a variety of models.
The guide is intended for people who need to understand what the models say, their construction and their underlying assumptions, or need to use models and their outcomes for planning and programme development and to support policy decisions for a country or region.
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