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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Ce rapport présente les résultats préliminaires de la quatrième année de l’ECPSS réalisée en 2016 par l’Agence Nationale de la Statistique et de la Démographie et le Ministère de la Santé et de l’Action Sociale.
The 2018 NDHS is a national sample survey that provides up-to-date information on demographic and health indicators. The sample was selected using a stratified, two-stage cluster design, with enumeration areas (EAs) as the sampling units for the first stage. The second stage was a complete listing o...f households carried out in each of the 1,400 selected EAs. The target groups were women age 15-49 and men age 15-59
in randomly selected households across Nigeria. A representative sample of approximately 42,000 households was selected for the survey. One-third of the households (14,000) were selected for malaria, anaemia, and genotype testing of children age 6-59 months. Also, in the subsample of households selected
for the men’s survey, one eligible woman in each household was randomly selected for additional questions regarding domestic violence. Specifically, information was collected on fertility levels, marriage, fertility preferences, awareness and use of family planning methods, child feeding practices, nutritional status of women and children, adult and childhood mortality, awareness and attitudes regarding
HIV/AIDS, and female genital mutilation. The survey also assessed the nutritional status (according to weight and height measurements) of women and children in these households. In addition to presenting national estimates, the report provides estimates of key indicators for both rural and urban areas, the country’s six geopolitical zones and 36 states, and the Federal Capital Territory (FCT).
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La publication des résultats de l’EDSC-V intervient quelques années seulement après l’échéance en 2015 des Objectifs du millénaire pour le développement (OMD), le lancement de l’Agenda 2065 de l’Union Africaine, de l’Agenda 2030 des Nations Unies pour le Développement Durable, et a...u moment de la finalisation de la
Stratégie nationale de développement de la deuxième génération (2020-2027) dans le cadre de la Vison 2035.Nul doute qu’ils serviront à établir la situation finale ou la situation de référence pour le suivi évaluation des progrès accomplis dans le cadre de ces agendas nationaux et internationaux.
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The LDHS provides an opportunity to inform policy and provide data for planning, implementation, and monitoring and evaluation of national health programs. It is designed to provide up-to-date information on health indicators including fertility levels, sexual activity, fertility preferences, awaren...ess and use of family
planning methods, breastfeeding practices, nutritional status of children, early childhood and maternal mortality, maternal and child health, and awareness and behaviors regarding HIV/AIDS and other sexually transmitted infections. The study also incorporated measurements of HIV, hepatitis B, and hepatitis Cprevalence along with seroprevalence of Ebola virus disease antibodies, the results of which will be included in future addendums. In addition to presenting national estimates, the report provides estimates of key indicators for both rural and urban areas, the country’s 15 counties, and the capital, Monrovia.
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Le Sénégal a réalisé des Enquêtes Démographiques et de Santé (EDS) en 1986, 1992, 1997, 2005, et 2010-2011. Au sortir de l’édition de 2010-2011, notre pays s’est engagé dans la mise en œuvre d’un programme d’enquêtes dont la périodicité de collecte de données est ramenée à un... an (EDScontinue). A la suite de la phase pilote du projet de l’enquête Continue (2012-2017) initiée par l’USAID, le Ministère de l’Economie, du Plan et de la Coopération à travers l’ANSD avec la collaboration du Ministère
de la Santé et de l’Action Sociale, s’est engagé pour pérenniser l’enquête Continue. Ce rapport présente les résultats de la deuxième année de pérennisation (2019).
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The 2019 SLDHS is a national sample survey that provides up-to-date information on demographic and health indicators. The sample was selected using a stratified, two-stage cluster design, with enumeration areas (EAs) as the sampling units for the first stage. The second stage was a complete listing ...of households carried out in each of the 578 selected EAs. The target groups were women age 15-49 and men age 15-59 in
randomly selected households across the country. A representative sample of approximately 13,872 households was selected for the survey. Half of the households (6,936) were selected for biomarker and men’s interview. The men’s survey was conducted in half (50%) of the sample households, and all men age 15-59 in these households were included. In this subsample, one eligible woman in each household was randomly selected to be asked additional questions about domestic violence.
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