Ce rapport présente les résultats clés de la quatrième Enquête Démographique et de Santé du Bénin (EDSB-IV), qui a été réalisée de décembre 2011 à mars 2012 par l’Institut National de la Statistique et de l’Analyse Économique (INSAE) sous la tutelle du Ministère du Développement..., de l’Analyse Économique et de la Prospective, en collaboration avec les services techniques du ministère de la Santé, le Programme National de Lutte contre le Sida (PNLS), le Laboratoire de Parasitologie du Centre National Hospitalier et Universitaire Hubert Maga (CNHU) et le Laboratoire de référence du Programme National de Lutte contre le Sida et les IST (PNLS). L’EDSB-IV a été financée par le Gouvernement du Bénin, l’Agence des États-Unis pour le Développement International (USAID), le Fonds Mondial, le Fonds des Nations Unies pour l’Enfance (UNICEF), le Fonds des Nations Unies pour la Population (UNFPA) et le Programme Multisectoriel de Lutte contre le Sida (PMLS) par le biais d’un financement de la Banque Mondiale.
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Ce rapport présente les principaux résultats de la quatrième édition de Enquête Démographique et de Santé du Bénin
(EDSB-IV), réalisée de décembre 2011 à mars 2012 par l’Institut National de la Statistique et de l’Analyse
Économique (INSAE) sous la tutelle du Ministère du Dévelo...ppement, de l’Analyse Économique et de la
Prospective, en collaboration avec les services techniques du ministère de la Santé, le Programme National de Lutte
contre le Sida (PNLS), le Laboratoire de Parasitologie du Centre National Hospitalier et Universitaire Hubert Maga
(CNHU) et le Laboratoire de référence du Programme National de Lutte contre le Sida et les IST (PNLS).
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Barriers to the prompt and effective diagnosis and treatment of malaria exist at both the community and health facility level. Household surveys measure malaria case management at the population level with standard indicators that assess treatment-seeking behavior, access to diagnostic testing, and ...access to appropriate treatment. Performance on these indicators varies widely from country to country. Among countries with Demographic and Health Surveys (DHS) or Malaria Indicator Surveys (MIS) completed between 2014 and 2016, advice and treatment was sought for a median of 47% of children under age 5 with fever.
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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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The 2015-16 MDHS is a national sample survey that provides up-to-date information on fertility levels; marriage; fertility preferences; awareness and use of family planning methods; child feeding practices; nutrition; adult and childhood mortality; awareness and attitudes regarding HIV/AIDS; women...s empowerment; and domestic violence. The target groups were women and men age 15-49 residing in randomly selected households across the country. In addition to national estimates, the report provides estimates of key indicators for both urban and rural areas in Myanmar and also for the 15 states and regions.
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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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