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FOLLOW-UP TO THE 2011 POLITICAL DECLARATION ON HIV/AIDS: INTENSIFYING EFFORTS TO ELIMINATE HIV/AIDS | Reporting Period: January – December 2014
Data from the 2011 Ethiopia Demographic and Health Survey
Multidimensional Child Deprivation Trend Analysis in Ethiopia
Plavgo, Ilze, Martha Kibur, Mahider Bitew, Tesfayi Gebreselassie, Yumi Matsuda, and Roger Pearson
ICF International
(2013)
C1
Further Analysis of the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Further Analysis Reports No. 83
Further Analysis of the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Further Analysis Reports No. 80
DHS Working Papers No. 98.
Sexual and Reproductive Health of Adolescents and Youth In Nepal: Trends and Determinants
Khatiwada N., Silwal P.R., Bhadra R., and Tamang T.M.
Nepal Ministry of Health and Population, New ERA, and ICF International
(2013)
C2
Further analysis of the 2011 Nepal Demographic and Health Survey
Chapter 2 in "Latest Findings in Intellectual and Developmental Disabilities Research" Edited by Üner Tan, ISBN 978-953-307-865-6, 404 pages, Publisher: InTech, Chapters published February 15, 2012 under CC BY 3.0 license | Intellectual and Developmental Disabilities presents reports on a wide rang
...
e of areas in the field of neurological and intellectual disability, including habitual human quadrupedal locomotion with associated cognitive disabilities, Fragile X syndrome, autism spectrum disorders, Down syndrome, and intellectual developmental disability among children in an African setting. Studies are presented from researchers around the world, looking at aspects as wide-ranging as the genetics behind the conditions to new and innovative therapeutic approaches. (All chapters available online: https://www.intechopen.com/books/latest-findings-in-intellectual-and-developmental-disabilities-research)
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Pan African Medical Journal 2017;27:215. doi: 10.11604/pamj.2017.27.215.12994
Recent Trends in HIV-Related Knowledge and Behaviors in Rwanda, 2005-2010: Further Analysis of the Demographic and Health Surveys.
Hong, Rathavuth, Jean de Dieu, Jeanine Umutesi Condo, Muhayimpundu Ribakare, and Egidie Murekatete
Calverton, Maryland, USA: ICF International
(2013)
C2
DHS Further Analysis Reports No. 89 - The 2010 Rwanda Demographic and Health Survey shows that 3 percent of Rwandan adults age 15-49 have been infected with HIV. The prevalence was much higher in urban areas, among women, and among adults who had multiple lifetime sexual partners and used a condom a
...
t last sexual intercourse. The
level of and differences in HIV prevalence in Rwanda in 2010 are very similar to those observed in 2005. Using data from the two recent Rwanda Demographic and Health Surveys, implemented in 2005 and
2010, this study examined changes in key HIV-related knowledge, attitudes, and sexual behavior indicators. Significant changes in selected indicators during 2005 and 2010 were determined by Student ttest with p-values less than 0.05.
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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
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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 Essential WASH Actions toolkit expands the connection between WASH and nutrition. This resource offers a comprehensive set of essential WASH actions, references training materials for health workers, nutrition managers and community workers to build capacity, and outlines accompanying behaviors
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needed to support the Essential Nutrition Actions.
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