Psychosocial support is a very important component in Gender Based Violence response that provide appropriate care, protection and social integration. Psychological aspects affect thoughts, emotions, behavior, memory, learning ability, perceptions and understanding. While the social aspects have ef...fects on relationships, often shaped by traditions, culture ,values, family and community, but also include one’s status in the community and economic wellbeing. These have different effects on the women, men, boys and girls as victims /survivors and perpetuators.
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An output of a series of workshops on psychosocial support held in 2004-2005 by the Bernard van Leer Foundation and the Coalition on Children Affected by AIDS. Authors Linda Richter, Geoff Foster and Lorraine Sherr discuss the issues surrounding psychosocial care and support for children made vulner...able by the HIV/AIDS pandemic and make recommendations for future priorities and programming directions. Includes the ""Call To Action"" for Toronto 2006.
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Education of children with disabilities in India and Pakistan: An analysis of developments since 2000 | Background paper prepared for the Education for All Global Monitoring Report 2015 | Education for All 2000-2015: achievements and challenges
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Received: 16/11/2013 - Accepted: 23/03/2014 - Published: 27/07/2014
Psychosocial support is a very important component in Gender Based Violence response that provide appropriate care, protection and social integration. Psychological aspects affect thoughts, emotions, behavior, memory, learning ability, perceptions and understanding. While the social aspects have ef...fects on relationships, often shaped by traditions, culture ,values, family and community, but also include one’s status in the community and economic wellbeing. These have different effects on the women, men, boys and girls as victims /survivors and perpetuators.
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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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From raising awareness to building capacity
Meeting Report
World Health Organization, Geneva, Switzerland 16 -18 September 2013