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Innocenti Digest No. 13
Increasing inclusion of persons with disabilities
Dr Jean-François Trani and Dr Betsy VanLeit
Leonard Cheshire Disability and Inclusive Development Centre, UCL
(2010)
C1
Reflections from disability research using the ICF in Afghanistan and Cambodia | Working Paper Series: No. 11
Also published in Spanish (2013) with the title: Informe sobre la epilepsia en América Latina y el Caribe - ISBN 978-92-75-31776-1
GLOBAL EDUCATION MONITORING REPORT 2017/8
The training manual consists of: (i) Tools for communication, reassurance and comfort for staff working directly with distressed children; (ii) Advice and guidance for staff working with parents and primary care-givers; (iii) Suggestions for ways to support a distressed child. It provides a non-i
...
ntrusive skills set of communication and actions that can be used by staff working with survivors of distressing events. The training programme develops skills for providing physical and emotional comfort by modeling calmness and enables a constructive format through active listening that allows survivors to voice their concerns and needs. It also helps to connect survivors to practical assistance through referral networks and information on positive coping strategies.
The manuals are available in Englisch, French, Spanish, Arabic and German
Additional training aids download directly from the website. https://resourcecentre.savethechildren.net/library/save-children-psychological-first-aid-training-manual-child-practitioners
more
INEE pocket gu ide to inclusive education.
This guide is aimed at anyone working to provide, manage or support education services in emergencies and complements the INEE Minimum Standards.
The Pocket Guide to Inclusive Education outlines useful principles for an inclusive education approach in
...
emergencies and provides advice for planning, implementing and monitoring. The guide also looks at the issue of resistance to inclusion, and highlights ways in which organisations can support their emergency staff to develop more inclusive education responses. Available in Arabic, English, Indonesia, French, Spanish
more
DHS Further Analysis Reports No. 109 - This report documents trends in key child nutrition indicators in Rwanda. Data from the Demographic and Health Surveys (DHS) in 2005, 2010, and 2014-15 were analyzed, disaggregated by selected equity-related variables, and tested for trends. Over the survey per
...
iod, Rwanda had high rates of exclusive breastfeeding, with regional variation. Rates of continued breastfeeding were also high but generally decreased as mother’s education and household wealth increased in all survey years. Complementary feeding practices varied by region, mother’s education, household wealth, urban-rural residence, and sex of the child.
more
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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