Supplement Article
J Acquir Immune Defic Syndr Volume 78, Supplement 1, August 15, 2018 www.jaids.com
Background paper for the Oslo Summit on Education for Development
How safe is our hospital sanitation? An example from a public hospital
The study on refugee economies shows that refugees and former refugees are contributing positively to Zambia’s economy in various ways and have the potential to contribute even further if legal and other obstacles are removed.
The study targeted mainly Congolese, Burundian, Somali, and Rwandan re...fugees as well as former refugees from Rwanda and Angola in urban areas and the two rural refugee settlements, Mayukwayukwa (Kaoma District/Western Province) and Meheba (Kaulumbila District/North-Western Province).
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Clinical Infectious Diseases
1586 - 1594 • CID 2016:62 (15 June) • HIV/AIDS
Developmental disorders
Chapter C.3
This document was prepared in response to a need to review and potentially update the current recommendations for the antibiotic treatment of both inpatient and outpatient management of severe acute malnutrition (SAM). The current recommendations (Table 1) are based on guidelines published in 2013 i...n the WHO Pocketbook for Hospital Care for Children, and the 2013 update on SAM (outpatient management). The global threat of increasing antimicrobial resistance and new data on efficacy and safety profiles requires a re-review of the current evidence to ensure recommendations are the most appropriate. The evidence base for the use of antibiotics in children presenting with uncomplicated SAM has been recently enlarged.
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Knowledge based upon a descriptive literature review of applied research
A Systematic Review and Meta-analysis
Clinical Infectious Diseases® 2016;62(12):1586–94
Background paper for the Oslo Summit on Education for Development.
This paper covers the four topics of the Oslo Summit: investment in education, quality of learning, education in emergencies and girls’ education. Disability continues to be one of the primary causes of educational disadvantage a...nd exclusion,
creating the largest single group of girls and boys who remain out of school. Even in those countries
close to achieving universal primary enrolment, children with disabilities are still not in school,accessing opportunities to meaningful employment and on sustainable routes out of poverty
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The 2017 Global Nutrition Report focuses on 5 key areas and finds that improving nutrition can have a powerful multiplier effect across the SDGs. Indeed, it indicates that it will be a challenge to achieve any SDG without addressing nutrition. The report shows that there is an exciting opportunity t...o achieving global nutrition targets while catalysing other development goals through ‘double duty’ and ‘triple duty’ actions, which tackle malnutrition and other development challenges could yield multiple benefits across the SDGs.
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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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Lessons from a decade of Progress