International Journal of Current Research Vol. 10, Issue, 04, pp.68266-68270, April, 2018
ISSN: 0975-833X
This guidance package compiles current facts and key messages about the Ebola outbreak in Liberia to inform activities designed to raise awareness, mobilize communities, and promote safe behaviors to stop the spread of Ebola in Liberia.
This resource will help learners to:
discuss their thoughts and feelings about COVID-19
investigate some of the incredible ways in which people have been responding to this crisis
understand the difference between information, disinformation and misinformation
consider their own ...responses to the pandemic and possible actions that they might take to manage their own wellbeing and support others
consider their own responses to the pandemic and possible actions that they might take to manage their own wellbeing and support others
You can download a resource pack and slide show
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Buruli ulcer (BU), a neglected tropical disease (NTD), is an infection of the skin and subcutaneous tissue caused by Mycobacterium ulcerans. The disease has been documented in many South American, Asian, and Western Pacific countries and is widespread throughout much of Africa, especially in West... and Central Africa.
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Q10: In individuals with psychotic disorders (including schizophrenia) and bipolar disorders are psychoeducation, family interventions and cognitive-behavioural therapy feasible and effective?
The purpose of this document is to stop to irrational use/ over prescription of this reserve/
experimental/ emergency use authorisation drug Remdesivir. For this reason, Joint
Monitoring Group under Chairmanship of DGHS took into consideration findings of the
followi...ng studies to issue this advisory:
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Mende Ebola Guidance Package
“Follow the Voice of Life”
AIDSTAR-One | Case study series October 2011
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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