Handbook of Foodborne Pathogenic Microorganisms and Natural Toxins
Advocacy report March 2011
303100 03/2011 E 1,000
Review Article:
The American Journal of the Medical Sciences 2011;341(6):493–498.]
Shoman et al. Globalization and Health (2017) 13:1 DOI 10.1186/s12992-016-0224-2
DHS ANALYTICAL STUDIES 56
Bangladesh, Cambodia, India, Indonesia, Nepal, Pakistan, Philippines
Drugs, Diagnostics, Vaccines, Preventive Technologies, Research toward a cure, and immune-based and gene therapies in development
Asia-Pacific Human Development Report
Q8.SCOPING QUESTION: In adults and older adolescents with depressive disorder, what is the comparative effectiveness of different formats of psychological treatments?
Technical guidance.
This technical guidance aims to inform policy and practice development specifically related to improving the health of older refugees and migrants within the European Union and the larger WHO European Region. Both ageing and migration are in themselves complex multidimensional p...rocesses shaped by a range of factors at the micro, meso and macro levels over the life-course of the individual, but also with intertwined trajectories. Relevant areas for policy-making include healthy ageing over the life-course, supportive environments, people-centred health and long-term care services, and strengthening the evidence base and research
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The report presents current information (updated to September 2015) on candidate vaccines, therapies and medical devices for Ebola and gives an overview of completed and on-going trials.
Kulkarni et al. The Journal of Headache and Pain (2015) 16:67 DOI 10.1186/s10194-015-0549-x
We systematically reviewed Medline as well as the references of published review articles for relevant studies of adherence to multidrug treatment of both drug-susceptible and drug-resistant TB through February 3, 2018. We included randomized controlled trials (RCTs) as well as prospective and retro...spective cohort studies (CSs) with an internal or external control group that evaluated any adherence intervention and conducted a meta-analysis of their impact on TB treatment outcomes. Our search identified 7,729 articles, of which 129 met the inclusion criteria for quantitative analysis. Seven adherence categories were identified, including DOT offered by different providers and at various locations, reminders and tracers, incentives and enablers, patient education, digital technologies (short message services [SMSs] via mobile phones and video-observed therapy [VOT]), staff education, and combinations of these interventions.
https://doi.org/10.1371/journal.pmed.1002595
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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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PLOS ONE | DOI:10.1371/journal.pone.0133869 July 28, 2015, p.1-16
PLoS Pathogens | www.plospathogens.org 1
February 2012 | Volume 8 | Issue 2 | e100246
Lancet Planet Health 2019; 3: 469–77