A Practical Guide for Mental Health Service Providers
Antimicrobial Resistance Surveillance and Research Network | This document contains detail procedures on sample collection, transport, isolation, identification of fungi for the diagnosis of invasive fungal infections and antifungal susceptibility testing of yeast
A consolidated set of reproductive health kits for use by humanitarian agencies. These kits are intended to speed up the provision of appropriate reproductive health services in emergency and refugee situations.
This timely report comes at a decisive moment in history where
we can reshape urban environments and health systems for the
majority of the world’s population that live in cities. Enabling
this transformation are the SDGs, which have reconfigured how
governments and the international community... need to plan and
implement actions to eradicate poverty and inequality, create
inclusive economic growth, preserve the planet and improve
population health. Central to this quest is to create equitable,
healthier cities for sustainable development.
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At present at least 2.2 billion people around the world have a vision impairment, of whom at least 1 billion have a vision impairment that could have been prevented or is yet to be addressed. The world faces considerable challenges in terms of eye care, including inequalities in the coverage and qua...lity of prevention, treatment and rehabilitation services; a shortage of trained eye care service providers; and poor integration of eye care services into health systems, among others. The World report on vision aims to address these challenges and galvanize action.
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The plan contains the latest available evidence on the extent of insecticide resistance around the world, and puts forward a strategy for global and country levels, identifying clear roles and timelines for all stakeholders. The GPIRM also summarizes information about innovative new products being d...eveloped and sets out the immediate research and development priorities.
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Water security, or having the right amount and quality of water in the right place at the right time, fosters social and economic progress. Where water is sufficient to meet demand, it can promote economy wide growth and enable countries to reach their food security, energy security, and human devel...opment goals. Where it is scarce, excessive, or unclean it can exacerbate multiple dimensions of poverty. Neither of these two worlds is protected from future water crises, which are heavily influenced by changing local circumstances
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This Technical Brief focuses on appraising and prioritising options for climate resilience with a view to informing water, sanitation and hygiene (WASH) programme and project design.
This Technical Brief:
- provides a simple scorecard/checklist approach to use as a starting point for appr...aising and prioritising options, and as an awareness-raising activity - covers all aspects of WASH
- has a predominantly rural focus, to align with the rest of the Strategic Framework and Technical Briefs
- focuses on current and near future options over the next 15–20 years, which fits in with WASH programming timescales and development
- includes WASH examples to show how the approach can be applied.
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Sectors in which Priority Adaptation Projects should be implemented first include:
- 1) Agriculture, Early Warning Systems and Forest (First Priority Level Sectors). This is followed by:
- 2) Public Health and Water Resources (Second Priority Level Sectors);
- 3) Coastal Zone (Thir...d Priority Level Sector); and
- 4) Energy and Industry, and Biodiversity (Fourth Priority Level Sectors).
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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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