Towards a policy of inclusion
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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The World Health Organization (WHO) endorses the use of population-based prevalence surveys for estimating the prevalence of trachoma. In general, the prevalence of TF in children aged 1–9 years and the prevalence of TT in adults aged ≥ 15 years are measured at the same time in any district bein...g surveyed. This was the approach of the Global Trachoma Mapping Project, which undertook baseline surveys in > 1500 districts worldwide in order to provide the data required to start interventions where needed.
The survey design recommended by WHO is a two-stage cluster random sample survey, which uses probability proportional to size sampling to select 20–30 villages, and random, systematic or quasi-random sampling to select 25–30 households in each of those villages. In most surveys, everyone aged ≥ 1 year living in selected households is examined.
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This toolkit for integrated vector management (IVM) is designed to help national and regional programme managers coordinate across sectors to design and run large IVM programmes.
The toolkit provides the technical detail required to plan, implement, monitor and evaluate an IVM approach. IVM can... be used when the aim is to control or eliminate vector-borne diseases and can also contribute to insecticide resistance management. This toolkit provides information on where vector-borne diseases are endemic and what interventions should be used, presenting case studies on IVM as well as relevant guidance documents for reference.
The diseases that are the focus of this toolkit are malaria, lymphatic filariasis, dengue, leishmaniasis, onchocerciasis, human African trypanosomiasis and schistosomiasis. It also includes information on other viral diseases (Rift Valley fever, West Nile fever, Chikungunya, yellow fever) and trachoma. If other vector-borne diseases appear in a country or area, vector control with an IVM approach should be adopted, as per national priorities.
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A companion to the Child Friendly Schools Manual
WASH in Schools aims to improve the health and learning performance of school-aged children – and, by extension, that of their families – by reducing the incidence of water and sanitation-related diseases. Every child friendly school r...equires appropriate WASH initiatives that keep the school environment clean and free of smells and inhibit the transmission of harmful bacteria, viruses and parasites.
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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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The Lancet Global Health, Vol. 6, No. 10 Published: August 29, 2018
An in-depth analysis of the health-seeking behaviour of patients and health system response in seven countries of the Eastern Mediterranean Region
Die befragten Jugendämter und Fachverbände schildern laut des Berichts einerseits einen guten Ablauf des Verteilverfahrens. Zugleich dokumentiert der Bericht, dass junge Menschen sich der Verteilung noch immer entziehen, untertauchen und sich eigenständig zu Freunden und Verwandten oder in städt...ische Ballungsgebiete begeben. Angaben zur steigenden alltagsrelevanten psychischen Belastung aufgrund von traumatischen Erfahrungen im Herkunftsland und während der Flucht bestätigen auch die Ergebnisse der Online-Befragung durch den Bundesfachverband vom Herbst 2017.
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Brief review of selected topics
The following pages provide a focus on selected areas in relation to neurology. The specialists who contributed the reviews are listed in the Project Team and Partners
Neurology Atlas (2004)
J Mov Disord > Volume 11(2); 2018 > Article
Review Article
J Mov Disord 2018; 11(2): 53-64.
Published online: May 30, 2018
DOI: https://doi.org/10.14802/jmd.17028
Global concerns: Implications for the future
Child Mental Health Atlas
Regional action plan 2019-2023
Defending Rights
Breaking Barriers
Reaching People with HIV Services
Global Aids Update 2019