Guidelines for treatment of drug-susceptible tuberculosis and patient care
Uptsate 2017
Автоматизированная технология амплификации нуклеиновых кислот в режиме реального времени для быстрого и одновременного выявления туберкулеза и устойчивости к р...ифампицину: система Xpert MTB/RIF.
Программное заявление.
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DHS Analytical Studies No. 57
DHS Working Papers No. 82
DHS Working Papers No. 127
This research paper uses the Health Resources and services Availability Mapping System (HeRAMS) database to develop two composite indices – one for health centres and one for hospitals – in order to analyse and assess the health facilities’ performance across time and to evaluate the di...sparities among regions in the Syrian Arab Republic. The indices will provide an evidence-based tool for the main actors in the health sector to identify gaps, to intervene accordingly and to assess the impact of their interventions on the health system. The process of constructing the indices includes description and selection of variables, application of normalization techniques and weighting methods, and sensitivity analysis.
A literature review, analysis of the scope of the HeRAMS database, analysis of the crisis situation, data limitation and expert consultations were the main aspects of the construction process of the indices.
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CBM and the Global Campaign for Education 2014
This consultative version of the guideline is the product of literature reviews, discussions and contributions from diverse stakeholders, as well as UNISDR-nominated experts appointed specifically for the development of the Words into Action guideline for Build back better in recovery, rehabilitatio...n and reconstruction.
Disaster impacted countries and communities are oftentimes much better equipped to Build Back Better during the extended period of recovery, rehabilitation, and reconstruction when they have taken actions to strengthen recovery capacity and decision-making effectiveness prior to the onset of disaster.
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Acute Radiation Syndrome (ARS) (sometimes known as radiation
toxicity or radiation sickness) is an acute illness caused by
irradiation of the entire body (or most of the body) by a high dose
of penetrating radiation in a very short period of time (usually ... a
matter of minutes). The major cause of this syndrome is depletion
of immature parenchymal stem cells in specific tissues. Examples of
people who suffered from ARS are the survivors of the Hiroshima
and Nagasaki atomic bombs, the firefighters that first responded
after the Chernobyl Nuclear Power Plant event in 1986, and some
unintentional exposures to sterilization irradiators.
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"The aim of this book remains as for the first edition, namely to provide an initial point of ready
reference for the identification of hazards and precautions for dangerous chemicals. It is targeted
not only at those in the chemical and process industries, but also anyone likely to work with
che...micals within industry and in the service sector, e.g. hospitals, universities, research laboratories,
engineering, agriculture, etc. "
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A guidebook intended for use by first responders
during the initial phase of a transportation incident
involving dangerous goods/hazardous materials
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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