Whole-genome sequencing (WGS) provides a vast amount of information and the highest possible resolution for pathogen subtyping. The application of WGS for global surveillance can provide information on the early emergence and spread of AMR and further inform timely policy development on AMR control.... Sequencing data emanating from AMR surveillance may provide key information to guide the development of rapid diagnostic tools for better and more rapid characterization of AMR, and thus complement phenotypic methods. This document addresses the applications of WGS for AMR surveillance, including the benefits and limitations of current WGS technologies
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2nd revised edition. Accessed Apri. 17, 2019
Prevention strategies based on scientific evidence working with families, schools, and communities can ensure that children and youth, especially the most marginalized and poor, grow and stay healthy and safe into adulthood and old age. For every dollar ...spent on prevention, at least ten can be saved in future health, social and crime costs.
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Schools are generally the most popular setting for drug-use-
prevention programmes, and are used both by governmental and
non-governmental agencies. This may be for many reasons: ease of
obtaining funding for school drug-use-prevention programmes, the
captive audience, and the popular perception... that drug prevention
should start from schools, or the need to show that action is being
taken to control a serious social problem.
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The study collected data on the impact of HIV-related diseases on income, revenues, economic dependency, consumption, education, health, food security, stigma, discrimination, quality of life, and migration. The study also assessed people living with chronic diseases in order to compare the impact o...f living with HIV/AIDS with the impact of living with a chronic disease.
Stigma, discrimination, and socio-economic exclusion continue to affect the rights and socio-economic opportunities of people living with HIV in Myanmar. Households with a family member who has HIV, have lower incomes, fewer assets and lower home-ownership, compared to households that are not affected by HIV. They also have more household debt, and their families pay a higher rate of interest compared to families not affected by HIV.
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