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WHO launched the Health Inequality Data Repository, the most comprehensive global collection of publicly available disaggregated data and evidence on population health and its determinants. The repo
...
sitory allows for tracking health inequalities across population groups and over time, by breaking down data according to group characteristics, ranging from education level to ethnicity.
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Approximately 80% of the 463 million adults worldwide with diabetes live in low-income and middle-income countries (LMICs). A major obstacle to designing evidence-based policies to improve diabetes outcomes in LMICs is the scarce availability of nationally representative
...
data on the current patterns of treatment coverage. The objectives of this study were to estimate the proportion of adults with diabetes in LMICs who receive coverage of recommended pharmacological and non-pharmacological diabetes treatment; and to describe country-level and individual-level characteristics that are associated with treatment.
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Since 1995, WHO has ensured a consistent approach to national, regional and global TB surveillance by providing standardized definitions, forms and registers for the recording and reporting of individual-level and aggregated data about people diagno
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sed with and treated for TB, which are used worldwide. This standardization has facilitated the regular reporting of TB data to WHO from 215 countries and areas in annual rounds of global TB data collection, with findings published in an annual WHO global TB report since 1997 and data made publicly available via the online WHO global TB database.
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The Noncommunicable Diseases (NCD) Data Portal offers comprehensive data on NCDs such as cardiovascular diseases, cancer, diabetes, and chronic respiratory diseases. It provides country-specific inf
...
ormation on NCD mortality rates, risk factors, and national responses, facilitating analysis and comparison across regions. The portal also includes resources like publications and tools to support global efforts in NCD prevention and control.
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Noncommunicable diseases (NCDs) – chief among them, cardiovascular diseases (heart disease and stroke), cancer, diabetes and chronic respiratory diseases – cause nearly three-quarters of deaths in the world. Their drivers are social, environmental, commercial and genetic, and their presence is g
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lobal. Every year 17 million people under the age of 70 die of NCDs, and 86% of them live in low- and middle-income countries.
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The Core Set of Indicators and respective Indicator Data Sheets aim to pave the way towards a common understanding, greater consistency and comparability across countries and alignment of results chains of German Development Cooperation in the field
...
of health and social health protection with the internationally recognized health systems framework of WHO and International Health Partnership (IHP+).
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Guidelines
UNAIDS/WHO working group on global HIV/AIDS and STI surveillance
August 2015
HIV strategic information for impact
HIV drug resistance , Users Manual
December 2017
Based on the Vulnerability Index developed in this review, an estimated 22.7 million persons in Myanmar, or 44% of the population, were found to have some form of vulnerability related to human development and/or exposure to active conflict/violence. These people experience varying combinations of p
...
oor housing, lack of education, poor educational attainment, lack of access to safe sanitation and improved drinking water, and direct exposure to conflict.
Shan and Ayeyarwady have the largest populations of vulnerable persons, a function of both their size and relative vulnerability in comparison to other States and Regions. Yangon and Shan show the widest variation in vulnerability across townships (in terms of the number of vulnerable persons and their level of vulnerability), followed by Mandalay, Chin and Rakhine.
Original file: 15 MB more
Shan and Ayeyarwady have the largest populations of vulnerable persons, a function of both their size and relative vulnerability in comparison to other States and Regions. Yangon and Shan show the widest variation in vulnerability across townships (in terms of the number of vulnerable persons and their level of vulnerability), followed by Mandalay, Chin and Rakhine.
Original file: 15 MB more
