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Census Report Volume 4-L
Myanmar’s 2014 Census enumerated 4.5 million people aged 60 and over and by 2050 Myanmar is projected to have 13 million people in this age group.
Myanmar’s population has aged between 1973 and 2014; while the total population increased at an annual rate of 1....
Myanmar’s 2014 Census enumerated 4.5 million people aged 60 and over and by 2050 Myanmar is projected to have 13 million people in this age group.
Myanmar’s population has aged between 1973 and 2014; while the total population increased at an annual rate of 1....
The Second Economic Development and Poverty Reduction Strategy (EDPRS 2) is a launch into the home straight of our Vision 2020. We are faced with new challenges of ensuring greater self-reliance and...
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 wit...
Results from a High Frequency Cell Phone Survey November 19, 2014
Ebola has substantially impacted all sectors of employment in the Liberian economy, in both affected and non-affected counties, according to the most recent round of mobile phone surveys conducted by the World Bank Group in partnersh...
Results from a High Frequency Cell Phone Survey Round 1
Abstract-The paper precisely and briefly explains the socio-economic challenges of persons with disabilities with focus on Ethiopia. The findings of the paper also indicates that, acros...
Updated version – September 2020
The COVID-19 pandemic is affecting everyone. Globally, millions of people have been infected with the virus, while hundreds of thousands have lost their lives. In Moldova, the pandemic is placing an ever-increasing pressure on the health care and social protectio...
Physical distancing measures are important to reduce COVID-19 transmission. However, when stringently applied, they can result in negative health and socio-economic impacts. This report draws on a r...
Socioeconomic status is associated with differences in risk factors for cardiovascular disease incidence and outcomes, including mortality. However, it is unclear whether the associations between cardiovascular disease and common measures of ... status—wealth and education—differ among high-income, middle-income, and low-income countries, and, if so, why these differences exist. We explored the association between education and household wealth and cardiovascular disease and mortality to assess which marker is the stronger predictor of outcomes, and examined whether any differences in cardiovascular disease by socioeconomic status parallel differences in risk factor levels or differences in management.
The Road to Recovery. This synthesis report is based on three national studies on the evolution of the Ebola epidemic and its impact on Guinea, Liberia and Sierra Leone
The study analyses the intersection of gender with disability issues by combining economic and social analysis across four states in India by using both quantitative and qualitative methods including gender analysis of disability budgets.
