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Erratum on the Rwanda Demographic and Health Survay 2010 final report | Date of correction: December 2, 2014 | Correction: Page 84, Table 6.6 - Table 6.6 has been rerun to correct an error in the total wanted fertility rate calculation. The correcte
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d table is shown below. Only the total wanted fertility rate is affected by this change; the total fertility rate remains unchanged.
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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. ... 4 per cent, the population aged 60 and over increased annually by 2.4 per cent. Within the older population, the oldest age group, those over 80 years old, has been growing much faster than those aged 60-79. In 2014, the urban population was slightly older than the rural population. This is the result of a more rapid decline in urban fertility, offset by net migration to urban areas by youth and young adults. more
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. ... 4 per cent, the population aged 60 and over increased annually by 2.4 per cent. Within the older population, the oldest age group, those over 80 years old, has been growing much faster than those aged 60-79. In 2014, the urban population was slightly older than the rural population. This is the result of a more rapid decline in urban fertility, offset by net migration to urban areas by youth and young adults. more
Kulkarni et al. The Journal of Headache and Pain (2015) 16:67 DOI 10.1186/s10194-015-0549-x
An Economist Intelligence Unit briefing paper | The Economist Intelligence Unit (EIU) undertook a study aimed at assessing the degree of commitment of 15 countries within the AsiaPacific region to integrating those with mental illness into their communities. The research was commissioned and funded
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by Janssen Asia Pacific, a division of Johnson & Johnson Pte. Ltd. This report focuses on the results of this benchmarking study, called the Asia-Pacific Mental Health Integration Index. Drawing on lessons from the EIU’s 2014 European Mental Health Integration Index, this edition index compares the level of effort in each of the countries on indicators associated with integrating individuals suffering from mental illness into society. Data for the Index was collected between March and May 2016. The set of 18 indicators were grouped into four categories.
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This paper summarizes the findings for the Latin American and Caribbean countries of the WPA Task Force on Steps, Obstacles and Mistakes to Avoid in the Implementation of Community Mental Health Care. It presents an overview of the provision of ment
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The Government of India is embarking on a mammoth task to prevent COVID-19 spread among communities. The Rapid Evidence Synthesis team received a request to support the planning and development of resources for ensuring preparedness of FLHWs for COVID-19 . The rapid evidence synthesis was conducted
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The findings highlight what we can learn from recent pandemics such that we are prepared for potential scenarios and challenges due to COVID-19. Key issues which decision-makers need to consider, based on available evidence
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Since 2001, several Demographic and Health Surveys (DHS) include HIV
testing. For many countries, in particular in sub-Saharan Africa, DHS are
the only national source of data in general population. Several DHS collect
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urveyed clusters but the sampling method is not
appropriate to derive local estimates: sample size is not large enough for a
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DHS shed new light on HIV epidemics.
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The report “Build back fairer: achieving health equity in the Eastern Mediterranean Region” provides ground breaking insights into the state of health inequities in the Region and urges countrie
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s to take action to address the social determinants of health to reverse the worsening trend of inequity – aggravated by the COVID-19 pandemic, ongoing conflict, mass movements of people, environmental challenges, gender inequities and unemployment.
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Air pollution is a major environmental risk factor and contributor to chronic, noncommunicable diseases (NCDs). However, most public health approaches to NCD prevention focus on behavioural and biomedical risk factors, rather than environmental risk
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factors such as air pollution. This article discusses the implications of such a focus. It then outlines the opportunities for those in public health and environmental science to work together across three key areas to address air pollution, NCDs and climate change: (a) acknowledging the shared drivers, including corporate determinants; (b) taking a ‘co-benefits’ approach to NCD prevention; and (c) expanding prevention research and evaluation methods through investing in systems thinking and intersectoral, cross-disciplinary collaborations.
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Exposure to air pollution has significant adverse health effects, leading to nearly 1 in every 8 deaths globally. Air pollution affects all age groups, from unborn children to older people, in both high- and low-income nations.
Bangladesh Health Facility Survey 2014
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Final Report
Human Resources for Health Observer Series No. 16
Health Systems in Transition. Vol. 5 No.3 2015
