DHS Comparative Reports No. 42
DHS Working Papers No. 69
This paper uses data from the three Indian National Family Health Surveys (1992-93, 1998-99, 2005-06) to examine how the relationship between household wealth and child mortality evolved during a time of significant ec
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onomic change in India. The main predictor is a new measure of household wealth that captures changes in wealth over time. Outcomes include neonatal mortality, postneonatal mortality, child mortality, and under-five mortality. Multivariate analysis is conducted at the national, urban, rural, and regional levels.
Results indicate that the overall relationship between household wealth and mortality weakened over time, as evidenced by the coefficients for under-five mortality at the national level.
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DHS Further Analysis Reports No. 108 - This report examines levels, trends, and inequalities in maternal health in Rwanda from 2010 to 2014-15 among women age 15-49 with a recent birth. The analysis uses Demographic and Health Survey (DHS) data for 15 key indicators of maternal health: 6 for antenat
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al care, 3 for delivery, 1 for postnatal care, and 5 for barriers to accessing medical care. Levels and trends in these indicators were analyzed overall and by three background characteristics: women’s education, household wealth quintile, and region.
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The GHS Index is intended to be a key resource in the face of increasing risks of high-consequence and globally catastrophic biological events and in light of major gaps in international financing for preparedness. These risks are magnified by a rap
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idly changing and interconnected world; increasing political instability; urbanization; climate change; and rapid technology advances that make it easier, cheaper, and faster to create and engineer pathogens.
Key findings from the study of 195 countries:
• Out of a possible 100 points, the average GHS Index score across 195 countries was 40.2.
• The majority of high- and middle-income countries do not score above 50.
• Action is urgently needed to improve countries’ readiness for high-consequence infectious disease outbreaks.
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Summary Report
Accessed: 19.10.2019
This report covers research conducted on HIV stigma and discrimination using the Stigma Index in the Papua New Guinea provinces of Western Highlands and Chimbu*. When Igat Hope began the project the aim was to conduct interviews in all regions of P
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NG. However, due to funding constraints and organisational capacities, the Stigma Index has only been applied in one region, that is, the Highlands Region. In future, the hope is to gather comparable data from other regions in PNG. Despite the fact that the overall project aims have not yet been achieved, the data contained in this report provides useful information that can be considered as work continues in PNG on HIV-related stigma and discrimination and human rights.
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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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DHS Working Papers No. 88
education, wealth, mobility, employment, and media exposure
dos Santos et al. BMC Public Health 2014, 14:80 http://www.biomedcentral.com/1471-2458/14/80
DHS Working Papers No. 82
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
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. These people experience varying combinations of poor 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
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A Report on the Application of the HIV Stigma index in the Western highlands and Chimbu provinces