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.
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Reflections and a call for action after a two-year exploration of emergency response in acute conflicts
There is general consensus that the humanitarian sector is failing to mount timely and adequate responses in the acute phase of conflict-related emergencies, according to the two-year Emergen...cy Gap Project by Médecins Sans Frontières (MSF).
The Project has explored what works for or against effective emergency responses. Its final report, Bridging the emergency gap, draws on the Project’s thematic papers and case studies, and consultations with more than 150 senior-level representatives from 60 key organisations across the humanitarian sector.
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DHS Further Analysis Reports No. 111
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delive...ry, and timely postnatal care (PNC).
This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12 regions. We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use. We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.
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Levels and Inequities
DHS Further Analysis Reports No. 110
This study shows large variations in maternal health indicators across high-priority counties in Kenya. Nairobi exceeds the national average on all maternal health indicators in this study, while other highpriority counties consist...ently are disadvantaged compared with Kenya as a whole in most maternal health indicators. Kisumu exceeds the national average in use of antenatal care, delivery in a health facility, and postnatal care, but not other indicators. Nakuru has fewer women with fertility risk and fewer women who report that the distance they must travel to reach a health facility is a problem.
This study identifies a number of inequities in maternal health indicators across socio-demographic characteristics in the high-priority counties—most in the distribution of delivery care and least in antenatal care. Inequities are also observed in fertility risk and postnatal care.
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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...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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There is a substantial and ever-increasing unmet need for rehabilitation worldwide, which is particularly profound in low- and middle
-income countries. The availability of accessible and affordable rehabilitation is necessary for many people with health conditions to remain as independent as possi...ble, to participate in education, to be economically productive, and fulfil meaningful life roles.
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This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delivery, and timely postnatal care (PNC).This s...tudy uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12regions.We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use.We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.
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Public Health Situation Analysis and Interventions 10 October 2017
Key populations brief
Accessed 2017
Key populations brief
Accessed November 2017
Impact Evalution Report 61
Lao People’s Democratic Republic (Lao PDR), also referred to as Laos, or Lao, is exposed to natural disasters such as flooding, typhoons, cyclones, drought, and earthquakes. The country is vulnerable to recurrent, sudden-onset and slow onset natural disasters with flooding, storms and typhoons hav...ing a large effect on the population. The country remains highly vulnerable to agricultural shocks and natural disasters.
Lao has established Community Based Disaster Risk Reduction (CBDRR) practices as a result of the many natural disasters the country faces. CBDRR is implemented at the village level to enhance community preparedness and to decrease village vulnerabilities to disasters.
Lao established the National Disaster Management Committee (NDMC) as its national disaster management platform and the National Disaster Management Office (NDMO) to be responsible for DRM (Disaster Risk Management) and DRR activities in the country.
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Large size: 27 MB. Download directly from the website: https://www.unicef.org/cholera_toolkit/Cholera-Toolkit-2017.pdf
To understand the patterns of Rwanda’s achievements in health development, it is important to explore how Rwanda addresses the Social Determinants of Health (SDH) particularly those related to routine conditions in which people are born, live and work. It is in this particular context that a case ...study on Rwanda’s Performance in Addressing Social Determinants of Health was conducted by the Rwanda Ministry of Health, with technical and financial support from the World Health Organization (WHO). The overall goal of the exercise was to document Rwanda's recent initiatives that contribute to the advancements of the Rio Political Declaration on Social Determinants of Health.
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Health Policy Plan (2017) 32 (5): 603-612; 10 pp. 318 kB