"National Disaster Management Guidelines: Management
of Chemical (Terrorism) Disasters (are intended to
focus on all aspects of the disaster management
cycle, including prevention measures such as
surveillance and intelligence, mitigation of direct
and indirect risks, preparedness in terms of
...capacity development of human resources and
infrastructure development, as well as relief,
rehabilitation and reconstruction/recovery."
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Ethiopia met the MDG target for drinking water access with a unique and high degree of success. The magnitude of the country’s success in providing improved drinking water to nearly half of its population in 25 years despite its diversity, size, and challenges cannot be overstated. This case study... documents the progress of the Ethiopian WASH sector from 1990 to 2015, and analyzes the impact of local systems created in Ethiopia to respond to water and sanitation challenges.
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This Manual is primarily intended for community level volunteers trained in Community Based Disaster Risk Management (CBDRM) and CBDRM Practitioners and Professionals.
The year of publication is not specified in the document.
The need for a roadmap for risk assessment stemmed from the lack of standardised and systematic effort to national risk assessment effort to date. The road map details the process, activities necessary for each step and the availability and accessibility of technical and financial resources, and coo...rdination mechanisms for the implementation f a national risk assessment.
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RBC/IHDPC/ EID Division | November 2011 - Ce manuel de procédure vise à
guider les professionnels de soins de santé et des experts en santé publique de différents niveaux du système de santé dans la mise en œuvre de la surveillance renforcée de la méningite cérébrospinale.
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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TEP UP Technical Working Paper
MMWR Morbidity and Mortality Weekly Report December 19, 2014 / 63(50);1205-1206