Learning from the Use of Data, Information, and Digital Technologies in the West Africa Ebola Outbreak Response
Best Practices Guidelines
Accessed: 06.11.2019
Climate change is the single biggest health threat facing humanity, and health professionals worldwide are already responding to the health harms caused by this unfolding crisis.
The Intergovernmental Panel on Climate Change (IPCC) has concluded that to avert catastrophic health impacts and prevent... millions of climate change-related deaths, the world must limit temperature rise to 1.5°C. Past emissions have already made a certain level of global temperature rise and other changes to the climate inevitable. Global heating of even 1.5°C is not considered safe, however; every additional tenth of a degree of warming will take a serious toll on people’s lives and health.
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Census Report Volume 4-E
As no census has been undertaken in over 30 years, many aspects of the demographic situation in the country were unknown. For instance, before the Census it was thought that the country had a population of about 60 million, but the 2014 Census showed that the population... (including an estimate for under-enumeration) was 51,486,253 persons, around 8.5 million less than the previous estimate.
In the 1983 census, 35,307,913 persons were recorded. Therefore between 1983 and 2014, the population increased by 46 per cent. With an average annual population growth rate of 0.89 per cent between 2003 and 2014, Myanmar is one of the slowest growing countries in Southeast Asia.
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Census Report Volume 4-A
This thematic report presents findings on fertility and nuptiality in Myanmar. The analysis hows that the total fertility rate is 2.5 children per woman at the Union level, 1.9 children per woman for urban areas, and 2.8 children per woman for rural areas. Total fertili...ty for States and Regions varies from a high of 5.0 children per woman for Chin State to a low of 1.8 children per woman for Yangon Region. Total fertility appears to have declined at a rate of at least one child per woman per decade between 1970 and 2000. This relatively rapid decline apparently ceased sometime during the 1990s or 2000s. Estimates from the 2001 and 2007 surveys suggest that the level of fertility may have fluctuated between 2000 and 2014, but with no overall trend up or down. The marital status data shows an exceptionally high proportion of women remaining never married at age 50.
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DHS Analytical Studies No. 40
DHS Working Paper No. 136
A total of 1,222 children age 6-23 months were included in this analysis. Twenty percent of children were stunted and 43% were moderately anemic. Regarding IYCF practices, only 16% of children received a minimum acceptable diet, 25% received diverse food groups, 58% were... fed with minimum meal frequency, 85% currently breastfed, and 59% consumed iron-rich foods. Breastfeeding reduced the odds of being stunted. By background characteristics, male sex, perceived small birth size, children of short stature, and children of working mother were significant predictors of stunting. Iron-rich food consumption was inversely associated with moderate anemia. Among covariates, male sex and maternal anemia were also significant predictors of moderate anemia among children age 6-23 months.
The study concluded that stunting and anemia among young children in Myanmar are major public health challenges that need urgent action.
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The Pocket Guide to Managing Contraceptive Supplies addresses one of
the most important components of any program that provides family
planning services—the logistics system that manages the delivery,
quality, and storage of contraceptive supplies. These supplies are
essential; without them, f...amily planning services cannot be provided.
This guide is for the staff of family planning or health clinics who
manage contraceptive supplies and for the supervisor who oversees
these logistics activities. This booklet is not a complete logistics text;
its purpose is to be a quick reference for logistics formulas and
principles to help you manage your supplies (both contraceptives and
other commodities) correctly and efficiently.
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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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The articles in this compendium elaborate on some of the ideas shared at the symposium. Together, they provide a broad view of the dynamic interactions among physical, sexual and brain development that take place during adolescence. They highlight some of the risks to optimal development – includi...ng toxic stress, which can interfere with the formation of brain connections, and other vulnerabilities unique to the onset of puberty and independence. They also point to the opportunities for developing interventions that can build on earlier investments in child development – consolidating gains and even offsetting the effects of deficits and traumas experienced earlier in childhood.
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A manual intended for medical and other personnel responsible for humanitarian activities in armed conflicts. It covers the following topics: setting up a health-care system that meets the essential needs of war victims, particularly of displaced persons; public health tools most frequently used for... evaluation, establishment of priorities, analysis of possible activities and their follow-up; protecting war victims and aspects of humanitarian law related to health; and lastly, ethical problems
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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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Health, safety and wellbeing of the Healthcare workers is a prerequisite for good quality of care and patient satisfaction in health services. Healthcare facilities that are not safe for workers and patients are not resilient to any shock arising from hostile events, outbreaks or any other emergenci...es. Occupational Safety and Health Act (2005) and the National Occupational Safety and Health Policy of Zanzibar require the development of stringent systems for managing occupational safety and health in all workplaces and the health system in general.
These Policy Guidelines have been developed by the Ministry of Health in consultation with the Ministry responsible for Labour and other stakeholders, such as organizations of workers, employers and professional associations in the health sector. The purpose of these guidelines is to foster the implementation of the international commitments and the national legislation regarding decent work in the health system as well as to improve the quality of care and the resilience of health facilities.
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Le cadre de surveillance basé sur les événements est destiné à être utilisé par les autorités et les
agences responsables de la surveillance et de l'intervention. Ce cadre sert de cadre pour guider les
parties prenantes intéressées par la mise en œuvre de la surveillance basée sur le...s événements (SBÈ)
en utilisant une approche multisectorielle axée sur l'approche « Une seule santé ». À cette fin, le
document est organisé en chapitres et annexes interconnectés qui peuvent être modifiés et adaptés,
selon les besoins, par les utilisateurs.
Il s'agit d'une version révisée du « Cadre pour la surveillance basée sur les événements » original qui
a été publié en 2018. Ce cadre ne remplace aucun autre matériel SBÈ disponible, mais s'appuie plutôt
sur des documents pertinents ou connexes existants et sert de guide pratique pour la mise en œuvre
de l'SBÈ en Afrique. Ce cadre est conforme à la troisième édition de l'évaluation externe conjointe de
l'OMS pour les indicateurs suivants : systèmes d'alerte précoce renforcés capables de détecter les
événements importants pour la santé publique et la sécurité sanitaire (indicateur D2.1) ; amélioration
de la communication et de la collaboration entre les secteurs et entre les niveaux d'autorité nationaux,
intermédiaires et locaux d'intervention en matière de santé publique en matière de surveillance des
événements importants pour la santé publique (indicateur D2.2) ; et amélioration de la capacité
d'analyse des données aux niveaux national et intermédiaire ( Indicateur D2.3). Au fur et à mesure
que les pays commenceront à mettre en œuvre et à démontrer la fonctionnalité SBÈ, ils garantiront
une augmentation des scores EEC et des progrès vers le respect des exigences décrites dans l'RSI
(Règlement sanitaire international).
En outre, dans les États membres de l'Union africaine qui ont adopté la Surveillance et réponse
intégrées aux maladies (SRIM), ce document complète et peut améliorer la mise en œuvre de l'SRIM,
en particulier pour la 3e édition (2019) qui inclut des composants liés à l'SBÈ.
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