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Vol. 10 Issue 13 (2017)
Data received as of July 3, 2017 | WHO and UNICEF estimates of national immunization coverage - next revision available July 15, 2018
The document presents briefly Mozambique's profile on neglected tropical diseases, as well as recommendations on how to control them.
Namibia guideline for submission of applications for registration of pharmaceuticals for human use in common technical document format.
Multidimensional Child Deprivation Trend Analysis in Ethiopia
Plavgo, Ilze, Martha Kibur, Mahider Bitew, Tesfayi Gebreselassie, Yumi Matsuda, and Roger Pearson
ICF International
(2013)
C1
Further Analysis of the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Further Analysis Reports No. 83
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 delivery, 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. more
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 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. more
Food environments are usually defined as the settings with all the different types of
food made available and accessible to people as they go about their daily lives.
That is, the range of food in supermarkets, small retail outlets, wet markets, street
food stalls, coffee shops, tea houses, s
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chool canteens, restaurants, and all the other
venues where people buy and eat food. These environments differ enormously depending on the context. They can be extensive and diverse, with a seemingly endless array of options and price ranges, or they can be sparse, with very few options on offer. Because they determine what food consumers can access at a given moment in time, at what price, and with what degree of convenience, food environments both constrain and prompt the consumer’s choice.Food environments are influenced by the food systems which supply them, and vice versa. Food systems encompass the entire range of activities, people and institutions involved in the production, processing,
marketing, consumption and disposal of food (FAO, 2013). They include but are not limited to food supply chains. Making food systems nutrition-sensitive can contribute to addressing all forms of malnutrition, as food systems determine whether the food needed for good nutrition are available, affordable, acceptable and of adequate
quantity and quality. How closely food systems and food environments are interrelated and interdependent, and the degree to which external factors affect nutrition outcomes, varies from setting to setting.Many of today’s food systems
and food environments are challenged in supporting consumer choices that are
consistent with healthy diets and good nutrition. Consumers are not making choices based on nutrition and health, and poor diet is now the number one risk factor for death and disability worldwide (GBD, 2015). Food systems that do not enable healthy diets are increasingly recognized as an underlying cause of malnutrition (GLOPAN, 2016), and malnutrition, irrespective of form, has a huge cost. Economic costs associated with undernutrition are estimated at $1-2 trillion per year, about 2-3% of global GDP (FAO, 2013); the global economic cost of obesity and associated diet-related non-communicable diseases is estimated at $2 trillion per year, about 2.8% of global GDP (McKinsey, 2014). Influencing food environments for promoting healthy diets is an emerging strategy to address today’s nutrition challenges.
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The Global Burden of Disease Study (GBD) began 30 years ago with the goal of providing timely, valid and relevant assessments of critical health outcomes. Over this period, the GBD has become progressively more granular. The latest iteration provide
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s assessments of thousands of outcomes for diseases, injuries and risk factors in more than 200 countries and territories and at the subnational level in more than 20 countries. The GBD is now produced by an active collaboration of over 8,000 scientists and analysts from more than 150 countries. With each GBD iteration, the data, data processing and methods used for data synthesis have evolved, with the goal of enhancing transparency and comparability of measurements and communicating various sources of uncertainty. The GBD has many limitations, but it remains a dynamic, iterative and rigorous attempt to provide meaningful health measurement to a wide range of stakeholders.
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