Health Workers and Health Facilities under Attack 2015, and Early 2016
BMC Medicine201614:112 DOI: 10.1186/s12916-016-0660-0
The Impact of the Zika Outbreak on Women and Girls in Northeastern Brazil
Weekly epidemiological record/ Relevé épidémiologique hebdomadaire 4 AUGUST 2017, 92th YEAR / 4 AOÛT 2017, 417-436
A companion to the Child Friendly Schools Manual
WASH in Schools aims to improve the health and learning performance of school-aged children – and, by extension, that of their families – by reducing the incidence of water and sanitation-related diseases. Every child friendly school r...equires appropriate WASH initiatives that keep the school environment clean and free of smells and inhibit the transmission of harmful bacteria, viruses and parasites.
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This guidance has been developed in line with the WHO corporate risk management framework, the WHO business continuity and contingency plans, as well as the Inter-Agency Emergency Response Preparedness Framework. It is based on a common organiza-tional approach and procedures for managing including ...emergency response across all hazards and at each level of the Organization. It relates WHO’s responsibilities (1) under the International Health Regulations (2005) and the Sendai Framework for Disaster Risk Reduction 2015-2030, and other international treaties; (2) as the United Nations’ lead agency for health and the health cluster; and (3) as a member of the United Nations or Humanitarian Country Teams
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Scoping Question: For adults and children living with HIV, which antiepileptic medications (such as phenobarbital, phenytoin, carbamazepine or valproic acid) produce benefits and/or harms when compared to a placebo or controls?
Socioeconomic status is associated with differences in risk factors for cardiovascular disease incidence and outcomes, including mortality. However, it is unclear whether the associations between cardiovascular disease and common measures of socioeconomic status—wealth and education—differ among... high-income, middle-income, and low-income countries, and, if so, why these differences exist. We explored the association between education and household wealth and cardiovascular disease and mortality to assess which marker is the stronger predictor of outcomes, and examined whether any differences in cardiovascular disease by socioeconomic status parallel differences in risk factor levels or differences in management.
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1.Orthopedics - education 2.Prostheses and implants - utilization 3. Orthotic devices - utilization 4.Developing countries 5.Guidelines 6.Teaching materials I.World Health Organization II.International Society for Prosthetics and Orthotics
Introduction
Chapter A.14