Further Analysis of the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Further Analysis Reports No. 83
Further analysis of the 2011 Nepal Demographic and Health Survey
Families and Societies Working Paper Series Changing families and sustainable societies: Policy contexts and diversity over the life course and across generations
"This document has been developed for outpatient oncology
facilities to serve as a model for a basic infection
control and prevention plan. It contains policies
and procedures tailored to these settings to meet minimal
expectations of patient protections as described
in the CDC Guide to Infecti...on Prevention in Outpatient
Settings."
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Robust clinical research capacity in low- and middle-income countries is key to stemming the spread of epidemics, according to a new report from the International Vaccines Task Force (IVTF). The report lays out how to develop the political support, financing and coordination required to build this c...apacity as a crucial component of global epidemic preparedness. The IVTF was convened by the World Bank Group (WBG) and the Coalition for Epidemic Preparedness Innovations (CEPI) in October 2017.
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The World Health Organization's Model Disability Survey (MDS) Manual is a tool to help implement the MDS in countries and to improve the quality of the interview process. This manual is intended to provide practical information about the survey instruments and their use during interviews. This manua...l is to be used as a training tool for interviewers when administering the questionnaire.
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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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Project Programs:
A. Medical Care Program
B. Community Health Promotion and Prevention Program
C. Maternal and Child Health Program
Target Population:
228,000 people living within the Mon, Kayah, Kayan, Karen,Shan, Kachin, Pa O, Chin and Arakan areas
Projec...t Duration:January to December 2016
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The Japan Committee for UNICEF (JCU) has for years endeavored to disseminate important information about children in developing countries and UNICEF’s various assistance programmes there, as well as to fundraise to support those programmes. Unprecedented damage caused by the East Japan Earthquake,... however, forced us to ask ourselves what we could do to help, and we wasted no time in contacting UNICEF Headquarters in New York.
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Evaluation report
December 2014
Accessed: 04.10.2019
The data collection process was organized by UCDC Director, Natalia Nizova, and M&E Department Head, Igor Kuzin, and implemented by M&E specialists from oblast AIDS Centers: Zhanna Antonenko, Oksana Gorbachuk, Volodymyr Zahorovskyi (Kiev City); Anna Lopatenko, Irina Kozina, I...ryna Chukhalova, (Dnipropetrovsk); Galina Vysotskaja, Iryna Petrovska, Oleksandr Guzieiev (Mykolayiv). Qualitative data collection as well as a desk review was done by the WB’s local consultants Anna Shapoval, Olesia Trofymenko, Anna Pisotska and Elena Dzyuba.
The report was prepared by a World Bank Task Team led by Iris Semini (seconded to the World Bank until July 2013, and now back with UNAIDS), and concluded by Emiko Masaki and Marelize Görgens (World Bank), with support and guidance provided by Daniel Dulitzky, Paolo Belli, Alejandro Cedeno, Alona Goroshko and Lombe Kasonde. Administrative support was provided by Anna Goodman, Mario Mendez and Uma Balasubramanian. When draft results were ready, an in-country workshop was held where stakeholders provided their inputs. Once a draft report was produced, written comments were received from World Bank colleagues, Son Nam Nguyen, Rosemary Sunkutu and Alona Goroshko.
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The classification of digital health interventions (DHIs) categorizes the different ways in which digital and mobile technologies are being used to support health system needs. Historically, the diverse communities working in digital health—including government stakeholders, technologists, clinic...ians, implementers, network operators, researchers, donors— have lacked a mutually understandable language with which to assess and articulate functionality. A shared and standardized vocabulary was recognized as necessary to identify gaps and duplication, evaluate effectiveness, and facilitate alignment across different digital health implementations. Targeted primarily at public health audiences, this Classification framework aims to promote an accessible and bridging language for health program planners to articulate functionalities of digital health implementations.
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Report
A Project of the Joep Lange Institute July, 2018