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UNAIDS/WHO Working group
HIV/AIDS and STI surveillance 2015 / Reference
A step-by-step guide for child protection programmes to the design and implementation of KAP survey methods. In particular, this guide will help to strengthen the quality of our research, monitoring and evaluation work, and enable Save the Children to contribute to a step-change in the child protect
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The Health Equity Assessment Toolkit (HEAT) is a software application for use on desktop or laptop computers and mobile devices (minimum screen size of 7.9 inches recommended). It was developed to facilitate the assessment of within-country health inequalities. The Built-in Database Edition, Version
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Part 2 Measurement
Despite improvements in recent years, the prevalence of undernutrition among women and children in Myanmar remains unacceptably high. One in three children are stunted and about 8% are acutely malnourished. Micronutrient deficiencies are common among infants, young children and pregnant women. In fa
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AN ANALYSIS OF UNICEF MICS 3 SURVEY DATA FROM BANGLADESH, LAO PDR, MONGOLIA AND THAILAND
UNICEF’s support for data collection: the Multiple Indicator Cluster Surveys (
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The Burkina Faso Demographic and Health and Multiple Cluster Indicator Survey 2010 (DHS-MICS),
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Massoda Tonye et al. Malar J (2018) 17:156
https://doi.org/10.1186/s12936-018-2284-7
Background: In 2011, the demographic and health survey (DHS) in Cameroon was combined with the multiple indicator
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The intended purpose of this compendium is to provide program managers, organizations, and policy makers with a menu of indicators to better “know their HIV epidemic/know their response” from a gender perspective. The indicators in the compendium are all either part of existing indicators used i
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Report on the nutrition and health situation of Nigeria
Data collection – 13th July to 13th September 2015
Data collection – 13th July to 13th September 2015
A step-by-step guide for child protection programmes to the design and implementation of KAP survey methods.
This year’s MPI results show that more than two-thirds of the multidimensionally poor—886 millionpeople—live in middle-income countries. A further 440 million live in low-income countries. In both groups, data show, simple national averagescan hide enormous inequality inpatterns of povertywith
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