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Chapter 7 from the book People's Movements in the 21st Century - Risks, Challenges and Benefits
DHS Working Papers No. 83.
DHS Analytical Studies No. 51
Child Health, Family Planning, Geographic Information, HIV, Malaria, Maternal Health
DHS Working Papers No. 86
DHS Working Papers No. 114
Regional Analysis. WPSAR Vol 7, No 2, 2016 | doi: 10.5365/wpsar.2015.6.4.010
This guide is an introduction on how to integrate logistics management information systems (LMIS) with geographic information systems (GIS). It covers the value of integrating these two systems, the steps in assessing if it is currently viable to link the systems, how to set the linkage, the process...es for using LMIS within a GIS platform, and finally how to sustain the linkage. The aim of this guide is to assist logistics managers, decisionmakers and technical experts in understanding the value of integrating GIS and of the process involved in integrating these two systems.
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In order to better understand the contributing factors of undernutrition in LIFT program areas and the links between child nutritional status and independent variables of programmatic importance to LIFT (such as income, livelihoods, food security, and water, sanitation and hygiene [WASH]), LEARN com...missioned a secondary analysis of nutrition-related data from the 2013 LIFT Household Survey. The purpose of this report is to present the findings of this analysis.
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Based on the Vulnerability Index developed in this review, an estimated 22.7 million persons in Myanmar, or 44% of the population, were found to have some form of vulnerability related to human development and/or exposure to active conflict/violence. These people experience varying combinations of p...oor housing, lack of education, poor educational attainment, lack of access to safe sanitation and improved drinking water, and direct exposure to conflict.
Shan and Ayeyarwady have the largest populations of vulnerable persons, a function of both their size and relative vulnerability in comparison to other States and Regions. Yangon and Shan show the widest variation in vulnerability across townships (in terms of the number of vulnerable persons and their level of vulnerability), followed by Mandalay, Chin and Rakhine.
Original file: 15 MB
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The purpose of Volume 2 is to provide a full set of reference data showing performance over the period of the previous National Health Plan 2001–2010, to provide a baseline against which performance over the next ten years can be measured, and to highlight in greater detail some of the contex...t against which the policies and strategies described in Volume 1 can be understood.
This Part A of Volume 2 provides data and context from a whole-of-country perspective. The data will be useful for provinces and national-level program staff within the National Department of Health to establish benchmarks and targets in the Five-year Strategic Implementation Plans to be developed to support implementation of this Plan. Additionally, this Volume will serve as a reference manual for all health sector stakeholders.
Original file: 77 MB
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Improving the quality of hospital antibiotic use is a major goal of WHO’s global action plan to combat antimicrobial resistance. The WHO Essential Medicines List Access, Watch, and Reserve (AWaRe) classification could facilitate simple stewardship interventions that are widely applicable globally.... We aimed to present data on patterns of paediatric AWaRe antibiotic use that could be used for local and national stewardship interventions.
www.thelancet.com/lancetgh Vol 7 July 2019
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Special Focus on COVID-19
The report provides updated estimates for drinking water, sanitation and hygiene in schools including progress from 2015 to 2019. It highlights the rapid improvement needed to ensure students have access to handwashing facilities with soap and water during the COVID-19 pan...demic, and to meet associated SDG targets by 2030.
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This report is part of the gender and noncommunicable diseases (NCDs) initiative launched by the WHO Regional Office for Europe, which aims to strengthen the response to NCDs through a gender approach. It is part of a series of country profiles and a synthesis report. The country profile of Ukraine ...presents a gender analysis of the WHO STEPwise survey (STEPS) data to support international commitments to reducing the burden of NCDs with evidence and knowledge exchange. A gender analysis of STEPS NCD risk-factor survey data describes how risk factors for chronic diseases differ between and among men and women by exploring and tracking the direction and magnitude of trends in risk factors and accessing services by sociodemographic variables. Important differences hide even in sex-disaggregated data that need to be unpacked through sociodemographic characteristics, because men and women are not homogenous groups. The report also recognizes gaps in evidence and calls for further analysis of the impact of gender-based inequalities.
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High meat consumption, particularly red meat and processed meat, negatively affects our health, while meat production is one of the largest contributors to global warming and environmental degradation. The aim of our study was to explore trends in meat consumption within the UK and the associated ch...anges in environmental impact. We also aimed to identify any differences in intake associated with gender, ethnicity, socioeconomic status, and year of birth.
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In our fourth year of producing The State of Open Humanitarian Data, we can report the highest levels yet for data availability across priority humanitarian operations. These gains can be attributed to the commitment of organizations to sharing and maintaining their data publicly. There was also str...ong demand for data about the world's largest humanitarian crises, from the war in Ukraine to drought and food insecurity in the Horn of Africa.
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