Frontiers in Public Health | www.frontiersin.org 1 June 2017 | Volume 5 | Article 127
The Toolkit for Child Friendly Spaces in Humanitarian Settings was developed by
the International Federation of the Red Cross and Red Crescent Societies Reference
Centre for Psychosocial Support and World Vision International. The toolkit provides
a set of materials to assist managers and facilit...ators/animators in setting up and
implementing quality Child Friendly Spaces (CFS). These resources have at their core
the protection of children from harm; the promotion of psychosocial well-being; and
the engagement of community and caregiver capacities. The CFS Toolkit includes:
• Activity Catalogue for Child Friendly Spaces in Humanitarian Settings
• Operational Guidance for Child Friendly Spaces in Humanitarian Settings
• Training for Implementers of Child Friendly Spaces in Humanitarian Settings.
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As Uganda builds back from the COVID-19 shock, the Ugandan government is strengthening its commitment to a more gender-inclusive and sustainable economy. This report supports these efforts by describing the gendered impacts of COVID-19 and provides recommendations for Ugandan policy makers and World... Bank Group operations to ensure women’s participation in an inclusive and sustainable recovery. It presents gender-disaggregated data from three main sources: high-frequency phone surveys that track the impacts of the COVID-19 shock: one of Ugandan nationals conducted in June and one of refugees conducted in November 2020; interviews with 28 representatives of government institutions, development partners, and women’s organizations in Kampala and in rural areas; and a review of relevant policy and gray literature on climate change, the green economy, and women’s economic empowerment.
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March 2021
This report presents the key findings of the NFHS-5 survey in Manipur, followed by detailed tables and an appendix on sampling errors. The 2019-21 National Family Health Survey (NFHS-5), the fifth in the NFHS series, provides information on population, health, and nutrition for India and... each state and union territory.
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March 2021
This report presents the key findings of the NFHS-5 survey in Mizoram, followed by detailed tables and an appendix on sampling errors. The 2019-21 National Family Health Survey (NFHS-5), the fifth in the NFHS series, provides information on population, health, and nutrition for India and... each state and union territory.
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March 2021
This report presents the key findings of the NFHS-5 survey in Tripura, followed by detailed tables and an appendix on sampling errors. The 2019-21 National Family Health Survey (NFHS-5), the fifth in the NFHS series, provides information on population, health, and nutrition for India and... each state and union territory.
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March 2021
This report presents the key findings of the NFHS-5 survey in Kerala, followed by detailed tables and an appendix on sampling errors. The 2019-21 National Family Health Survey (NFHS-5), the fifth in the NFHS series, provides information on population, health, and nutrition for India and ...each state and union territory.
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May 2021
This report presents the key findings of the NFHS-5 survey in Telangana, followed by detailed tables and an appendix on sampling errors. The 2019-21 National Family Health Survey (NFHS-5), the fifth in the NFHS series, provides information on population, health, and nutrition for India and... each state and union territory.
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July 2021
This report presents the key findings of the NFHS-5 survey in Meghalaya, followed by detailed tables and an appendix on sampling errors. The 2019-21 National Family Health Survey (NFHS-5), the fifth in the NFHS series, provides information on population, health, and nutrition for India an...d each state and union territory.
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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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Since the discovery of insulin nearly 100 years ago, advances in diabetes treatments and therapies have transformed the lives of people
with diabetes (PwD), notably reducing the daily burden of its management.
Newer technologies, including those driven by artificial intelligence, have the potentia...l to further improve the quality of life of PwD and help
identify and diagnose people at risk of developing Type 2 diabetes and diabetes-related complications early. However, medical and technological advances alone are not enough to fix the diabetes challenge. It is also critical to acknowledge the complexity and the seriousness of diabetes, its impact on the quality of life and well-being of over 32 million PwD in the EU and the financial burden it represents for health systems and society at large.
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Vol. 7, No. 1 (2018) | ISSN 2166-7403 (online) DOI 10.5195/cajgh.2018.295 | http://cajgh.pitt.edu