Women and girls have specific needs that are often ignored during crisis. While on the run or while living in shelters, women and girls continue to become pregnant, but they often lack access to basic sexual and reproduc-tive health care. Without assistance by midwifes or access to contraceptives, w...omen and girls are at increased risk of unsafe sex, unwanted pregnancy and unsafe delivery, and are at a higher risk of infection by HIV and other sexually transmitted infections. In addition, displaced women have virtually no access to protection, security, justice, and other services related to gender-based violence (GBV). For these reasons, the delivery of sexual and reproduc-tive health and rights (SRHR) as well as GBV services to conflict-affected communities – most of whom are living in protracted displacement – is a key part of UNFPA’s Women and Girls First Programme (WGF). The initia-tive is a commitment to prevent and respond to violence perpetrated against women and girls in Myanmar, and to realize their sexual and reproductive health and rights.
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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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Examples of small-scale disinfection products for safe drinking water
Journal of Tropical Pediatrics, 2020, 00, 1–5
doi: 10.1093/tropej/fmaa072
Brief Repor
The information provided here can be used to understand the current situation, increase attention to preterm births in Rwanda and to inform dialogue and action among stakeholders. Data can be used to identify the most important risk factors to target and gaps in care in order to identify and impleme...nt solutions for improved outcomes.
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A manual intended for use by Men As Partners (MAP) educators in facilitating workshops on male involvement in reproductive health. Contains a variety of interactive educational activities on such topics as gender and sexuality, male and female sexual health, HIV and AIDS, and other sexually transmit...ted infections, relationships, and violence, as well as general resources for facilitators.
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DHS WORKING PAPERS 2016 No. 126 | DEMOGRAPHIC AND HEALTH SURVEYS
Yemen faces a risk of Famine (IPC Phase 5) given the potential for the recent blockade to resume and drastically limit crucial imports over a prolonged period. A blockade starting in November 2017 severely restricted imports of essential goods, and the temporary re-opening of key ports is set to exp...ire in mid-February.
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Review Article
Granich et al. Int J Virol AIDS 2018, 5:043 DOI: 10.23937/2469-567X/1510043 Volume 5 | Issue 1
Arsenic contaminated tube well water was first detected in Bangladesh in early 1990s. The arsenic comes from naturally arsenic-rich material delivered by the region's river systems, deposited over many years to make up the land of Bangladesh. Arsenic contamination is not caused by tube wells, or by ...irrigation or application of fertilizers.
Today, although 98 per cent of the population uses an improved drinking water source the safe water coverage of Bangladesh is 86 per cent because of arsenic contamination.
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