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Asia-Pacific Disaster Report 2017
The report looks at the extent and impact of natural disasters across the region and how these intersect with poverty, inequality and the effects of violent conflict. But it also shows how scientific and other advances have increased the potential for building di ...
The report looks at the extent and impact of natural disasters across the region and how these intersect with poverty, inequality and the effects of violent conflict. But it also shows how scientific and other advances have increased the potential for building di ...
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
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Policy Guidance Brief 1
• Climate change has already challenged the agriculture sector in Myanmar by afecting rice yields and livestock production, while disasters such as foods and cyclones have caused massive destruction in rural areas.
• Without adaptation, the long-term consequenc ...
• Climate change has already challenged the agriculture sector in Myanmar by afecting rice yields and livestock production, while disasters such as foods and cyclones have caused massive destruction in rural areas.
• Without adaptation, the long-term consequenc ...
Accessed Sept, 5 2018
Weekly epidemiological record, Relevé épidémiologique hebdomadaire : Vol.93 (2018) No.13
The core of the strategy is the goal for all patients to have better overall care, so that the numbers of deaths and cases of disability are reduced by 50% before 2030. For this to be achieved, four strategic aims will be pursued.
Empower and engage communities,
Ensure safe, effective tre
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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
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It highlights how proven digital innovation can be replicated to curb the spread of COVID-19 in Africa. It also estimates investment required to implement such high impact solutions.
The Minimum Standards and Indicators for Community Engagement were developed through an inter‑agency consultation process that engaged a large number of experts from around the world. UNICEF wishes to acknowledge the contribution of all those that participated, and who share a passion for placing
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This guide is intended to support national governments developing their national deployment and vaccination plans (NDVPs) for COVID-19 vaccines by outlining the roles, needs and opportunities for community health workers (CHWs) to contribute. This note builds on and is structured to align with the G
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Since the start of the pandemic, the region has been hit by multiple natural and biological disasters. At the same time, climate change has continued to warm the world, exacerbating the impacts of many of these disasters. The *Asia-Pacific Disaster Report 2021, *also launched today, shows that the p
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This updated glossary for malaria aims to improve communication and mutual understanding within the scientific community, as well as with funding agencies, public health officials responsible for malaria programmes, and policy-makers in malaria-endemic countries
Since the current crisis erupted in 2013, the Central African Republic (CAR) has received a level of international attention unprecedented in its recent turbulent history. Huge efforts have been made by national government, the United Nations (UN) and external donors, as well as communities and civi
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Vaccines are powerful weapons in the fight against pandemic viruses as shown by responses to both the 2009 H1N1 influenza and the COVID-19 pandemics. However, planning for accessing, allocating and deploying vaccines in a pandemic situation is a complex endeavour, beset with multiple challenges at a
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This study looked at structural risk factors to COVID-19 that existed before the outbreak and may have direct and indirect effects on COVID-19 risk across all the 47 counties in Kenya. These factors are COVID-19 exposure and vulnerability and lack of adaptive capacity to COVID-19.