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The webpage presents a case study on the use of artificial intelligence (AI) in global early warning systems as part of the United Nations’ “Early Warnings for All” (EW4All) initiative. The initiative aims to ensure that everyone worldwide is protected by effective early warning systems for na
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The webpage presents WeatherNext 2, an advanced AI-based weather forecasting model developed by Google DeepMind. It explains how the system uses machine learning to analyze large amounts of atmospheric data and produce fast and accurate weather predictions. The model is designed to improve forecasti
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The text explains what early warning systems are and why they are important for climate action and disaster risk reduction. It describes how these systems collect and analyze data to detect hazards such as storms, floods, heatwaves, or droughts and provide timely alerts to governments and communitie
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The ERF provides WHO staff with essential guidance on how the Organization manages the assessment, grading and response to public health events and emergencies with health consequences, in support of Member States and affected communities. The ERF adopts an all-hazards approach and it is therefore a
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The Haiti Earthquake and Cholera Emergency appeal (MDRHT018) was implemented by the International Federation of Red Cross and Red Crescent Societies (IFRC) in collaboration with the Haitian Red Cross Society (HRCS) following the devastating earthquake on 14 August 2021, and the cholera outbreak on 2
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This paper is the first quantitative analysis of how the impact of extreme weather events, such as floods and cyclones, affects the malaria burden on the continent, as well as the implications of long-onset climate change. This research involved developing a climate model to predict changes in inten
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The document is a practical toolkit that provides guidance for healthcare facilities on how to prepare for emergencies, including pandemics and other disasters. It explains how to conduct risk assessments using an all-hazards approach, helping facilities identify potential threats such as natural di
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The WHO handbook “Epidemiological Data Analysis for the Early Warning Alert and Response Network (EWARN) in Humanitarian Emergencies” explains how to collect, analyse, interpret, and share health data during crises such as conflicts or natural disasters. It is a practical guide for health and su
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Crisis Emergency Risk Communication. Manual
recommended
The CERC manual provides an evidence-based framework and recommended practices for anyone who communicates on behalf of an organization responding to major emergencies such as natural disasters.
Lack of satisfactory progress in mainstreaming disaster risk reduction within development is attributed to various factors. One of the important factor that is often not much appreciated is the inadequate comprehension of mainstreaming and the absence of clear, cogent and practical guidelines, tools
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