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The WHO’s Early Warning, Alert and Response System (EWARS) is a tool used in emergencies such as conflicts or natural disasters to quickly detect
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EWARS is a surveillance system developed by the World Health Organization to detect and respond quickly to disease outbreaks in emergency settings where normal health systems are disrupted. It allows health facilities to report priority diseases on
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2nd edition.This updated publication provides programme managers with a user-friendly tool that can: (i) analyse and draw conclusions from historic dengue datasets; (ii) identify appropriate alarm indicators that can predict forthcoming outbreaks at smaller spatial scales; and (iii) use these result
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Torrential rains and the onset of Cyclone Komen triggered severe and widespread floods and landslides in July and August 2015 across 12 out of 14 states and regions in Myanmar. An estimated 1.6 million individuals were recorded as having been temporarily displaced from their homes by the disaster, a
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Climate information is critical towards strengthening the decision making among different users interested in mitigating impacts of climate related disasters. However, there is need for the climate users to have basic knowledge on weather and climate concepts and to a larger extend,
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The Multi-Hazard Early Warning System (MHEWS) Checklist is a practical tool consisting of major components and actions that national governments, c
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The Global Early Warning – Early Action (EWEA) report on food security and agriculture is developed by the Food and Agriculture Organization of t
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The document provides a standardized protocol for evaluating the Early Warning Alert and Response Network (EWARN), a surveillance system used durin
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Early Warning and Response to Outbreaks and other Public Health Events: A Guide provides practical guidance for strengthening early
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Populations affected by emergencies are continually at risk of outbreaks of epidemic-prone diseases and other public health hazards. This operational guidance aims to guide decision-making on when and how to implement and strengthen Early
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This study aims to analyze national and international stakeholders and their initiatives in Early Warning Systems in Myanmar, to identify priority gaps that need to be addressed by all stakeholders.
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Front Public Health . 2025 Jun 23:13:1609615. doi: 10.3389/fpubh.2025.1609615. eCollection 2025.
Key findings reveal the prevalent use of machine learning (ML), deep learning (DL), and natural language processing (NLP), which often integrate diverse data sources (e.g., epidemiological, web, climat
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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
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