Challenges with Disaster Mortality Data and Measuring Progress Towards the Implementation of the Sendai Framework
| Autor: | Dell D. Saulnier, Alistair Humphrey, Helen K. Green, Bapon Shm Fakhruddin, Virginia Murray, Kevin Blanchard, Oliver Lysaght |
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| Rok vydání: | 2019 |
| Předmět: |
Disaster risk reduction
lcsh:Disasters and engineering Geography Planning and Development 0211 other engineering and technologies 02 engineering and technology Management Monitoring Policy and Law 03 medical and health sciences 0302 clinical medicine Natural hazard 030212 general & internal medicine Disaster mortality Risk management Data 021110 strategic defence & security studies Global and Planetary Change biology Disaster risk management business.industry lcsh:TA495 Hazard Sendai Framework Risk analysis (engineering) Scale (social sciences) Preparedness Toll biology.protein Mass casualty Business Risk assessment Safety Research |
| Zdroj: | International Journal of Disaster Risk Science, Vol 10, Iss 4, Pp 449-461 (2019) |
| ISSN: | 2192-6395 2095-0055 |
| DOI: | 10.1007/s13753-019-00237-x |
| Popis: | Disasters exact a heavy toll globally. However, the degree to which we can accurately quantify their impact, in particular mortality, remains challenging. It is critical to ensure that disaster data reliably reflects the scale, type, and distribution of disaster impacts given the role of data in: (1) risk assessments; (2) developing disaster risk management programs; (3) determining the resources for response to emergencies; (4) the types of action undertaken in planning for prevention and preparedness; and (5) identifying research gaps. The Sendai Framework for Disaster Risk Reduction 2015–2030s seven global disaster-impact reduction targets represent the first international attempt to systematically measure the effectiveness of disaster-impact reduction as a means of better informing policy with evidence. Target A of the Sendai Framework aims to “substantially reduce global disaster mortality by 2030, aiming to lower the average per 100,000 global mortality rate in the decade 2020–2030 compared to the period 2005–2015.” This article provides an overview of the complexities associated with defining, reporting, and interpreting disaster mortality data used for gauging success in meeting Target A, acknowledging different challenges for different types of hazard events and subsequent disasters. It concludes with suggestions of how to address these challenges to inform the public health utility of monitoring through the Sendai Framework. |
| Databáze: | OpenAIRE |
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