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Challenges with Disaster Mortality Data and Measuring Progress Towards the Implementation of the Sendai Framework

机译：死亡率数据的挑战以及衡量仙台框架实施进展的挑战

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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.
机译：灾难在全球造成了沉重的代价。但是，我们在多大程度上可以准确地量化其影响，尤其是死亡率，仍然具有挑战性。考虑到数据在以下方面的作用，确保灾难数据可靠地反映灾难影响的规模，类型和分布是至关重要的：（1）风险评估; （2）制定灾害风险管理计划; （三）确定应急资源; （4）在预防和准备计划中采取的行动类型; （5）找出研究差距。 《 2015-2030年仙台减少灾害风险框架》提出了七个全球减少灾害影响目标，这是国际上首次尝试系统地衡量减少灾害影响的有效性，以更好地为政策提供依据。仙台框架目标A的目标是“到2030年大幅降低全球灾难死亡率，与2020-2030年相比，力争在2020-2030十年间平均降低每100,000全球死亡率。”本文概述了与定义，报告和解释灾难死亡率数据相关的复杂性，这些数据用于衡量是否成功实现了目标A，并认识到针对不同类型的危害事件和后续灾难的不同挑战。最后提出了有关如何应对这些挑战的建议，以通过《仙台框架》为监测的公共卫生实用程序提供信息。

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