Monash University Disaster Resilience Initiative, Melbourne, Victoria, Australia.
Western Australia Department of Health, Perth, Western Australia.
Prehosp Disaster Med. 2021 Oct;36(5):511-518. doi: 10.1017/S1049023X2100073X. Epub 2021 Sep 16.
Disaster impact databases are important resources for informing research, policy, and decision making. Therefore, understanding the underpinning methodology of data collection used by the databases, how they differ, and quality indicators of the data recorded is essential in ensuring that their use as reference points is valid.
The Australian Disaster Resilience Knowledge Hub (AIDRKH) is an open-source platform supported by government to inform disaster management practice. A comparative descriptive review of the Disaster Mapper (hosted at AIDRKH) and the international Emergency Events Database (EM-DAT) was undertaken to identify differences in how Australian disasters are captured and measured.
The results show substantial variation in identification and classification of disasters across hazard impacts and hazard types and a lack of data structure for the systematic reporting of contextual and impact variables.
These differences may have implications for reporting, academic analysis, and thus knowledge management informing disaster prevention and response policy or plans. Consistency in reporting methods based on international classification standards is recommended to improve the validity and usefulness of this Australian database.
灾害影响数据库是为研究、政策和决策提供信息的重要资源。因此，了解数据库所采用的数据收集方法的基本原理、它们之间的差异以及记录数据的质量指标，对于确保将其用作参考点是有效的至关重要。
澳大利亚灾害恢复知识中心（AIDRKH）是一个由政府支持的开源平台，旨在为灾害管理实践提供信息。对灾害绘图员（驻留在 AIDRKH 上）和国际紧急事件数据库（EM-DAT）进行了比较描述性审查，以确定澳大利亚灾害的捕获和测量方式的差异。
结果表明，在灾害影响和灾害类型方面，灾害的识别和分类存在很大差异，并且缺乏用于系统报告背景和影响变量的数据集结构。
这些差异可能会对报告、学术分析，从而对灾害预防和应对政策或计划的知识管理产生影响。建议基于国际分类标准报告方法的一致性，以提高该澳大利亚数据库的有效性和有用性。
