Descriptive framework of injury data: a proposal based on a Japanese experience of injury database integration
Descriptive framework of injury data: a proposal based on a Japanese experience of injury database integration
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伤害数据的描述框架：基于日本伤害数据库整合经验的建议
DOI：
10.1080/13669877.2015.1042497
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Yoshiki MIKAMI
中科院分区：
文献类型：
--
作者：
Kun ZHANG;Jingxing WANG;Takabumi FUKUDA;Yoshiki MIKAMI
本文根据日本近年来伤害数据库整合的经验，提出了伤害数据综合分析的描述性框架。该框架结合了伤害的两种概念模式：世界卫生组织《伤害监测指南》中提出的流行病学模式和国际标准化组织和国际劳工组织的安全相关标准中提出的技术模式。由宿主、病原体、媒介和环境组成的流行病学框架有助于更好地理解复杂社会中的社会风险。然而，各种危害对消费者造成的伤害是技术性的、微观的过程，适当地描述它们需要一个详细的技术框架和适当的词汇，包括危害清单、产品分类和伤害机制。因此，拟议的描述性框架由五个要素(主持人、媒介、动因、环境和后果)、30个属性(其中三个在备注部分)和一套用于描述这些属性的词汇组成。拟议的框架将有助于在社会和技术层面预防伤害所需的数据挖掘工作。虽然国际上对死亡率统计和职业健康安全统计的描述性框架存在共识，但对于产品伤害数据并不存在这种一致性。拟议的框架旨在填补这一空白。尽管我们的建议是基于日本的经验，但国际公认的分类和词汇的使用使该框架成为整合其他国家伤害数据的一个有价值的候选者。
This article proposes a descriptive framework for the comprehensive analysis of injury data on the basis of a Japanese experience of injury database integration during recent years. The framework combines two conceptual models of injury: an epidemiological model set forth in the World Health Organization’s Injury Surveillance Guidelines and a technical model presented in the safety-related standards of the International Organization for Standardization and International Labour Organization. The epidemiological framework composed of host, agent, vector and environment is useful for better understanding social risks in a complex society. However, injuries to consumers caused by various types of hazards are technical, microscopic processes, and their proper description requires a detailed technical framework and appropriate vocabulary, including lists of hazards, classification of products and mechanisms of injury. The proposed descriptive framework is therefore composed of five elements (host, vector, agent, environment and consequences), 30 attributes (three of which are in the Remarks section), and a set of vocabularies for the description of these attributes. The proposed framework will be useful in the data mining work needed for injury prevention at the social and technical levels. While international consensus exists for the descriptive frameworks of mortality statistics and occupational health and safety statistics, no such unanimity exists for product injury data. The proposed framework is designed to fill this gap. Although our proposal is based on Japanese experiences, the use of internationally recognized classifications and vocabularies makes the framework a worthy candidate for the integration of injury data in other countries.