A Relational Database of WHO Mortality Data Prepared to Facilitate Global Mortality Research

Open health data Pub Date : 2015-09-30 DOI:10.5334/OHD.AO
A. Roos
{"title":"A Relational Database of WHO Mortality Data Prepared to Facilitate Global Mortality Research","authors":"A. Roos","doi":"10.5334/OHD.AO","DOIUrl":null,"url":null,"abstract":"Detailed world mortality data such as collected by the World Health Organization gives a wealth of information about causes of death worldwide over a time span of 60 year. However, the raw mortality data in text format as provided by the WHO is not directly suitable for systematic research and data mining. In this Data Paper, a relational database is presented that is created from the raw WHO mortality data set and includes mortality rates, an ICD-code table and country reference data. This enriched database, as a corpus of global mortality data, can be readily imported in relational databases but can also function as the data source for other types of databases. The use of this database can therefore greatly facilitate global epidemiological research that may provide new clues to genetic or environmental factors in the origins of diseases.","PeriodicalId":74349,"journal":{"name":"Open health data","volume":"3 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2015-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open health data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5334/OHD.AO","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Detailed world mortality data such as collected by the World Health Organization gives a wealth of information about causes of death worldwide over a time span of 60 year. However, the raw mortality data in text format as provided by the WHO is not directly suitable for systematic research and data mining. In this Data Paper, a relational database is presented that is created from the raw WHO mortality data set and includes mortality rates, an ICD-code table and country reference data. This enriched database, as a corpus of global mortality data, can be readily imported in relational databases but can also function as the data source for other types of databases. The use of this database can therefore greatly facilitate global epidemiological research that may provide new clues to genetic or environmental factors in the origins of diseases.
为促进全球死亡率研究而编制的世卫组织死亡率数据关系数据库
世界卫生组织收集的详细的世界死亡率数据提供了60年来世界范围内死亡原因的丰富信息。然而,世界卫生组织提供的文本格式的原始死亡率数据并不直接适用于系统研究和数据挖掘。在本数据文件中,提出了根据世卫组织原始死亡率数据集创建的关系数据库,其中包括死亡率、国际疾病分类代码表和国家参考数据。这个丰富的数据库作为全球死亡率数据的语料库,可以很容易地导入到关系数据库中,但也可以作为其他类型数据库的数据源。因此,使用这一数据库可以极大地促进全球流行病学研究,为疾病起源中的遗传或环境因素提供新的线索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
审稿时长
10 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信