| 宋子伟,张梅,王志会,齐士格,王丽敏.大数据背景下的脑卒中疾病负担研究方法概述[J].Chinese journal of Epidemiology,2021,42(9):1695-1699 |
| 大数据背景下的脑卒中疾病负担研究方法概述 |
| Summary of research methods of stroke disease burden in big data era |
| Received:July 07, 2020 |
| DOI：10.3760/cma.j.cn112338-20200707-00930 |
| KeyWord: 脑卒中 大数据 疾病负担 |
| English Key Word: Stroke Big data Burden of disease |
| FundProject:国家重点研发计划（2018YFC1311706） |
| Author Name | Affiliation | E-mail | | Song Ziwei | Division of Non-communicable Disease Risk Factor Surveillance Division of Elderly Health, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China | | | Zhang Mei | Division of Non-communicable Disease Risk Factor Surveillance Division of Elderly Health, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China | | | Wang Zhihui | Division of Non-communicable Disease Risk Factor Surveillance Division of Elderly Health, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China | | | Qi Shige | Division of Non-communicable Disease Risk Factor Surveillance Division of Elderly Health, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China | | | Wang Limin | Division of Non-communicable Disease Risk Factor Surveillance Division of Elderly Health, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China | wanglimin@ncncd.chinacdc.cn |
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| Abstract: |
| 脑卒中发病具有致残率高、死亡率高的特点，给社会和个人带来巨大的疾病负担。在全球卫生系统高度信息化的今天，各国纷纷搭建与完善公共卫生信息平台，通过平台中的公共卫生信息实现收集、整理、挖掘、分析、共享一体化，研究脑卒中的疾病负担，为卫生决策提供支撑。本研究通过对国内外文献资料进行检索复习，概述了我国脑卒中疾病负担的研究方法及其公共卫生信息来源，评价了各个疾病负担研究方法的公共卫生学意义以及局限性，描述了全球以及我国脑卒中疾病负担大数据平台的应用及发展情况，并通过总结我国现有的脑卒中疾病负担评价系统的局限性，对我国建立更加现代化以及信息化的脑卒中疾病负担评价系统提供建议。 |
| English Abstract: |
| Stroke has high disability rate and high mortality rate, resulting in huge disease burden to society and individuals. In the context of highly informationization of global health system, countries have built and improved various public health information platform to provide support for health decision-making through public health information collection, classification, extraction, analysis and sharing in the research of disease burden of stroke. Based on the retrieval of domestic and foreign literatures, this paper summarizes the research methods of stroke-caused disease burden and its public health information sources in China, evaluates the significance of public health as well as the limitations of each research method of disease burden and describes the application and development of stroke-caused disease burden big data platform in the world, and provide suggestions for establishing a more modern and information-based stroke-caused disease burden evaluation system in China by analyzing the limitations of the existing stroke-caused disease burden evaluation system. |
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