Summary of research methods of stroke disease burden in big data era
10.3760/cma.j.cn112338-20200707-00930
- VernacularTitle:大数据背景下的脑卒中疾病负担研究方法概述
- Author:
Ziwei SONG
1
;
Mei ZHANG
;
Zhihui WANG
;
Shige QI
;
Limin WANG
Author Information
1. 中国疾病预防控制中心慢性非传染性疾病预防控制中心慢病危险因素监测室/老年健康室，北京 100050
- Keywords:
Stroke;
Big data;
Burden of disease
- From:
Chinese Journal of Epidemiology
2021;42(9):1695-1699
- CountryChina
- Language:Chinese
-
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.
