Knowledge Commons of Institute of Automation，CAS
| Geographical and Socioeconomic Disparity Analysis -- An Empirical Study of Hypertension and Its Comorbidities in China | |
James Ma1; Jiaojiao Wang2 ; Jiaqi Liu2; Zhidong Cao2
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| 2016 | |
| 会议名称 | 2016 49th Hawaii International Conference on System Sciences (HICSS) |
| 会议日期 | 5-8 Jan. 2016 |
| 会议地点 | Koloa, HI, USA |
| 摘要 | As one of the most prevalent chronic diseases, hypertension is often a long-term economic burden to patients and public healthcare system. Although hypertension was well studied for its prevalence, comorbidities, and treatment, patient's geographical and socioeconomic disparity has rarely been considered. People from different regions are likely to have different diet and life styles which are important for developing hypertension. We investigated the correlation of the prevalence of hypertension and three comorbidities with various geographical and socioeconomic factors. From 29 hospitals across China, we collected a large sample of electronic medical records. Patient's gender, age, income level, hospital class, and geographical zone were chosen as risk factors. A univariate analysis showed strong correlations between those risk factors and the disease prevalence. Policy makers can benefit from our findings to identify at-risk hypertensive patients with different socioeconomic characteristics in different geographical regions, and thus allocate medical resources more effectively. |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/20185 |
| 专题 | 多模态人工智能系统全国重点实验室_互联网大数据与信息安全 |
| 作者单位 | 1.Coll. of Bus., Univ. of Colorado 2.Inst Automat, Chinese Acad Sci, Key Lab Complex Syst & Intelligence Sci, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | James Ma,Jiaojiao Wang,Jiaqi Liu,et al. Geographical and Socioeconomic Disparity Analysis -- An Empirical Study of Hypertension and Its Comorbidities in China[C],2016. |
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| Geographical and Soc（304KB） | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 | ||
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