| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1088/1367-2630/16/11/115013 |
| Spreading of diseases through comorbidity networks across life and gender. | |
| Chmiel A; Klimek P; Thurner S | |
| 发表日期 | 2014 |
| 出处 | New Journal of Physics 16: p. 115013 |
| 出版年 | 2014 |
| 语种 | 英语 |
| 摘要 | The state of health of patients is typically not characterized by a single disease alone but by multiple (comorbid) medical conditions. These comorbidities may depend strongly on age and gender. We propose a specific phenomenological comorbidity network of human diseases that is based on medical claims data of the entire population of Austria. The network is constructed from a two-layer multiplex network, where in one layer the links represent the conditional probability for a comorbidity, and in the other the links contain the respective statistical significance. We show that the network undergoes dramatic structural changes across the lifetime of patients. Disease networks for children consist of a single, strongly interconnected cluster. During adolescence and adulthood further disease clusters emerge that are related to specific classes of diseases, such as circulatory, mental, or genitourinary disorders. For people over 65 these clusters start to merge, and highly connected hubs dominate the network. These hubs are related to hypertension, chronic ischemic heart diseases, and chronic obstructive pulmonary diseases. We introduce a simple diffusion model to understand the spreading of diseases on the disease network at the population level. For the first time we are able to show that patients predominantly develop diseases that are in close network proximity to disorders that they already suffer. The model explain more than 85% of the variance of all disease incidents in the population. The presented methodology could be of importance for anticipating age-dependent disease profiles for entire populations, and for design and validation of prevention strategies. |
| 主题 | Advanced Systems Analysis (ASA) |
| 关键词 | network medicine disease dynamics multilayer statistics medical claims data |
| URL | http://pure.iiasa.ac.at/id/eprint/10794/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/129931 |
| 推荐引用方式 GB/T 7714 | Chmiel A,Klimek P,Thurner S. Spreading of diseases through comorbidity networks across life and gender.. 2014. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Spreading%20of%20dis（1447KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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