多发病率
流行病学
疾病
数据科学
医学
环境卫生
计算机科学
病理
作者
Yong Zhao,Yan‐Guo Zhou,Xiaolu Xu
出处
期刊:PubMed
日期:2025-08-10
卷期号:46 (8): 1480-1488
标识
DOI:10.3760/cma.j.cn112338-20241118-00731
摘要
With the accelerated progress of population aging and the shift in the disease spectrum, the prevention and management of chronic diseases and multimorbidity are facing great challenges. Multimorbidity measurement is a process that assesses and quantifies the complexity and severity of multiple disease states in a population, which is of great significance for understanding the epidemiology and disease burden of multimorbidity, as well as for optimizing medical services and policy. This article reviews existing multimorbidity measurement indicators, tools, and applications from two dimensions, static and dynamic attributes, aiming to improve the accuracy and comprehensiveness of multimorbidity epidemiology, diagnosis, and treatment.
科研通智能强力驱动
Strongly Powered by AbleSci AI