Systems epidemiology.
10.3760/cma.j.issn.0254-6450.2018.05.031
- Author:
T HUANG
1
;
L M LI
Author Information
1. Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
- Publication Type:Journal Article
- Keywords:
Big data;
Data integration;
Multi-omic data;
Network analysis;
Precision medicine;
System theory;
Systems epidemiology;
Translational medicine
- MeSH:
Epidemiology;
Forecasting;
Humans;
Precision Medicine;
Translational Research, Biomedical
- From:Chinese Journal of Epidemiology
2018;39(5):694-699
- CountryChina
- Language:Chinese
-
Abstract:
The era of medical big data, translational medicine and precision medicine brings new opportunities for the study of etiology of chronic complex diseases. How to implement evidence-based medicine, translational medicine and precision medicine are the challenges we are facing. Systems epidemiology, a new field of epidemiology, combines medical big data with system biology and examines the statistical model of disease risk, the future risk simulation and prediction using the data at molecular, cellular, population, social and ecological levels. Due to the diversity and complexity of big data sources, the development of study design and analytic methods of systems epidemiology face new challenges and opportunities. This paper summarizes the theoretical basis, concept, objectives, significances, research design and analytic methods of systems epidemiology and its application in the field of public health.
