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Systems Epidemiology: What's in a Name?
O Dammann1, P Gray2, P Gressens3
1Dept of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA ; Perinatal Epidemiology Unit, Dept. of Gynecology and Obstetrics, Hannover Medical School, Hannover, Germany.
Online Journal of Public Health Informatics
|January 20, 2015
Summary
Systems epidemiology integrates multiple levels of causation for disease research and public health surveillance. Computational models are encouraged to advance understanding of disease etiology and prevention strategies.
Area of Science:
- Interdisciplinary research integrating biological and computational sciences.
Background:
- Systems biology models biological functions across multiple levels.
- Systems medicine applies these models to disease.
- Systems epidemiology extends this to population-level disease antecedents.
Purpose of the Study:
- To outline the role of systems epidemiology in understanding disease causation and public health.
- To advocate for computational modeling in disease research.
Main Methods:
- Integrating molecular, cellular, tissue, organ, and organism data.
- Developing computational simulation models.
- Incorporating etiologic and pathogenetic data.
Main Results:
- Systems-type thinking identifies multi-level disease contributors and interactions.
- Systems epidemiology enhances syndromic surveillance methods.
Conclusions:
- Systems epidemiology offers a framework for comprehensive disease etiology and prevention research.
- Interdisciplinary collaboration and computational modeling are crucial for advancing public health insights.
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