Facilitating cancer systems epidemiology research

被引:1
|
作者
Barajas, Rolando [1 ,3 ]
Hair, Brionna [2 ,4 ]
Lai, Gabriel [1 ]
Rotunno, Melissa [1 ]
Shams-White, Marissa M. [1 ]
Gillanders, Elizabeth M. [1 ]
Mechanic, Leah E. [1 ]
机构
[1] NCI, Epidemiol & Genom Res Program, Div Canc Control & Populat Sci DCCPS, NIH, Bethesda, MD 20892 USA
[2] NCI, DCCPS, NIH, Bethesda, MD 20892 USA
[3] Georgetown Univ, Sch Med, Washington, DC USA
[4] NIH, Off Strateg Coordinat, Div Program Coordinat Planning & Strateg Initiat, Off Director, Bldg 10, Bethesda, MD 20892 USA
来源
PLOS ONE | 2021年 / 16卷 / 12期
基金
美国国家卫生研究院;
关键词
PHYSICAL-ACTIVITY; TRANSDISCIPLINARY RESEARCH; HEALTH; SCIENCE; FUTURE; DISPARITIES; PREVENTION; OBESITY; IMPACT; CHALLENGES;
D O I
10.1371/journal.pone.0255328
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Systems epidemiology offers a more comprehensive and holistic approach to studies of cancer in populations by considering high dimensionality measures from multiple domains, assessing the inter-relationships among risk factors, and considering changes over time. These approaches offer a framework to account for the complexity of cancer and contribute to a broader understanding of the disease. Therefore, NCI sponsored a workshop in February 2019 to facilitate discussion about the opportunities and challenges of the application of systems epidemiology approaches for cancer research. Eight key themes emerged from the discussion: transdisciplinary collaboration and a problem-based approach; methods and modeling considerations; interpretation, validation, and evaluation of models; data needs and opportunities; sharing of data and models; enhanced training practices; dissemination of systems models; and building a systems epidemiology community. This manuscript summarizes these themes, highlights opportunities for cancer systems epidemiology research, outlines ways to foster this research area, and introduces a collection of papers, "Cancer System Epidemiology Insights and Future Opportunities" that highlight findings based on systems epidemiology approaches.
引用
收藏
页数:14
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