Facilitating cancer systems epidemiology research

Barajas, Rolando and Hair, Brionna and Lai, Gabriel and Rotunno, Melissa and Shams-White, Marissa M. and Gillanders, Elizabeth M. and Mechanic, Leah E. and Jiang, Yi (2021) Facilitating cancer systems epidemiology research. PLOS ONE, 16 (12). e0255328. ISSN 1932-6203

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Abstract

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.

Item Type: Article
Subjects: Science Repository > Medical Science
Depositing User: Managing Editor
Date Deposited: 03 Mar 2023 05:48
Last Modified: 17 Jul 2024 07:18
URI: http://research.manuscritpub.com/id/eprint/1085

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