التفاصيل البيبلوغرافية
| العنوان: |
Invited Commentary: Mechanistic and Biologically Based Models in Epidemiology—A Powerful Underutilized Tool. |
| المؤلفون: |
Meza, Rafael, Jeon, Jihyoun |
| المصدر: |
American Journal of Epidemiology; Oct2022, Vol. 191 Issue 10, p1776-1780, 5p |
| مصطلحات موضوعية: |
ATHEROSCLEROSIS risk factors, MYOCARDIAL infarction risk factors, SYMPTOMS, HYPERTENSION, MATHEMATICAL models, CHRONIC diseases, MYOCARDIAL infarction, HYPERLIPIDEMIA, THEORY, INTELLECT, INTERPROFESSIONAL relations, SMOKING, TUMORS, EPIDEMIOLOGICAL research, DISEASE complications |
| مستخلص: |
Mechanistic and biologically based mathematical models of chronic and behavioral disease processes aim to capture the main mechanistic or biological features of the disease development and to connect these with epidemiologic outcomes. These approaches have a long history in epidemiologic research and are complementary to traditional epidemiologic or statistical approaches to investigate the role of risk factor exposures on disease risk. Simonetto et al. (Am J Epidemiol. 2022;191(10):1766–1775) present a mechanistic, process-oriented model to investigate the role of smoking, hypertension, and dyslipidemia in the development of atherosclerotic lesions and their progression to myocardial infarction. Their approach builds on and brings to cardiovascular disease the ideas and perspectives of earlier mechanistic and biologically based models for the epidemiology of cancer and other chronic diseases, providing important insights into the mechanisms and epidemiology of smoking related myocardial infarction. We argue that although mechanistic modeling approaches have demonstrated their value and place in epidemiology, they are highly underutilized. We call for efforts to grow mechanistic and biologically based modeling research, expertise, and awareness in epidemiology, including the development of training and collaboration opportunities to attract more students and researchers from science, technology, engineering, and medical field into the epidemiology field. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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