skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Invited Commentary: Mechanistic and Biologically Based Models in Epidemiology—A Powerful Underutilized Tool

American journal of epidemiology, 2022-09, Vol.191 (10), p.1776-1780 [Peer Reviewed Journal]

The Author(s) 2022. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 2022 ;The Author(s) 2022. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. ;ISSN: 0002-9262 ;EISSN: 1476-6256 ;DOI: 10.1093/aje/kwac099 ;PMID: 35650016

Full text available

Citations Cited by
  • Title:
    Invited Commentary: Mechanistic and Biologically Based Models in Epidemiology—A Powerful Underutilized Tool
  • Author: Meza, Rafael ; Jeon, Jihyoun
  • Subjects: Arteriosclerosis ; Atherosclerosis ; Cardiovascular diseases ; Disease ; Dyslipidemia ; Epidemiology ; Health risks ; Heart attacks ; Humans ; Hypertension ; Mathematical models ; Medical research ; Models, Theoretical ; Myocardial infarction ; Myocardial Infarction - epidemiology ; Risk analysis ; Risk Factors ; Smoking
  • Is Part Of: American journal of epidemiology, 2022-09, Vol.191 (10), p.1776-1780
  • Description: Abstract 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.
  • Publisher: United States: Oxford University Press
  • Language: English
  • Identifier: ISSN: 0002-9262
    EISSN: 1476-6256
    DOI: 10.1093/aje/kwac099
    PMID: 35650016
  • Source: Geneva Foundation Free Medical Journals at publisher websites
    MEDLINE
    Alma/SFX Local Collection
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait