Cited by 119Historical and modern epidemiology studiesGlobal Cancer Incidence and ScreeningHealth, Environment, Cognitive Aging

Transforming Epidemiology for 21st Century Medicine and Public Health

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Khoury, Muin J., Lam, Tram Kim, Ioannidis, John P.A., Hartge, Patricia, Spitz, Margaret R., Buring, Julie E., Chanock, Stephen J., Croyle, Robert T. +19 more·2013·Cancer Epidemiology, Biomarkers & Prevention

Abstract

In 2012, the National Cancer Institute (NCI) engaged the scientific community to provide a vision for cancer epidemiology in the 21st century. Eight overarching thematic recommendations, with proposed corresponding actions for consideration by funding agencies, professional societies, and the research community emerged from the collective intellectual discourse. The themes are (i) extending the reach of epidemiology beyond discovery and etiologic research to include multilevel analysis, intervention evaluation, implementation, and outcomes research; (ii) transforming the practice of epidemiology by moving toward more access and sharing of protocols, data, metadata, and specimens to foster collaboration, to ensure reproducibility and replication, and accelerate translation; (iii) expanding cohort studies to collect exposure, clinical, and other information across the life course and examining multiple health-related endpoints; (iv) developing and validating reliable methods and technologies to quantify exposures and outcomes on a massive scale, and to assess concomitantly the role of multiple factors in complex diseases; (v) integrating “big data” science into the practice of epidemiology; (vi) expanding knowledge integration to drive research, policy, and practice; (vii) transforming training of 21st century epidemiologists to address interdisciplinary and translational research; and (viii) optimizing the use of resources and infrastructure for epidemiologic studies. These recommendations can transform cancer epidemiology and the field of epidemiology, in general, by enhancing transparency, interdisciplinary collaboration, and strategic applications of new technologies. They should lay a strong scientific foundation for accelerated translation of scientific discoveries into individual and population health benefits. Cancer Epidemiol Biomarkers Prev; 22(4); 508–16. ©2013 AACR.

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  • ML has emerged as an important tool in epidemiology and public health.

    “It should be no surprise that ML has emerged as an important tool in these disciplines, supporting a variety of research efforts, from increasing the efficiency of disease simulators to supporting the fine-grained measurement of exposures and their health impacts [433,705].”

    From Tackling climate change with machine learning (2023) · cites this paper as [433]

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  1. [12]National Cancer Institute Workshop: Trends in 21st century epidemiology: from scientific discoveries to population health impact (http://epi.grants.cancer.gov/workshops/century-trends/) 12 12–13 2012
  2. [42]National Institute of Standards and Technology Workshop: Cloud Computing and Big Data 1 15–17 2013

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Authors
Khoury, M. J., Lam, T. K., Ioannidis, J. P. A., Hartge, P., Spitz, M. R., Buring, J. E., Chanock, S. J., Croyle, R. T., Goddard, K. A., Ginsburg, G. S., Herceg, Z., Hiatt, R. A., Hoover, R. N., Hunter, D. J., Kramer, B. S., Lauer, M. S., Meyerhardt, J. A., Olopade, O. I., Palmer, J. R., Sellers, T. A., Seminara, D., Ransohoff, D. F., Rebbeck, T. R., Tourassi, G., Winn, D. M., Zauber, A., & Schully, S. D.
Affiliations
Boston University (US)
Venue
Cancer Epidemiology, Biomarkers & Prevention
Published
2013-04-01
Volume
22
Issue
4
Pages
508-516
ISSN
  • 1055-9965 (ISSN-L)
  • 1538-7755
OpenAlex
W2169521690
Cited by
119
References
51
Citations by year
2026: 1 · 2025: 1 · 2024: 2 · 2023: 2 · 2022: 6 · 2021: 1 · 2020: 7 · 2019: 7 · 2018: 8 · 2017: 14 · 2016: 18 · 2015: 28 · 2014: 14 · 2013: 10
FWCI
72.02
Type
journal article
Language
en
Open access
Locations
  • Cancer Epidemiology Biomarkers & Prevention (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion, other-oa)
  • eScholarship (California Digital Library) (submittedVersion)
  • UNC Libraries
Funders
  • National Institutes of Health (Z99 CA999999)
  • National Heart, Lung, and Blood Institute (T35HL007473)
  • National Cancer Institute (Y99 CA999999, R01CA170508, P30CA008748)
  • National Institute on Minority Health and Health Disparities
Topics
  • Social Sciences › Sociology and Political Science › Historical and modern epidemiology studies
  • Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Health, Environment, Cognitive Aging
Keywords
cancer epidemiology, multilevel analysis, intervention evaluation, outcomes research, data sharing, reproducibility, cohort studies, life course exposure, big data, knowledge integration, epidemiologist training, translational research, research infrastructure
MeSH terms
Humans, Medical Oncology, Neoplasms, Public Health, United States, Epidemiologic Studies, Guidelines as Topic, Biomedical Research, History, 21st Century, National Cancer Institute (U.S.)

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