Evidence map›Paper›PMID 25976024›Full record

ArticleAnnals of epidemiology2015

Charting a future for epidemiologic training.

Ross C Brownson, Jonathan M Samet, Gilbert F Chavez, Megan M Davies, Sandro Galea, Robert A Hiatt, Carlton A Hornung, Muin J Khoury, Denise Koo, Vickie M Mays and 2 more

Open access · greenAbstract read
In one paragraph

Article in Annals of epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
5.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Article
  3. Theorizing epidemiology, the stories bodies tell, and embodied truths: a status update on contending 21International journal of social determinants of health and health services · 2024
    Review
  4. Review
  5. RevisitingAmerican journal of public health · 2024
    Article
  6. Article
  7. Article
  8. Core competencies in applied infectious disease epidemiology: a framework for countries in Europe.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
    Article
  9. Epidemic Intelligence Service Alumni in Public Health Leadership Roles.International journal of environmental research and public health · 2022
    Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Toward an Expanded Focus for Occupational Safety and Health: A Commentary.International journal of environmental research and public health · 2019
    Review
  17. Training the Twenty-First Century Cancer Epidemiologist.Journal of cancer education : the official journal of the American Association for Cancer Education · 2019
    Article
  18. Epidemiology: Back to the Future.American journal of epidemiology · 2019
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 11 institutions in 1 country.

Ross C BrownsonPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, St. Louis, MO; Division of Public Health Sciences and Alvin J. Siteman Cancer Center, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO. Electronic address: rbrownson@wustl.edu.
Jonathan M SametDepartment of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles.
Gilbert F ChavezCenter for Infectious Diseases, California Department of Public Health, Sacramento.
Megan M DaviesDivision of Public Health, North Carolina Department of Health and Human Services, Raleigh; Council of State and Territorial Epidemiologists, Atlanta, GA.
Sandro GaleaSchool of Public Health, Boston University, Boston, MA.
Robert A HiattDepartment of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco.
Carlton A HornungDepartment of Medicine, School of Medicine, University of Louisville, Louisville, KY.
Muin J KhouryOffice of Public Health Genomics, Centers for Disease Control and Prevention, Atlanta, GA; Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD.
Denise KooOffice of Public Health Scientific Services, Centers for Disease Control and Prevention, Atlanta, GA.
Vickie M MaysDepartment of Psychology, UCLA Fielding School of Public Health and UCLA BRITE Center for Science, Research and Policy, Los Angeles CA; Department of Health Policy and Management, UCLA Fielding School of Public Health and UCLA BRITE Center for Science, Research and Policy, Los Angeles CA.
Patrick RemingtonDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison.
Laura YarberPrevention Research Center in St. Louis, College of Public Health and Social Justice, Saint Louis University, St. Louis, MO.
California Department of Public Health · USCenters for Disease Control and Prevention · USNational Cancer Institute · USNC Department of Health and Human Services · USSaint Louis University · USUCLA Health · USUniversity of California, San Francisco · USUniversity of Louisville · USUniversity of Southern California · USUniversity of Wisconsin–Madison · USWashington University in St. Louis · US

Funding

Training / Career DevelopmentP50CA095815 · NCI · WASHINGTON UNIVERSITY · PI LUKE, DOUGLAS A · 2003 to 2012
$20.4M
Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
Health Promotion and Disease Prevention Research Center*U48DP000060 · DP · SAINT LOUIS UNIVERSITY · PI BAKER, ELIZABETH A · 2004 to 2008
$6.1M
Research Training/Education CoreP60MD006923 · NIMHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BROWN, ARLEEN F. · 2012 to 2016
$6.1M
Intramural CDC HHS CC999999NCCDPHP CDC HHS U48 DP000060NCI NIH HHS P50 CA095815NIDDK NIH HHS P30 DK092950NIMHD NIH HHS P60 MD006923
6 · The paper itself

Abstract

purposeTo identify macro-level trends that are changing the needs of epidemiologic research and practice and to develop and disseminate a set of competencies and recommendations for epidemiologic training that will be responsive to these changing needs.

methodsThere were three stages to the project: (1) assembling of a working group of senior epidemiologists from multiple sectors, (2) identifying relevant literature, and (3) conducting key informant interviews with 15 experienced epidemiologists.

resultsTwelve macro trends were identified along with associated actions for the field and educational competencies. The macro trends include the following: (1) "Big Data" or informatics, (2) the changing health communication environment, (3) the Affordable Care Act or health care system reform, (4) shifting demographics, (5) globalization, (6) emerging high-throughput technologies (omics), (7) a greater focus on accountability, (8) privacy changes, (9) a greater focus on "upstream" causes of disease, (10) the emergence of translational sciences, (11) the growing centrality of team and transdisciplinary science, and (12) the evolving funding environment.

conclusionsAddressing these issues through curricular change is needed to allow the field of epidemiology to more fully reach and sustain its full potential to benefit population health and remain a scientific discipline that makes critical contributions toward ensuring clinical, social, and population health.

Indexed as

EpidemiologyHealth Services Needs and DemandProfessional CompetencePublic HealthUnited StatesEpidemiologyGenomicsGlobalizationMedicinePublic healthTranslational research

Identifiers

PMID25976024
PMCPMC4646613
OpenAlexW2075557608

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.