Literature DB >> 32003778

Perspectives on the Future of Epidemiology: A Framework for Training.

Bryan Lau, Priya Duggal, Stephan Ehrhardt, Haroutune Armenian, Charles C Branas, Graham A Colditz, Matthew P Fox, Stephen E Hawes, Jiang He, Albert Hofman, Katherine Keyes, Albert I Ko, Timothy L Lash, Deborah Levy, Michael Lu, Alfredo Morabia, Roberta Ness, F Javier Nieto, Enrique F Schisterman, Til Stürmer, Moyses Szklo, Martha Werler, Allen J Wilcox, David D Celentano.   

Abstract

Over the past century, the field of epidemiology has evolved and adapted to changing public health needs. Challenges include newly emerging public health concerns across broad and diverse content areas, new methods, and vast data sources. We recognize the need to engage and educate the next generation of epidemiologists and prepare them to tackle these issues of the 21st century. In this commentary, we suggest a skeleton framework upon which departments of epidemiology should build their curriculum. We propose domains that include applied epidemiology, biological and social determinants of health, communication, creativity and ability to collaborate and lead, statistical methods, and study design. We believe all students should gain skills across these domains to tackle the challenges posed to us. The aim is to train smart thinkers, not technicians, to embrace challenges and move the expanding field of epidemiology forward. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2020. This work is written by (a) US Government employee(s) and is in the public domain in the US.

Keywords:  applied epidemiology; biological and social determinants of health; communication; epidemiologic methods; future; statistical methods; study design; training

Mesh:

Year:  2020        PMID: 32003778     DOI: 10.1093/aje/kwaa013

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  2 in total

1.  Is the Way Forward to Step Back? Documenting the Frequency With Which Study Goals Are Misaligned With Study Methods and Interpretations in the Epidemiologic Literature.

Authors:  Katrina L Kezios
Journal:  Epidemiol Rev       Date:  2022-01-14       Impact factor: 4.280

2.  On the Need to Revitalize Descriptive Epidemiology.

Authors:  Matthew P Fox; Eleanor J Murray; Catherine R Lesko; Shawnita Sealy-Jefferson
Journal:  Am J Epidemiol       Date:  2022-06-27       Impact factor: 5.363

  2 in total

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