Title |
Applied epidemiology and public health: are we training the future generations appropriately?
|
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Published in |
Annals of Epidemiology, December 2016
|
DOI | 10.1016/j.annepidem.2016.12.002 |
Pubmed ID | |
Authors |
Ross C. Brownson, Jonathan M. Samet, Diana M. Bensyl |
Abstract |
To extend the reach and relevance of epidemiology for public health practice, the science needs be broadened beyond etiologic research, to link more strongly with emerging technologies and to acknowledge key societal transformations. This new focus for epidemiology and its implications for epidemiologic training can be considered in the context of macro trends affecting society, including a greater focus on upstream causes of disease, shifting demographics, the Affordable Care Act and health care system reform, globalization, changing health communication environment, growing centrality of team and transdisciplinary science, emergence of translational sciences, greater focus on accountability, big data, informatics, high-throughput technologies ("omics"), privacy changes, and the evolving funding environment. This commentary describes existing approaches to and competencies for training in epidemiology, maps macro trends with competencies, highlights an example of competency-based education in the Epidemic Intelligence Service of Centers for Disease Control and Prevention, and suggests expanded and more dynamic training approaches. A reexamination of current approaches to epidemiologic training is needed. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 12 | 46% |
Canada | 4 | 15% |
Belgium | 1 | 4% |
Colombia | 1 | 4% |
Spain | 1 | 4% |
Denmark | 1 | 4% |
Unknown | 6 | 23% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 50% |
Practitioners (doctors, other healthcare professionals) | 7 | 27% |
Scientists | 6 | 23% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
United States | 1 | <1% |
Belgium | 1 | <1% |
Unknown | 114 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 17 | 15% |
Student > Ph. D. Student | 14 | 12% |
Researcher | 12 | 10% |
Student > Bachelor | 8 | 7% |
Student > Doctoral Student | 7 | 6% |
Other | 21 | 18% |
Unknown | 38 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 18 | 15% |
Social Sciences | 14 | 12% |
Nursing and Health Professions | 10 | 9% |
Biochemistry, Genetics and Molecular Biology | 5 | 4% |
Computer Science | 4 | 3% |
Other | 19 | 16% |
Unknown | 47 | 40% |