Literature DB >> 8629717

Choosing a future for epidemiology: I. Eras and paradigms.

M Susser1, E Susser.   

Abstract

To inform choices about the future of epidemiology, the present condition of epidemiology is examined, in terms of its evolution through three eras, each demarcated by its own paradigm: (1) the era of sanitary statistics with its paradigm, miasma; (2) the era of infectious disease epidemiology with its paradigm, the germ theory; and (3) the era of chronic disease epidemiology with its paradigm, the black box. The historical context in which these eras arose is briefly described. In each era, the public health was at the center of the concerns of the founders and early protagonists of the prevailing paradigm. Around this intellectual development we weave a further theme. We argue that in the present era, the public health has become less central a concern. At the same time, in epidemiology today the dominant black box paradigm is of declining utility and is likely soon to be superseded.

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Year:  1996        PMID: 8629717      PMCID: PMC1380474          DOI: 10.2105/ajph.86.5.668

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  25 in total

1.  Assessing risk factors for transmission of infection.

Authors:  J S Koopman; I M Longini; J A Jacquez; C P Simon; D G Ostrow; W R Martin; D M Woodcock
Journal:  Am J Epidemiol       Date:  1991-06-15       Impact factor: 4.897

2.  Epidemiology today: 'a thought-tormented world'.

Authors:  M Susser
Journal:  Int J Epidemiol       Date:  1989-09       Impact factor: 7.196

3.  The rare-disease assumption revisited. A critique of "estimators of relative risk for case-control studies".

Authors:  S Greenland; D C Thomas; H Morgenstern
Journal:  Am J Epidemiol       Date:  1986-12       Impact factor: 4.897

4.  A new perspective on John Snow's communicable disease theory.

Authors:  W Winkelstein
Journal:  Am J Epidemiol       Date:  1995-11-01       Impact factor: 4.897

5.  Health as a human right: an epidemiologist's perspective on the public health.

Authors:  M Susser
Journal:  Am J Public Health       Date:  1993-03       Impact factor: 9.308

Review 6.  Incorporating biomarkers into cancer epidemiology: a matrix of biomarker and study design categories.

Authors:  N Rothman; W F Stewart; P A Schulte
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  1995-06       Impact factor: 4.254

7.  Multivitamin/folic acid supplementation in early pregnancy reduces the prevalence of neural tube defects.

Authors:  A Milunsky; H Jick; S S Jick; C L Bruell; D S MacLaughlin; K J Rothman; W Willett
Journal:  JAMA       Date:  1989-11-24       Impact factor: 56.272

8.  Linkage of early-onset familial breast cancer to chromosome 17q21.

Authors:  J M Hall; M K Lee; B Newman; J E Morrow; L A Anderson; B Huey; M C King
Journal:  Science       Date:  1990-12-21       Impact factor: 47.728

9.  Incidence and timing of germinal matrix/intraventricular hemorrhage in low birth weight infants.

Authors:  N Paneth; J Pinto-Martin; J Gardiner; S Wallenstein; V Katsikiotis; T Hegyi; I M Hiatt; M Susser
Journal:  Am J Epidemiol       Date:  1993-06-01       Impact factor: 4.897

Review 10.  Biological markers in reproductive epidemiology: prospects and precautions.

Authors:  Z Stein; M Hatch
Journal:  Environ Health Perspect       Date:  1987-10       Impact factor: 9.031

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  98 in total

Review 1.  Methods in epidemiology and public health: does practice match theory?

Authors:  D L Weed
Journal:  J Epidemiol Community Health       Date:  2001-02       Impact factor: 3.710

Review 2.  Multilevel analyses of neighbourhood socioeconomic context and health outcomes: a critical review.

Authors:  K E Pickett; M Pearl
Journal:  J Epidemiol Community Health       Date:  2001-02       Impact factor: 3.710

3.  The right answer for the wrong question: consequences of type III error for public health research.

Authors:  S Schwartz; K M Carpenter
Journal:  Am J Public Health       Date:  1999-08       Impact factor: 9.308

4.  Individual causal models and population system models in epidemiology.

Authors:  J S Koopman; J W Lynch
Journal:  Am J Public Health       Date:  1999-08       Impact factor: 9.308

Review 5.  Paradigms in epidemiology textbooks: in the footsteps of Thomas Kuhn.

Authors:  R Bhopal
Journal:  Am J Public Health       Date:  1999-08       Impact factor: 9.308

6.  Is epidemiology an applied science or a technology?

Authors:  J A Tapia Granados
Journal:  Am J Public Health       Date:  1999-04       Impact factor: 9.308

7.  Multilevel ecoepidemiology and parsimony.

Authors:  J P Mackenbach
Journal:  J Epidemiol Community Health       Date:  1998-10       Impact factor: 3.710

8.  The loss of the population approach puts epidemiology at risk.

Authors:  M Kogevinas
Journal:  J Epidemiol Community Health       Date:  1998-10       Impact factor: 3.710

9.  Does risk factor epidemiology put epidemiology at risk? Peering into the future.

Authors:  M Susser
Journal:  J Epidemiol Community Health       Date:  1998-10       Impact factor: 3.710

10.  Epidemiology and bacteriology in 1900: who is the handmaid of whom?

Authors:  A Morabia
Journal:  J Epidemiol Community Health       Date:  1998-10       Impact factor: 3.710

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