Post-Modern Epidemiology: When Methods Meet Matter.
Am J Epidemiol
; 188(8): 1410-1419, 2019 08 01.
Article
en En
| MEDLINE
| ID: mdl-30877306
ABSTRACT
In the last third of the 20th century, etiological epidemiology within academia in high-income countries shifted its primary concern from attempting to tackle the apparent epidemic of noncommunicable diseases to an increasing focus on developing statistical and causal inference methodologies. This move was mutually constitutive with the failure of applied epidemiology to make major progress, with many of the advances in understanding the causes of noncommunicable diseases coming from outside the discipline, while ironically revealing the infectious origins of several major conditions. Conversely, there were many examples of epidemiologic studies promoting ineffective interventions and little evident attempt to account for such failure. Major advances in concrete understanding of disease etiology have been driven by a willingness to learn about and incorporate into epidemiology developments in biology and cognate data science disciplines. If fundamental epidemiologic principles regarding the rooting of disease risk within populations are retained, recent methodological developments combined with increased biological understanding and data sciences capability should herald a fruitful post-Modern Epidemiology world.
Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Métodos Epidemiológicos
/
Epidemiología
/
Enfermedades no Transmisibles
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
/
Screening_studies
Límite:
Humans
Idioma:
En
Año:
2019
Tipo del documento:
Article