Epidemiology beyond averages : Reflections on civic responsibility and contextually structured individual heterogeneity
Merlo, Juan LU
(2026)
In Annals of Epidemiology
115.
p.78-84
- Abstract
Epidemiology has achieved substantial methodological refinement in recent decades, yet its social resonance has not always kept pace. This essay reflects on tendencies within influential sectors of the field toward methodological sophistication that, while yielding genuine intellectual advances, can unintentionally distance epidemiology from its civic and historical roots. By privileging what is analytically tractable, such developments may render broader contextual forces and socially patterned differences between individuals around population averages less visible. Drawing on traditions in social epidemiology, the essay advances a central argument: a substantial share of individual heterogeneity is intrinsically contextual.... (More)
Epidemiology has achieved substantial methodological refinement in recent decades, yet its social resonance has not always kept pace. This essay reflects on tendencies within influential sectors of the field toward methodological sophistication that, while yielding genuine intellectual advances, can unintentionally distance epidemiology from its civic and historical roots. By privileging what is analytically tractable, such developments may render broader contextual forces and socially patterned differences between individuals around population averages less visible. Drawing on traditions in social epidemiology, the essay advances a central argument: a substantial share of individual heterogeneity is intrinsically contextual. Differences between individuals are not pre-social deviations to be averaged away, but structured expressions of social, spatial, institutional, and historical contexts. From this perspective, the central challenge facing contemporary epidemiology is not primarily statistical but metaethical. It concerns how analytical choices shape interpretation, how values are embedded in measurement practices, and how these practices delimit the social purposes epidemiology is understood to serve. Crucially, epidemiology is not only a science of causal explanation, but also a discipline concerned with mapping, monitoring, and documenting how health and harm are distributed within populations over time. Even when major determinants of ill health are well established, epidemiology retains a core role in tracking how inequalities persist, change, or respond to policy. Rather than rejecting modern tools, the essay calls for a pluralistic and contextually grounded epidemiology that reconnects analytical rigor with social meaning. By treating individual heterogeneity as contextual rather than residual, epidemiology can reconcile population health and precision approaches and more fully realize its dual role as a scientific enterprise and a civic practice oriented toward equity.
(Less)
- author
- Merlo, Juan
LU
- organization
- publishing date
- 2026-03
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Humans, Social Responsibility, Epidemiology
- in
- Annals of Epidemiology
- volume
- 115
- pages
- 78 - 84
- publisher
- Elsevier
- external identifiers
-
- pmid:41698778
- scopus:105030072955
- ISSN
- 1047-2797
- DOI
- 10.1016/j.annepidem.2026.01.010
- language
- English
- LU publication?
- yes
- additional info
- Copyright © 2026 Elsevier Inc. All rights reserved.
- id
- 60ce6400-7c2c-46b0-8412-6275bfe6fdf7
- date added to LUP
- 2026-03-02 10:41:30
- date last changed
- 2026-03-17 05:08:42
@misc{60ce6400-7c2c-46b0-8412-6275bfe6fdf7,
abstract = {{<p>Epidemiology has achieved substantial methodological refinement in recent decades, yet its social resonance has not always kept pace. This essay reflects on tendencies within influential sectors of the field toward methodological sophistication that, while yielding genuine intellectual advances, can unintentionally distance epidemiology from its civic and historical roots. By privileging what is analytically tractable, such developments may render broader contextual forces and socially patterned differences between individuals around population averages less visible. Drawing on traditions in social epidemiology, the essay advances a central argument: a substantial share of individual heterogeneity is intrinsically contextual. Differences between individuals are not pre-social deviations to be averaged away, but structured expressions of social, spatial, institutional, and historical contexts. From this perspective, the central challenge facing contemporary epidemiology is not primarily statistical but metaethical. It concerns how analytical choices shape interpretation, how values are embedded in measurement practices, and how these practices delimit the social purposes epidemiology is understood to serve. Crucially, epidemiology is not only a science of causal explanation, but also a discipline concerned with mapping, monitoring, and documenting how health and harm are distributed within populations over time. Even when major determinants of ill health are well established, epidemiology retains a core role in tracking how inequalities persist, change, or respond to policy. Rather than rejecting modern tools, the essay calls for a pluralistic and contextually grounded epidemiology that reconnects analytical rigor with social meaning. By treating individual heterogeneity as contextual rather than residual, epidemiology can reconcile population health and precision approaches and more fully realize its dual role as a scientific enterprise and a civic practice oriented toward equity.</p>}},
author = {{Merlo, Juan}},
issn = {{1047-2797}},
keywords = {{Humans; Social Responsibility; Epidemiology}},
language = {{eng}},
pages = {{78--84}},
publisher = {{Elsevier}},
series = {{Annals of Epidemiology}},
title = {{Epidemiology beyond averages : Reflections on civic responsibility and contextually structured individual heterogeneity}},
url = {{http://dx.doi.org/10.1016/j.annepidem.2026.01.010}},
doi = {{10.1016/j.annepidem.2026.01.010}},
volume = {{115}},
year = {{2026}},
}