Journal article
Population-level violence as a whole
- Abstract:
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Violence is preventable and the United Nations’ Sustainable Development Goals set out violence prevention as a global priority – calling for countries to halve their violent death rates by 2030. Despite action since, there has been limited progress in reducing violence globally.
In this essay, we argue that current violence prevention efforts are being heavily shaped by reductionism – the now-dominant research paradigm across the sciences. We make the case that this reductionist philosophy has prematurely misguided violence research away from studying populations as a whole. We further argue that the mainstream statistical methods in violence research are reinforcing this reductionist bias by oversimplifying ‘cause’ and ‘effect’ relationships. After revisiting foundational principles in sociology and public health, and drawing on advances in social epidemiology and complexity science, we suggest that violence – at any level – is better understood as an emergent property of a complex system.
We call on the field of violence research to return to a holist lens to maximise gains in explanatory theory and better position the evidence to directly inform effective intervention strategies for reducing violence at scale.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
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(Preview, Accepted manuscript, pdf, 344.3KB, Terms of use)
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- Publisher copy:
- 10.2105/AJPH.2025.308366
Authors
- Publisher:
- American Public Health Association
- Journal:
- American Journal of Public Health More from this journal
- Publication date:
- 2026-02-12
- Acceptance date:
- 2025-11-15
- DOI:
- EISSN:
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1541-0048
- ISSN:
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0090-0036
- Language:
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English
- Pubs id:
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2364381
- Local pid:
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pubs:2364381
- Deposit date:
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2026-01-27
- ARK identifier:
Terms of use
- Copyright holder:
- American Journal of Public Health
- Copyright date:
- 2026
- Rights statement:
- © 2026 American Journal of Public Health
- Notes:
- The author accepted manuscript (AAM) of this paper has been made available under the University of Oxford's Open Access Publications Policy, and a CC BY public copyright licence has been applied.
- Licence:
- CC Attribution (CC BY)
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