Social Epidemiology and Complex System Dynamic Modelling As Applied to Health Behaviour and Drug Use Research

Overview

Journal Int J Drug Policy

Publisher Elsevier

Specialties Psychiatry
Public Health

Date 2008 Oct 22

PMID 18930649

Citations 43

Authors

Sandro Galea

Chris Hall

George A Kaplan

Affiliations

Soon will be listed here.

Abstract

A social epidemiologic perspective considers factors at multiple levels of influence (e.g., social networks, neighbourhoods, states) that may individually or jointly affect health and health behaviour. This provides a useful lens through which to understand the production of health behaviours in general, and drug use in particular. However, the analytic models that are commonly applied in population health sciences limit the inference we are able to draw about the determination of health behaviour by factors, likely interrelated, across levels of influence. Complex system dynamic modelling techniques may be useful in enabling the adoption of a social epidemiologic approach in health behaviour and drug use research. We provide an example of a model that aims to incorporate factors at multiple levels of influence in understanding drug dependence. We conclude with suggestions about future directions in the field and how such models may serve as virtual laboratories for policy experiments aimed at improving health behaviour.

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