Social epidemiology and complex system dynamic modelling as applied to health behaviour and drug use research.
Social epidemiology and complex system dynamic modelling as applied to health behaviour and drug use research.
复制标题
社会流行病学和复杂系统动态建模应用于健康行为和药物使用研究。
DOI:
10.1016/j.drugpo.2008.08.005
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发表时间:
2009-05
影响因子:
4.4
通讯作者:
Kaplan, George A.
中科院分区:
文献类型:
--
作者:
Galea, Sandro;Hall, Chris;Kaplan, George A.
A social epidemiologic perspective considers factors at multiple levels of influence (e.g., social networks, neighborhoods, 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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影响因子:
5.4
作者:
Galea, S;Ahern, J;Karpati, A
通讯作者:
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影响因子:
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DOI:
10.1073/pnas.082081099
发表时间:
2002-05-14
影响因子:
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通讯作者:
Cederman, LE
DOI:
10.1073/pnas.092080799
发表时间:
2002-05-14
影响因子:
11.1
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通讯作者:
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