Systems science methods reveal and address links between discrimination and health disparities in US food systems

IF 21.9 Q1 FOOD SCIENCE & TECHNOLOGY
Travis R. Moore, Danielle M. Krobath, Yuilyn A. Chang Chusan, Udita Sanga, Patrick Webb, Mark Pachucki, Adolfo Cuevas, Hugh B. Roland, Brett Grant, Christina D. Economos, Vanessa Nicholson, Shiriki Kumanyika
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引用次数: 0

Abstract

Discriminatory practices are well documented and deeply rooted in food systems. Systems science methods such as social network analysis, system dynamics modelling and agent-based modelling can help to determine how discriminatory processes arise, interact and accumulate to contribute to diet-related health disparities. Such methodological approaches can reveal leverage points for advancing equity-driven solutions.
系统科学方法揭示和解决美国食品系统中歧视与健康差异之间的联系
歧视做法有据可查,并深深植根于粮食系统。系统科学方法,如社会网络分析、系统动力学建模和基于主体的建模,可以帮助确定歧视过程如何产生、相互作用和积累,从而导致与饮食有关的健康差异。这种方法论方法可以揭示推动股权驱动型解决方案的杠杆点。
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CiteScore
28.50
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0.00%
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