Mapping the Complexity of Suicide by Combining Participatory Modeling and Network Science.

Philippe J Giabbanelli, Michael C Galgoczy, Duc M Nguyen, Romain Foy, Ketra L Rice, Nisha Nataraj, Margaret M Brown, Christopher R Harper
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Abstract

Suicide rates are steadily increasing among youth in the USA. Although several theories and frameworks of suicide have been developed, they do not account for some of the features that define suicide as a complex problem, such as a large number of interrelationships and cycles. In this paper, we create the first c omprehensive m ap o f a dverse c hildhood experiences (ACEs) and suicide for youth, by combining a participatory approach (involving 15 subject-matter experts) and network science. This results in a map of 946 edges and 361 concepts, in which we identify ACEs to be the most important factor (per degree centrality). The map is openly shared with the community to support further network analyses (e.g., decomposition into clusters). Similarly to the high-impact Foresight Map developed in the context of obesity, the largest map on suicide and ACEs to date presented in this paper can start a discussion at the crossroad of suicide research and network science, thus bringing new means to address a complex public health challenge.

Abstract Image

参与式模型与网络科学相结合,映射自杀的复杂性。
美国年轻人的自杀率正在稳步上升。尽管已经发展了一些关于自杀的理论和框架,但它们并没有考虑到将自杀定义为一个复杂问题的一些特征,例如大量的相互关系和循环。在本文中,我们通过将参与式方法(涉及15名主题专家)和网络科学相结合,创建了第一个关于不同童年经历(ace)和青少年自杀的综合地图。这导致了946条边和361个概念的地图,其中我们确定ace是最重要的因素(每度中心性)。该地图与社区公开共享,以支持进一步的网络分析(例如,分解成集群)。与在肥胖背景下开发的高影响力的Foresight Map类似,本文中迄今为止最大的自杀和ace地图可以在自杀研究和网络科学的十字路口开始讨论,从而为解决复杂的公共卫生挑战带来新的手段。
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