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Mapping the Complexity of Suicide by Combining Participatory Modeling and Network Science
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 cre...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10194413/ https://www.ncbi.nlm.nih.gov/pubmed/37216196 http://dx.doi.org/10.1145/3487351.3488271 |
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author | Giabbanelli, Philippe J. Galgoczy, Michael C. Nguyen, Duc M. Foy, Romain Rice, Ketra L. Nataraj, Nisha Brown, Margaret M. Harper, Christopher R. |
author_facet | Giabbanelli, Philippe J. Galgoczy, Michael C. Nguyen, Duc M. Foy, Romain Rice, Ketra L. Nataraj, Nisha Brown, Margaret M. Harper, Christopher R. |
author_sort | Giabbanelli, Philippe J. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10194413 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-101944132023-05-18 Mapping the Complexity of Suicide by Combining Participatory Modeling and Network Science Giabbanelli, Philippe J. Galgoczy, Michael C. Nguyen, Duc M. Foy, Romain Rice, Ketra L. Nataraj, Nisha Brown, Margaret M. Harper, Christopher R. Proc IEEE ACM Int Conf Adv Soc Netw Anal Min Article 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. 2021-11-08 2022-01-20 /pmc/articles/PMC10194413/ /pubmed/37216196 http://dx.doi.org/10.1145/3487351.3488271 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike International 4.0 License. |
spellingShingle | Article Giabbanelli, Philippe J. Galgoczy, Michael C. Nguyen, Duc M. Foy, Romain Rice, Ketra L. Nataraj, Nisha Brown, Margaret M. Harper, Christopher R. Mapping the Complexity of Suicide by Combining Participatory Modeling and Network Science |
title | Mapping the Complexity of Suicide by Combining Participatory Modeling and Network Science |
title_full | Mapping the Complexity of Suicide by Combining Participatory Modeling and Network Science |
title_fullStr | Mapping the Complexity of Suicide by Combining Participatory Modeling and Network Science |
title_full_unstemmed | Mapping the Complexity of Suicide by Combining Participatory Modeling and Network Science |
title_short | Mapping the Complexity of Suicide by Combining Participatory Modeling and Network Science |
title_sort | mapping the complexity of suicide by combining participatory modeling and network science |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10194413/ https://www.ncbi.nlm.nih.gov/pubmed/37216196 http://dx.doi.org/10.1145/3487351.3488271 |
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