Estudo espaço-temporal do suicídio: uma pesquisa bibliográfica sobre técnicas
Abstract
Close to 800,000 people commit suicide worldwide each year, that is one person every 40 seconds. Identifying subpopulations at risk is important for developing preventive strategies. In this article, we present a survey of data science techniques that were implemented in this area. We classify techniques into six phases: data, suicide rate calculation method, descriptive analysis, spatial analysis, temporal analysis, and multivariate analysis. We discuss the various choices of techniques in each of these categories.References
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Jaen-Varas, D. et al. (2019) “The association between adolescent suicide rates and socioeconomic indicators in Brazil: a 10-year retrospective ecological study”, Brazilian Journal of Psychiatry. Kulldorff, M. et al. (2005) “A space-time permutation scan statistic for disease outbreak detection”, PLoS Medicine, v. 2, n. 3, p. 0216–0224.
Saman, D. M. et al. (2012) “Does place of residence affect risk of suicide? a spatial epidemiologic investigation in Kentucky from 1999 to 2008”, BMC Public Health, v. 12, n. 1, p. 108. Santos, E. G. DE O.; Barbosa, I. R.; Severo, A. K. S. (2020) “Space-time analysis of mortality by suicide in the state of Rio Grande do norte, Brazil, in the period from 2000 to 2015”, Ciencia e Saude Coletiva, v. 25, n. 2, p. 633–643.
Sy, K. T. L. et al. (2019) “Spatiotemporal clustering of suicides in the US from 1999 to 2016: a spatial epidemiological approach”, Social Psychiatry and Psychiatric Epidemiology, v. 54, n. 12, p. 1471–1482.
Who World Health Organization (2020) prevention”, “Suicide https://www.who.int/health-topics/suicide. Acesso em: 11 abr. 2020.
Yamaoka, K. et al. (2020) “Spatial clustering of suicide mortality and associated community characteristics in Kanagawa prefecture, Japan, 2011-2017”, BMC Psychiatry, v. 20, n. 1, p. 1–15.
De Arruda, V. L. et al. (2021) “Suicídio Em Adultos Jovens Brasileiros: Série Temporal De 1997 a 2019”, Ciência & Saúde Coletiva, p. 2699–2708.
Dada, S. G. e Saraiva, A. M. (2020) “Estudo espaço-temporal do suicídio nas cidades brasileiras”, Exame de Qualificação de Mestrado em Ciências, Escola Politécnica da Universidade de São Paulo, São Paulo.
Egger M.; Smith G.D.; Altman D. (2008) “Systematic reviews in health care: metaanalysis in context”, John Wiley & Sons.
Fontanella, C. A. et al. (2018) “Mapping suicide mortality in Ohio: A spatial epidemiological analysis of suicide clusters and area level correlates”, Preventive Medicine, v. 106, p. 177–184.
Jaen-Varas, D. et al. (2019) “The association between adolescent suicide rates and socioeconomic indicators in Brazil: a 10-year retrospective ecological study”, Brazilian Journal of Psychiatry. Kulldorff, M. et al. (2005) “A space-time permutation scan statistic for disease outbreak detection”, PLoS Medicine, v. 2, n. 3, p. 0216–0224.
Saman, D. M. et al. (2012) “Does place of residence affect risk of suicide? a spatial epidemiologic investigation in Kentucky from 1999 to 2008”, BMC Public Health, v. 12, n. 1, p. 108. Santos, E. G. DE O.; Barbosa, I. R.; Severo, A. K. S. (2020) “Space-time analysis of mortality by suicide in the state of Rio Grande do norte, Brazil, in the period from 2000 to 2015”, Ciencia e Saude Coletiva, v. 25, n. 2, p. 633–643.
Sy, K. T. L. et al. (2019) “Spatiotemporal clustering of suicides in the US from 1999 to 2016: a spatial epidemiological approach”, Social Psychiatry and Psychiatric Epidemiology, v. 54, n. 12, p. 1471–1482.
Who World Health Organization (2020) prevention”, “Suicide https://www.who.int/health-topics/suicide. Acesso em: 11 abr. 2020.
Yamaoka, K. et al. (2020) “Spatial clustering of suicide mortality and associated community characteristics in Kanagawa prefecture, Japan, 2011-2017”, BMC Psychiatry, v. 20, n. 1, p. 1–15.
Published
2021-08-26
How to Cite
DADA, Sheila G.; RODRIGUES, Mônica A.; C. JUNIOR, Etienne A.; BARROZO, Ligia V.; SCANAVINO, Marco T.; SALDIVA, Paulo H. N.; SARAIVA, Antonio M..
Estudo espaço-temporal do suicídio: uma pesquisa bibliográfica sobre técnicas. In: REGIONAL SCHOOL OF APPLIED COMPUTING FOR HEALTH (ERCAS), 8. , 2021, São Paulo.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 70-73.
DOI: https://doi.org/10.5753/ercas.2021.17442.
