Spatio-temporal patterns of suicide: an ecological study
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Keywords

External Causes
Mortality
Vital Statistics
Suicide
Spatial analysis
Trends Causas Externas
Mortalidad
Estadísticas Vitales
Suicidio
Análisis Espacial
Tendencias Causas Externas
Mortalidade
Estatísticas Vitais
Suicídio
Análise Espacial
Tendências

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Abstract

Aim: to analyze the spatial and temporal distribution of mortality by suicide in residents of the state of Pernambuco from 1996 to 2015, using spatial analysis and statistical techniques. Methods: it is an ecological study that will have the municipalities as units of analysis. The data source will consist of the suicides recorded in the Mortality Information System, from 1996 to 2015. The temporal trend will be analyzed by the simple linear regression technique. From the gross coefficients of suicide mortality, the Local Empirical Bayesian method will be applied to correct random fluctuations of the indicator. The Moran Global and Local Indices will be adopted to indicate the existence of correlation and spatial clusters in the territory. Expected results: to identify temporal changes in suicide mortality in the period studied and to locate possible spatial clusters that may represent priority areas for the planning of interventions and health actions.
https://doi.org/10.17665/1676-4285.20176051
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References

World Health Organization. (2017). Global Health Observatory (GHO) data. Available from:http://www.who.int/gho/mental_health/suicide_rates_crude/en/

Aktas, S. G; kantar Y. M. A Study of Suicide Mortality in Turkey (2002-2011). Journal of EU Research in Business [Internet]. 2017 Feb [cited 2017 jul 30]. Available from: http://ibimapublishing.com/articles/JEURB/2016/864344/

Bailey, T.C. Spatial statistical methods in health. Cad Saúde Pública [Internet]. 2001 Oct [cited 2017 ago 24]; 17(5): 1083-98. Available from: https://www.ncbi.nlm.nih.gov/pubmed/11679885