ANALYSIS OF THE SPATIAL-TEMPORAL DISTRIBUTION OF SELF-INFLECTED INJURY NOTIFICATIONS IN THE STATE OF SÃO PAULO BETWEEN 2018 AND 2021

Authors

  • Maria Carolina da Mota Serrano Universidade Estadual Paulista Júlio de Mesquita Filho – UNESP
  • Allan Alves Lopes Ferreira UNIVERSIDADE ESTADUAL PAULISTA JÚLIO DE MESQUITA FILHO – UNESP
  • Edmur Azevedo Pugliesi
  • Ana Paula Marques Ramos UNOESTE - University of Western São Paulo

Keywords:

violência autoprovocada, análise espacial, análise de tendência

Abstract

Self-harm is considered a public health problem and can be categorized as a form of interpersonal and self-harm violence, characterized by significant rates of occurrence on a global scale. In Brazil, few spatial analysis studies have explored this problem. The present work aims to detect and identify the spatial distribution of the rate of self-harm between the years 2018 and 2021. The methodology includes obtaining and organizing data, descriptive analysis of the rates calculated per 100,000 inhabitants, exploratory analysis with statistical tests and quantitative thematic mapping, as well as analysis of the spatial pattern using global and local Moran indices. The results reveal large clusters of high rates of self-inflicted violence in municipalities that are in the regional health department of São José do Rio Preto, and large clusters of low rates in the regional health department of Greater São Paulo and surroundings, throughout the four years studied. Comparing the two periods, during the pandemic caused by SARS-CoV-2, there was a reduction in the absolute number of occurrences. Despite this, the spatial patterns were consistent over the four years. These findings can guide future research on the problem of self-inflicted injury.

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Author Biography

  • Ana Paula Marques Ramos, UNOESTE - University of Western São Paulo

    Graduated in Cartographic Engineering by the School of Sciences and Technology from São Paulo State University (UNESP). Master and Ph.D. in Cartographic Sciences by UNESP. Currently is a Professor Ph.D. at the University of Western São Paulo (UNOESTE). Develops research in the Geomatic area, focusing on thematic Cartography and Remote Sensing applied to environmental problems. Recently has started researches focused on the evaluation and application of Artificial Intelligence (Machine Learning; Deep Learning) in remote sensing data. https://orcid.org/0000-0001-6633-2903 

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Published

2024-01-09

How to Cite

ANALYSIS OF THE SPATIAL-TEMPORAL DISTRIBUTION OF SELF-INFLECTED INJURY NOTIFICATIONS IN THE STATE OF SÃO PAULO BETWEEN 2018 AND 2021. (2024). Colloquium Exactarum. ISSN: 2178-8332, 15(1), e234779. https://journal.unoeste.br/index.php/ce/article/view/4779

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