Análise exploratória de dados do SIATE Paraná

Abstract

The intersection between applied mathematics and practical reality has become increasingly relevant in the analysis and understanding of complex contemporary problems, particularly in the context of emergency response systems. This study presents an exploratory analysis of data from the Integrated System for Trauma and Emergency Care (SIATE) in the state of Paraná, Brazil, covering the period from 2018 to 2023. With a descriptive focus and grounded in quantitative methods, the research aims to characterize the temporal, spatial, and demographic distribution of emergency occurrences, emphasizing the identification of high-demand areas and recurrent operational patterns. Statistical analysis techniques and data visualization tools were applied, combined with spatial segmentation based on Euclidean distance from fire brigade stations (Voronoi diagram), to define operational zones and highlight asymmetries in coverage and service demand. The complexity of the dataset required a multidisciplinary approach, integrating statistics, programming, and data science to convert operational records into structured insights. While the results do not aim to establish causal relationships, they provide technical support for future research and public policy planning aimed at optimizing the prehospital emergency response system in Paraná.