2012-2021年云南省乳腺癌死亡率时空变化趋势分析。

IF 2
Sandy Gabrielle Pelegrini Dos Santos, Carolina Fordellone Rosa Cruz, Kelly Holanda Prezotto, Ricardo Castanho Moreira, Maria José Quina Galdino, Rosana Rosseto Oliveira, Alessandro Rolim Scholze, Emiliana Cristina Melo
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引用次数: 0

摘要

目的:分析2012 - 2021年帕南州乳腺癌死亡率的时间趋势并确定其空间聚类。方法:这是一项时间序列研究,对parparan 399个市的乳腺癌死亡率进行了空间分析。数据选自死亡率信息系统。采用Prais-Winsten自回归方法进行时间序列分析。Getis-Ord Gi*技术用于识别空间集群。结果:共报告了8,819例乳腺癌死亡,其中paranar呈上升趋势(年百分比变化[APC] +1.83; 95%可信区间[95% ci] 0.86; 2.82)。国家东部宏观区域较为突出(APC +4.27; 95%CI 2.27; 6.32)。空间分析显示,标准化死亡率较高的地区在西部和北部宏观区域,标准化死亡率较低的地区在东部宏观区域。结论:2012-2021年期间,帕拉纳岛的乳腺癌死亡人数有所增加。趋势分析表明,这一现象主要在东部宏观区域增长。在空间分析中,西部和北部宏观区域的事件集中度最高。这些结果表明了该州需要立即干预的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Temporal trend and spatial analysis of breast cancer mortality in Paraná, 2012-2021.

Temporal trend and spatial analysis of breast cancer mortality in Paraná, 2012-2021.

Temporal trend and spatial analysis of breast cancer mortality in Paraná, 2012-2021.

Temporal trend and spatial analysis of breast cancer mortality in Paraná, 2012-2021.

Objectives: To analyze the temporal trend and identify spatial clusters of breast cancer mortality in Paraná state between 2012 and 2021.

Methods: This was a time series study, with spatial analysis of breast cancer mortality rates in the 399 municipalities of Paraná. Data were selected from the Mortality Information System. Time series analysis was performed using the Prais-Winsten autoregression method. The Getis-Ord Gi* technique was used to identify spatial clusters.

Results: A total of 8,819 breast cancer deaths were reported, with a rising trend in Paraná (annual percentage change [APC] +1.83; 95% confidence interval [95%CI] 0.86; 2.82). The East macro-region of the state stood out (APC +4.27; 95%CI 2.27; 6.32). Spatial analysis showed areas with a higher standardized mortality rate in the West and North macro-regions and areas with a lower rate in the East macro-region.

Conclusion: In the period 2012-2021, there was an increase in breast cancer deaths in Paraná. Trend analysis showed that the phenomenon grew mainly in the East macro-region. In the spatial analysis, the West and North macro-regions had the highest concentration of the event. These results indicate areas in need of immediate intervention in the state.

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