论文标题
使用动脉高血压患病率的合成数据分析急性冠状动脉综合征病例的空间分布
Analyzing the spatial distribution of acute coronary syndrome cases using synthesized data on arterial hypertension prevalence
论文作者
论文摘要
在当前的研究中，作者演示了旨在分析使用合成种群方法和动脉高压患病率的统计模型分析圣彼得堡急性冠状动脉综合征（ACS）病例的分布的方法。与ACS相关的单独地理区域（地图的网格单元）中累积的紧急服务呼叫与评估的居民和动脉高压的个人相匹配，这使得可以找到过度ACS发生率的位置。提出的方法以Python编程语言实现，使用QGIS Open软件显示可视化结果。根据分析结果提出了三类位置。可以使用所证明的方法用于使用对人群中隐藏健康状况的统计评估，以对其可见后果的空间分布进行分类。
In the current study, the authors demonstrate the method aimed at analyzing the distribution of acute coronary syndrome (ACS) cases in Saint Petersburg using the synthetic population approach and a statistical model for arterial hypertension prevalence. The cumulative number of emergency services calls in a separate geographical area (a grid cell of a map) associated with ACS is matched with the assessed number of dwellers and individuals with arterial hypertension, which makes it possible to find locations with excessive ACS incidence. The proposed method is implemented in Python programming language, the visualization results are shown using QGIS open software. Three categories of locations are proposed based on the analysis results. The demonstrated method might be applied for using the statistical assessments of hidden health conditions in the population to categorize spatial distributions of their visible consequences.
