应用空间分析方法计算了穆里亚森- mg地区肺癌的发病率

Myrian Nascimento de Barros, Edivaldo Da Silva Souza, Jugurta Lisboa-Filho
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引用次数: 0

摘要

癌症是一个发病率和死亡率都很高的公共卫生问题,即某一人口群体中因某种特定疾病而死亡的人数,是世界上第二大死亡原因。肺癌是世界上最常见的恶性疾病。晚期诊断,在疾病的晚期,降低病人的预期寿命。目前的工作涉及使用空间分析工具来呈现肺癌发病率的空间化,在医院的协助下,在微区域内,由国立癌症医院de muria (HCM),并绘制不同分期组。因此,对2019 - 2020年临床诊断为肺癌的HCM患者的病历进行分析。为此,ETL过程(提取、转换和加载)在将数据加载到数据库中以及根据数据库中包含的社区信息、城市和州识别地理坐标(纬度和经度)的步骤中发挥了重要的作用。通过地理参考和分析工具以及空间制图,可以制作显示该疾病的地理因素和流行病学因素之间不同关系的专题地图,这是支持预防和流行病学控制行动的重要工具。
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Using spatial analysis to calculate the incidence of lung cancer in the region of Muriaé-MG
Cancer is a public health problem with high morbidity and mortality, that is, the rate of people killed as a result of a specific disease within a given population group, being the second leading cause of death in the world. Lung cancer is the most common malignant disease worldwide. Late diagnosis, with the disease at an advanced stage, decreases the patient's life expectancy. The present work deals with the use of spatial analysis tools to present the spatialization of the incidence of lung cancer, in the microregions assisted by the Hospital do Câncer de Muriaé (HCM), and to map the different staging groups. Therefore, the medical records of patients treated at the HCM, from 2019 to 2020, with a clinical diagnosis of lung cancer, were analyzed. For this, the ETL process (Extract, Transform and Load) presented itself as an important tool in loading the data to the database, and in the step to identify the geographic coordinates (latitude and longitude) based on neighborhood information, city and state, contained in the database. Through georeferencing and analysis tools and spatial mapping, it was possible to generate thematic maps showing different relationships between geographic and epidemiological factors of the disease, being an important instrument to support prevention and epidemiological control actions.
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