Programa de Pós-Graduação em Epidemiologia e Vigilância em Saúde, Instituto Evandro Chagas, Secretaria de Vigilância em Saúde, Ministério da Saúde, Belém, PA, Brasil.
Laboratório de Epidemiologia e Geoprocessamento, Centro de Ciências Biológicas e da Saúde, Universidade do Estado do Pará, Belém, PA, Brasil.
Braz J Med Biol Res. 2022 Jan 25;55:e11544. doi: 10.1590/1414-431X2021e11544. eCollection 2022.
The aim of this study was to analyze the spatio-temporal distribution of tuberculosis (TB) in the elderly population in the city of Belém, PA from 2011 to 2015 according to the Living Conditions Index (LCI). This was an epidemiological, descriptive, ecological, and retrospective study involving 1,134 cases. Data were collected through the Information System of Notifiable Diseases (SINAN). For data analysis, we used the incidence coefficient, global and local empirical Bayesian model, Kernel density, and Kernel ratio. The construction of the LCI was based on the United Nations Development Program (UNDP) method. The incidence of TB remained the same over the five years studied. No neighborhood was found to have a high incidence of TB and a high LCI, but most of the cases occurred in the south of the city where the neighborhoods with the most precarious conditions are located. Moreover, the lowest incidence was in neighborhoods that historically had better infrastructure. Spatial analysis tools facilitate studies on the dynamics of disease transmission such as TB. In this study, it was shown that TB is heterogeneously distributed throughout the municipality. Living conditions, especially in slums, influenced TB incidence.
本研究旨在根据生活条件指数（LCI）分析 2011 年至 2015 年帕拉州贝伦市老年人群结核病（TB）的时空分布。这是一项涉及 1134 例病例的流行病学、描述性、生态学和回顾性研究。数据通过传染病报告信息系统（SINAN）收集。为了数据分析，我们使用了发病率系数、全局和局部经验贝叶斯模型、核密度和核比。LCI 的构建基于联合国开发计划署（UNDP）的方法。在研究的五年中，TB 的发病率保持不变。没有发现任何一个街区的 TB 发病率和 LCI 都很高，但大多数病例发生在城市南部，那里是条件最不稳定的街区。此外，发病率最低的街区是历史上基础设施较好的街区。空间分析工具有助于研究结核病等疾病传播的动态。在这项研究中，表明 TB 在整个城市呈异质分布。生活条件，尤其是贫民窟的生活条件，影响着 TB 的发病率。
