Júnior José Francisco Martoreli, Ramos Antônio Carlos Vieira, Alves Josilene Dália, Berra Thaís Zamboni, Alves Yan Mathias, Tavares Reginaldo Bazon Vaz, Ferezin Letícia Perticarrara, Teibo Titilade Kehinde Ayandeyi, Arcêncio Ricardo Alexandre
Department of Maternal-Infant and Public Health Nursing, University of São Paulo at Ribeirão Preto College of Nursing, Ribeirão Preto, São Paulo, Brazil.
Department of Nursing, State University of Minas Gerais, Passos, Minas Gerais, Brazil.
Arch Public Health. 2024 Dec 30;82(1):246. doi: 10.1186/s13690-024-01484-1.
It is known that leprosy is a socially determined disease, but most studies using spatial analysis have not considered the vulnerabilities present in these territories.
To measure the association between social vulnerability and the burden of leprosy in the urban space of Cuiabá.
Ecological study, carried out in Cuiabá, Brazil. Diagnosed cases of leprosy were surveyed through the Notifiable Diseases Information System, from 2008 to 2018. The spatial scan statistics technique of leprosy cases per each Human Development Unit was applied. Social vulnerability was measured based on the Municipal Human Development Index (MHDI), education level and average per capita income. For the spatial correlation between vulnerability and leprosy, Global and local bivariate Moran's index was used.
8389 cases of leprosy were georeferenced, the majority being male (58%), 30% of cases were not evaluated for degree of physical disability. One of the spatial scan clusters had a relative risk (RR) of 6.93 (95% CI 6.49-7.4), and another had 1360 cases with RR 1.71 (95% CI 1.62-1.82). The bivariate global autocorrelation of Moran's index for MHDI was 0.579, observing 1 High-High in the East region and 1 in South, for education the index was 0.429, 2 High-High in the East and 1 in the South, and 0.145 for average per capita income, 1 High-High in the East.
There was a spatial association between leprosy cases and territories with low MHDI, having a percentage of the population without schooling and/or with low income. The study advances knowledge by presenting characteristics of territories most affected by leprosy, verifying the spatial correlation of the disease with the recurrent socioeconomic characteristics in these territories.
众所周知,麻风病是一种由社会因素决定的疾病,但大多数使用空间分析的研究并未考虑这些地区存在的脆弱性。
衡量社会脆弱性与库亚巴城市空间中麻风病负担之间的关联。
在巴西库亚巴进行的生态学研究。通过法定传染病信息系统对2008年至2018年期间诊断出的麻风病病例进行调查。应用了每个人类发展单元的麻风病病例空间扫描统计技术。基于城市人类发展指数(MHDI)、教育水平和人均收入来衡量社会脆弱性。对于脆弱性与麻风病之间的空间相关性,使用了全局和局部双变量莫兰指数。
8389例麻风病病例进行了地理定位,大多数为男性(58%),30%的病例未评估身体残疾程度。其中一个空间扫描聚类的相对风险(RR)为6.93(95%可信区间6.49 - 7.4),另一个有1360例病例,RR为1.71(95%可信区间1.62 - 1.82)。MHDI的莫兰指数双变量全局自相关为0.579,在东部地区观察到1个高 - 高聚类,在南部有1个;教育方面该指数为0.429,东部有2个高 - 高聚类,南部有1个;人均收入为0.145,东部有1个高 - 高聚类。
麻风病病例与MHDI较低、有一定比例人口未受过教育和/或收入较低的地区之间存在空间关联。该研究通过呈现受麻风病影响最严重地区的特征,验证了疾病与这些地区反复出现的社会经济特征之间的空间相关性,从而推进了相关知识。