Nursing College of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
University Center Dinâmica of Cataratas, Foz do Iguaçu, Paraná, Brazil.
BMC Public Health. 2020 Jan 29;20(1):119. doi: 10.1186/s12889-020-8236-5.
Leprosy is a public health problem and a challenge for endemic countries, especially in their border regions where there are intense migration flows. The study aimed to analyse the dynamics of leprosy, in order to identify areas of risk for the occurrence of the disease and disability and places where this health condition is worsening.
This ecological study considered the new cases of leprosy reported in the municipality of Foz do Iguaçu from 2003 to 2015. Spatial and spatial-temporal scan statistics were used to identify the risk areas for the occurrence of leprosy, as well as the Getis-Ord Gi and Getis-Ord Gi* methods. Areas of risk for disabilities were identified by the scan statistic and kernel density estimation.
A total of 840 cases were reported, of which 179 (21.3%) presented Grade 1 or 2 disabilities at the time of diagnosis. Leprosy risk areas were concentrated in the Southern, Eastern and Northeastern Health Districts of the municipality. The cases of Grade 2 disability were observed with higher intensity in regions characterized by high population density and poverty.
The results of the study have revealed changes in the pattern of areas at risk of leprosy according to the investigated periods. In addition, it was possible to verify disabilities as a condition present in the investigated cases, or that may be related to the late diagnosis of the disease. In the areas of risk identified, patients have reported worse physical disability after diagnostic confirmation, or indicate inadequate clinical examination, reinforcing the need for structuring leprosy control services in a qualified manner.
麻风病是一个公共卫生问题,也是流行国家面临的挑战,尤其是在那些移民流动频繁的边境地区。本研究旨在分析麻风病的动态,以确定疾病和残疾发生的风险区域以及健康状况恶化的区域。
本生态研究分析了 2003 年至 2015 年福斯杜伊瓜苏市报告的新麻风病例。采用空间和时空扫描统计来识别麻风病发生的风险区域,以及 Getis-Ord Gi 和 Getis-Ord Gi*方法。通过扫描统计和核密度估计来识别残疾风险区域。
共报告了 840 例病例,其中 179 例(21.3%)在诊断时患有 1 级或 2 级残疾。麻风病风险区域集中在该市南部、东部和东北部卫生区。2 级残疾病例在人口密度和贫困程度较高的地区观察到更高的强度。
研究结果揭示了根据调查期间不同,麻风病风险区域的模式发生了变化。此外,还可以验证残疾是已调查病例中存在的状况,或者与疾病的晚期诊断有关。在确定的风险区域中,患者在确诊后报告了更严重的身体残疾,或者表明临床检查不足,这加强了以合格方式构建麻风病控制服务的必要性。