Technology Institute, Federal University of Para, Belém, PA, Brazil.
Dermato-Immunology Laboratory, Federal University of Para, Marituba, PA, Brazil.
PLoS One. 2023 Feb 13;18(2):e0276508. doi: 10.1371/journal.pone.0276508. eCollection 2023.
Leprosy, also known as Hansen's, is one of the listed neglected tropical diseases as a major health problem global. Treatment is one of the main alternatives, however, the scarcity of medication and its poor distribution are important factors that have driven the spread of the disease, leading to irreversible and multi-resistant complications. This paper uses a distribution methodology to optimize medication administration, taking into account the most relevant attributes for the epidemiological profile of patients and the deficit in treatment via Polychemotherapy. Multi-criteria Decision Methods were applied based on AHP-Electre model in a database with information from patients in the state of Para between 2015 and 2020. The results pointed out that 84% of individuals did not receive any treatment and, among these, the method obtained a gain in the distribution of 68% in patients with positive diagnosis for leprosy.
麻风病,也称为汉森病,是全球主要健康问题之一,被列为被忽视的热带病之一。治疗是主要的选择之一,然而,药物的稀缺和分布不均是导致疾病传播的重要因素,导致不可逆转和多耐药性并发症。本文使用一种分配方法来优化药物管理,考虑到患者流行病学特征和多药化疗治疗不足的最相关属性。多标准决策方法基于 AHP-Electre 模型应用于一个包含 2015 年至 2020 年来自帕拉州患者信息的数据库。结果表明,84%的个体未接受任何治疗,其中该方法在麻风病阳性诊断患者的分布中获得了 68%的增益。