Laboratory of Emerging Infectious Diseases, School of Medicine, Pontifical Catholic University of Paraná, Rua Imaculada Conceição 1155, Curitiba, Paraná 80215-901, Brazil.
Departamento de Doenças Infecciosas e Parasitária da Faculdade de Medicina da Universidade de São Paulo São Paulo, Av. Dr Arnaldo 455, São Paulo 05403-000, Brazil.
Trans R Soc Trop Med Hyg. 2022 Nov 1;116(11):981-985. doi: 10.1093/trstmh/trac047.
Human leishmaniasis is a neglected tropical disease (NTD) with high morbidity and is endemic in low- to middle-income countries. Its diagnosis, treatment and epidemiological control methods are outdated and obsolete, which has become a challenge for health practitioners in controlling the disease. Computational methods have proven to be beneficial and have become popular in many fields of medicine, especially in affluent countries. However, they have not been widely used for NTDs. To date, few computational technologies have been employed for leishmaniasis. Although new technologies in leishmaniasis are theorized, they have only been minimally applied and have not been updated, even in other infections. Research and development on NTDs suffers from the inherent difficulties of the demographic regions the diseases afflict. In this narrative review we described the e-tools available in managing leishmaniasis, ranging from drug discovery to treatment.
人利什曼病是一种被忽视的热带病（NTD），发病率高，流行于中低收入国家。其诊断、治疗和流行病学控制方法已经过时，这给卫生工作者控制该疾病带来了挑战。计算方法已被证明是有益的，并在医学的许多领域得到了广泛应用，尤其是在富裕国家。然而，它们在 NTD 中的应用并不广泛。迄今为止，用于利什曼病的计算技术很少。尽管有新的利什曼病技术理论，但它们仅得到了最小程度的应用，甚至在其他感染中也没有得到更新。对 NTD 的研究和开发受到疾病流行地区固有困难的影响。在这篇叙述性综述中，我们描述了可用于管理利什曼病的电子工具，从药物发现到治疗。
