Suppr超能文献

遥感、地理信息系统(GIS)和生物信息学在黑热病流行病学中的作用。

Role of remote sensing, geographical information system (GIS) and bioinformatics in kala-azar epidemiology.

作者信息

Bhunia Gouri Sankar, Dikhit Manas Ranjan, Kesari Shreekant, Sahoo Ganesh Chandra, Das Pradeep

机构信息

Rajendra Memorial Research Institute of Medical Sciences (ICMR), Agamkuan, Patna, Bihar 800007, India.

出版信息

J Biomed Res. 2011 Nov;25(6):373-84. doi: 10.1016/S1674-8301(11)60050-X.

Abstract

Visceral leishmaniasis or kala-azar is a potent parasitic infection causing death of thousands of people each year. Medicinal compounds currently available for the treatment of kala-azar have serious side effects and decreased efficacy owing to the emergence of resistant strains. The type of immune reaction is also to be considered in patients infected with Leishmania donovani (L. donovani). For complete eradication of this disease, a high level modern research is currently being applied both at the molecular level as well as at the field level. The computational approaches like remote sensing, geographical information system (GIS) and bioinformatics are the key resources for the detection and distribution of vectors, patterns, ecological and environmental factors and genomic and proteomic analysis. Novel approaches like GIS and bioinformatics have been more appropriately utilized in determining the cause of visearal leishmaniasis and in designing strategies for preventing the disease from spreading from one region to another.

摘要

内脏利什曼病或黑热病是一种严重的寄生虫感染,每年导致数千人死亡。由于耐药菌株的出现,目前可用于治疗黑热病的药物化合物有严重的副作用且疗效降低。对于感染杜氏利什曼原虫(L. donovani)的患者,免疫反应类型也需要考虑。为了彻底根除这种疾病,目前在分子层面和实地层面都在进行高水平的现代研究。诸如遥感、地理信息系统(GIS)和生物信息学等计算方法是检测病媒、模式、生态和环境因素以及基因组和蛋白质组分析的关键资源。像GIS和生物信息学这样的新方法已更适当地用于确定内脏利什曼病的病因以及设计防止疾病从一个地区传播到另一个地区的策略。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验