Suppr超能文献

科学共同体的识别及其对全球疟疾研究的方法。

The Identification of Scientific Communities and Their Approach to Worldwide Malaria Research.

机构信息

Department of Biology and Geology, University of Almeria, 04120 Almeria, Spain.

Department of Engineering, University of Almeria, CeiA3. 04120 Almeria, Spain.

出版信息

Int J Environ Res Public Health. 2018 Nov 30;15(12):2703. doi: 10.3390/ijerph15122703.

Abstract

It is essential to establish a pattern to detect the strengths and weaknesses of working groups publishing on malaria, to promote coordination to facilitate the eradication of the disease. Given the complexity of the scientific network of groups and institutions studying malaria, it is necessary to use a mathematical algorithm that allows us to know the real structure of research on the disease in the world. In this work, articles with the word "malaria" in the title or author keywords gathered from Elsevier Scopus database were analyzed. By means of specific software, graphs were created. The analysis of the data allowed established different scientific communities, among which two were very diverse: one formed by those groups concerned about the vector transmission and control, and another one focused on the drug resistance of the parasite. Basic, applied, and operational research to eradicate malaria is an ambitious goal of the international institutions and the scientific community. The combination of effort and the establishment of a worldwide-scientific network that allows an effective interconnection (exchange) of knowledge, infrastructure technology, collaborators, financial resources, and datasets will contribute more effectively to end the disease.

摘要

有必要建立一种模式来检测从事疟疾研究的工作组的优势和劣势,以促进协调,促进疾病的消除。鉴于研究疟疾的团体和机构的科学网络的复杂性,有必要使用一种数学算法,使我们能够了解世界上对该病的研究的真实结构。在这项工作中,分析了从爱思唯尔 Scopus 数据库中收集的标题或作者关键字中带有“疟疾”一词的文章。通过特定的软件,创建了图表。数据分析允许建立不同的科学社区,其中两个非常多样化:一个由关注媒介传播和控制的群体组成,另一个则专注于寄生虫的抗药性。消除疟疾的基础、应用和运营研究是国际机构和科学界的一个雄心勃勃的目标。努力的结合和建立一个全球性的科学网络,使有效的互联(交流)的知识、基础设施技术、合作者、财政资源和数据集将更有效地有助于结束该疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/167b/6313382/8d269dafe9c8/ijerph-15-02703-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验