Phumthum Methee, Balslev Henrik, Barfod Anders S
Ecoinformatics and Biodiversity, Department of Bioscience, Aarhus University, Aarhus, Denmark.
Front Pharmacol. 2019 Sep 25;10:1125. doi: 10.3389/fphar.2019.01125. eCollection 2019.
Throughout the world, surveys have been conducted at the country level to answer research questions pertaining to ethnomedicinal usage patterns. This study is focused on Thailand, which has never been surveyed systematically in this way. We mined 16,000 records of medicinal plant use from 64 scientific reports, which were published from 1990 to 2014. In total, 2,187 plant species were cited as being useful for medicinal purposes. The overall aim was to reveal the relative importance of the plant families for pharmacological research. To determine the most important medicinal plant families, we use a combination of three statistical approaches: linear regression, Binomial analysis, and Bayesian analysis. At the regional level, 19 plant families repeatedly stood out as being the most important from an ethnomedicinal perspective.
在全球范围内,已在国家层面开展了多项调查,以回答与民族药用使用模式相关的研究问题。本研究聚焦于泰国,该国从未以这种方式进行过系统调查。我们从1990年至2014年发表的64份科学报告中挖掘了16000条药用植物使用记录。总共引用了2187种植物具有药用价值。总体目标是揭示植物科对于药理学研究的相对重要性。为了确定最重要的药用植物科,我们结合使用了三种统计方法:线性回归、二项式分析和贝叶斯分析。在区域层面,从民族药用角度来看,有19个植物科反复脱颖而出,成为最重要的科。