Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
Important Medicinal Plant Families in Thailand. / Phumthum, Methee; Balslev, Henrik; Barfod, Anders S.
In: Frontiers in Pharmacology, Vol. 10, 1125, 25.09.2019.Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
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TY - JOUR
T1 - Important Medicinal Plant Families in Thailand
AU - Phumthum, Methee
AU - Balslev, Henrik
AU - Barfod, Anders S.
PY - 2019/9/25
Y1 - 2019/9/25
N2 - 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.
AB - 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.
KW - ethnomedicine
KW - family importance
KW - Bayesian analysis
KW - binomial analysis
KW - linear regression
KW - relative regression residual
KW - FLORA
KW - DIVERSITY
KW - HMONG
U2 - 10.3389/fphar.2019.01125
DO - 10.3389/fphar.2019.01125
M3 - Journal article
C2 - 31607932
VL - 10
JO - Frontiers in Pharmacology
JF - Frontiers in Pharmacology
SN - 1663-9812
M1 - 1125
ER -