Important Medicinal Plant Families in Thailand.

Bayesian analysis binomial analysis ethnomedicine family importance linear regression relative regression residual

Journal

Frontiers in pharmacology
ISSN: 1663-9812
Titre abrégé: Front Pharmacol
Pays: Switzerland
ID NLM: 101548923

Informations de publication

Date de publication:
2019
Historique:
received: 13 04 2019
accepted: 30 08 2019
entrez: 15 10 2019
pubmed: 15 10 2019
medline: 15 10 2019
Statut: epublish

Résumé

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.

Identifiants

pubmed: 31607932
doi: 10.3389/fphar.2019.01125
pmc: PMC6774001
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1125

Informations de copyright

Copyright © 2019 Phumthum, Balslev and Barfod.

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Auteurs

Methee Phumthum (M)

Ecoinformatics and Biodiversity, Department of Bioscience, Aarhus University, Aarhus, Denmark.

Henrik Balslev (H)

Ecoinformatics and Biodiversity, Department of Bioscience, Aarhus University, Aarhus, Denmark.

Anders S Barfod (AS)

Ecoinformatics and Biodiversity, Department of Bioscience, Aarhus University, Aarhus, Denmark.

Classifications MeSH