The Relationship between Mustard Import and COVID-19 Deaths: A Workflow with Cross-Country Text Mining

We developed a workflow for the search and screening of natural products by drawing from worldwide experiences shared by online platform users, illustrated how to cope with COVID-19 with a text-mining approach, and statistically tested the natural product identified. We built a knowledge base, which...

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Detalles Bibliográficos
Autores principales: Zhan, Ge, Yang, Fuming, Zhang, Liangbo, Wang, Hanfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602352/
https://www.ncbi.nlm.nih.gov/pubmed/36292516
http://dx.doi.org/10.3390/healthcare10102071
Descripción
Sumario:We developed a workflow for the search and screening of natural products by drawing from worldwide experiences shared by online platform users, illustrated how to cope with COVID-19 with a text-mining approach, and statistically tested the natural product identified. We built a knowledge base, which consists of three ontologies pertaining to 7653 narratives. Mustard emerged from texting mining and knowledge engineering as an important candidate relating to COVID-19 outcomes. The findings indicate that, after controlling for the containment index, the net import of mustard is related with reduced total and new deaths of COVID-19 for the non-vaccination time period, with considerable effect size (>0.2).

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