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
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author Zhan, Ge
Yang, Fuming
Zhang, Liangbo
Wang, Hanfeng
author_facet Zhan, Ge
Yang, Fuming
Zhang, Liangbo
Wang, Hanfeng
author_sort Zhan, Ge
collection PubMed
description 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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spelling pubmed-96023522022-10-27 The Relationship between Mustard Import and COVID-19 Deaths: A Workflow with Cross-Country Text Mining Zhan, Ge Yang, Fuming Zhang, Liangbo Wang, Hanfeng Healthcare (Basel) Article 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). MDPI 2022-10-18 /pmc/articles/PMC9602352/ /pubmed/36292516 http://dx.doi.org/10.3390/healthcare10102071 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhan, Ge
Yang, Fuming
Zhang, Liangbo
Wang, Hanfeng
The Relationship between Mustard Import and COVID-19 Deaths: A Workflow with Cross-Country Text Mining
title The Relationship between Mustard Import and COVID-19 Deaths: A Workflow with Cross-Country Text Mining
title_full The Relationship between Mustard Import and COVID-19 Deaths: A Workflow with Cross-Country Text Mining
title_fullStr The Relationship between Mustard Import and COVID-19 Deaths: A Workflow with Cross-Country Text Mining
title_full_unstemmed The Relationship between Mustard Import and COVID-19 Deaths: A Workflow with Cross-Country Text Mining
title_short The Relationship between Mustard Import and COVID-19 Deaths: A Workflow with Cross-Country Text Mining
title_sort relationship between mustard import and covid-19 deaths: a workflow with cross-country text mining
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602352/
https://www.ncbi.nlm.nih.gov/pubmed/36292516
http://dx.doi.org/10.3390/healthcare10102071
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