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Nature and Diffusion of COVID-19–related Oral Health Information on Chinese Social Media: Analysis of Tweets on Weibo

BACKGROUND: Social media has become increasingly important as a source of information for the public and is widely used for health-related information. The outbreak of the coronavirus disease (COVID-19) has exerted a negative impact on dental practices. OBJECTIVE: The aim of this study is to analyze...

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Autores principales: Tao, Zhuo-Ying, Chu, Guang, McGrath, Colman, Hua, Fang, Leung, Yiu Yan, Yang, Wei-Fa, Su, Yu-Xiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7296975/
https://www.ncbi.nlm.nih.gov/pubmed/32501808
http://dx.doi.org/10.2196/19981
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author Tao, Zhuo-Ying
Chu, Guang
McGrath, Colman
Hua, Fang
Leung, Yiu Yan
Yang, Wei-Fa
Su, Yu-Xiong
author_facet Tao, Zhuo-Ying
Chu, Guang
McGrath, Colman
Hua, Fang
Leung, Yiu Yan
Yang, Wei-Fa
Su, Yu-Xiong
author_sort Tao, Zhuo-Ying
collection PubMed
description BACKGROUND: Social media has become increasingly important as a source of information for the public and is widely used for health-related information. The outbreak of the coronavirus disease (COVID-19) has exerted a negative impact on dental practices. OBJECTIVE: The aim of this study is to analyze the nature and diffusion of COVID-19–related oral health information on the Chinese social media site Weibo. METHODS: A total of 15,900 tweets related to oral health and dentistry information from Weibo during the COVID-19 outbreak in China (December 31, 2019, to March 16, 2020) were included in our study. Two researchers coded 1000 of the total tweets in advance, and two main thematic categories with eight subtypes were refined. The included tweets were analyzed over time and geographic region, and coded into eight thematic categories. Additionally, the time distributions of tweets containing information about dental services, needs of dental treatment, and home oral care during the COVID-19 epidemic were further analyzed. RESULTS: People reacted rapidly to the emerging severe acute respiratory syndrome coronavirus 2 threat to dental services, and a large amount of COVID-19–related oral health information was tweeted on Weibo. The time and geographic distribution of tweets shared similarities with epidemiological data of the COVID-19 outbreak in China. Tweets containing home oral care and dental services content were the most frequently exchanged information (n=4803/15,900, 30.20% and n=4478, 28.16%, respectively). Significant differences of public attention were found between various types of bloggers in dental services–related tweets (P<.001), and the tweets from the government and media engaged the most public attention. The distributions of tweets containing information about dental services, needs of dental treatment, and home oral care information dynamically changed with time. CONCLUSIONS: Our study overviewed and analyzed social media data on the dental services and oral health information during the COVID-19 epidemic, thus, providing insights for government organizations, media, and dental professionals to better facilitate oral health communication and efficiently shape public concern through social media when routine dental services are unavailable during an unprecedented event. The study of the nature and distribution of social media can serve as a useful adjunct tool to help make public health policies.
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spelling pubmed-72969752020-08-12 Nature and Diffusion of COVID-19–related Oral Health Information on Chinese Social Media: Analysis of Tweets on Weibo Tao, Zhuo-Ying Chu, Guang McGrath, Colman Hua, Fang Leung, Yiu Yan Yang, Wei-Fa Su, Yu-Xiong J Med Internet Res Original Paper BACKGROUND: Social media has become increasingly important as a source of information for the public and is widely used for health-related information. The outbreak of the coronavirus disease (COVID-19) has exerted a negative impact on dental practices. OBJECTIVE: The aim of this study is to analyze the nature and diffusion of COVID-19–related oral health information on the Chinese social media site Weibo. METHODS: A total of 15,900 tweets related to oral health and dentistry information from Weibo during the COVID-19 outbreak in China (December 31, 2019, to March 16, 2020) were included in our study. Two researchers coded 1000 of the total tweets in advance, and two main thematic categories with eight subtypes were refined. The included tweets were analyzed over time and geographic region, and coded into eight thematic categories. Additionally, the time distributions of tweets containing information about dental services, needs of dental treatment, and home oral care during the COVID-19 epidemic were further analyzed. RESULTS: People reacted rapidly to the emerging severe acute respiratory syndrome coronavirus 2 threat to dental services, and a large amount of COVID-19–related oral health information was tweeted on Weibo. The time and geographic distribution of tweets shared similarities with epidemiological data of the COVID-19 outbreak in China. Tweets containing home oral care and dental services content were the most frequently exchanged information (n=4803/15,900, 30.20% and n=4478, 28.16%, respectively). Significant differences of public attention were found between various types of bloggers in dental services–related tweets (P<.001), and the tweets from the government and media engaged the most public attention. The distributions of tweets containing information about dental services, needs of dental treatment, and home oral care information dynamically changed with time. CONCLUSIONS: Our study overviewed and analyzed social media data on the dental services and oral health information during the COVID-19 epidemic, thus, providing insights for government organizations, media, and dental professionals to better facilitate oral health communication and efficiently shape public concern through social media when routine dental services are unavailable during an unprecedented event. The study of the nature and distribution of social media can serve as a useful adjunct tool to help make public health policies. JMIR Publications 2020-06-15 /pmc/articles/PMC7296975/ /pubmed/32501808 http://dx.doi.org/10.2196/19981 Text en ©Zhuo-Ying Tao, Guang Chu, Colman McGrath, Fang Hua, Yiu Yan Leung, Wei-Fa Yang, Yu-Xiong Su. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 15.06.2020. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Tao, Zhuo-Ying
Chu, Guang
McGrath, Colman
Hua, Fang
Leung, Yiu Yan
Yang, Wei-Fa
Su, Yu-Xiong
Nature and Diffusion of COVID-19–related Oral Health Information on Chinese Social Media: Analysis of Tweets on Weibo
title Nature and Diffusion of COVID-19–related Oral Health Information on Chinese Social Media: Analysis of Tweets on Weibo
title_full Nature and Diffusion of COVID-19–related Oral Health Information on Chinese Social Media: Analysis of Tweets on Weibo
title_fullStr Nature and Diffusion of COVID-19–related Oral Health Information on Chinese Social Media: Analysis of Tweets on Weibo
title_full_unstemmed Nature and Diffusion of COVID-19–related Oral Health Information on Chinese Social Media: Analysis of Tweets on Weibo
title_short Nature and Diffusion of COVID-19–related Oral Health Information on Chinese Social Media: Analysis of Tweets on Weibo
title_sort nature and diffusion of covid-19–related oral health information on chinese social media: analysis of tweets on weibo
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7296975/
https://www.ncbi.nlm.nih.gov/pubmed/32501808
http://dx.doi.org/10.2196/19981
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