COVID-19-Related Information Sources and the Relationship With Confidence in People Coping with COVID-19: Facebook Survey Study in Taiwan

Author:

Wang Peng-WeiORCID,Lu Wei-HsinORCID,Ko Nai-YingORCID,Chen Yi-LungORCID,Li Dian-JengORCID,Chang Yu-PingORCID,Yen Cheng-FangORCID

Abstract

Background People obtain information on the coronavirus disease (COVID-19) from the internet and other sources. Understanding the factors related to such information sources aids health professionals in educating individuals. Objective This study used data collected from the online survey study on COVID-19 in Taiwan to examine what major COVID-19 information sources are available and which sources are significantly related to the self-confidence of people in coping with COVID-19 in Taiwan. Methods A total of 1904 participants (1270 non–health-care workers and 634 health care workers) were recruited from the Facebook advertisement. Their major sources of information about COVID-19, the relationships between the sources and demographic factors, and the relationships between the sources and the self-confidence in coping with COVID-19 were surveyed. Results Most Taiwanese people relied on the internet for COVID-19 information. Many respondents also used a variety of sources of information on COVID-19; such variety was associated with sex, age, and the level of worry toward COVID-19, as well as if one was a health care worker. For health care workers, the use of formal lessons as an information source was significantly associated with better self-confidence in coping with COVID-19. The significant association between receiving information from more sources and greater self-confidence was found only in health care workers but not in non–health-care workers. Conclusions Medical professionals should consider subgroups of the population when establishing various means to deliver information on COVID-19.

Publisher

JMIR Publications Inc.

Subject

Health Informatics

Reference17 articles.

1. Science and Engineering at Johns Hopkins20202020-05-08Modeling 2019-nCoVhttps://systems.jhu.edu/research/public-health/ncov-model/

2. World Health Organization20042020-05-08Summary of probable SARS cases with onset of illness from 1 November 2002 to 31 July 2003https://www.who.int/csr/sars/country/table2004_04_21/en/

3. Corona Virus (COVID-19) “Infodemic” and Emerging Issues through a Data Lens: The Case of China

4. Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on Twitter

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3