Evolving public behavior and attitudes towards COVID-19 and face masks in Taiwan: A social media study

被引:10
作者
Chin, Chih-Yu [1 ]
Liu, Chang-Pan [2 ,3 ]
Wang, Cheng-Lung [4 ]
机构
[1] Chung Yuan Christian Univ, Dept Informat Management, Taoyuan, Taiwan
[2] MacKay Mem Hosp, Dept Internal Med, Taipei, Taiwan
[3] MacKay Med Coll, Dept Med, New Taipei, Taiwan
[4] Big Data Co Ltd, Taipei, Taiwan
关键词
PERCEPTION; FEAR;
D O I
10.1371/journal.pone.0251845
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Facing the COVID-19 pandemic, Taiwan demonstrated resilience at the initial stage of epidemic prevention, and effectively slowed down its spread. This study aims to document public epidemic awareness of COVID-19 in Taiwan through collecting social media- and Internet-based data, and provide valuable experience of Taiwan's response to COVID-19, involving citizens, news media, and the government, to aid the public in overcoming COVID-19, or infectious diseases that may emerge in the future. The volume of Google searches related to COVID-19 and face masks was regarded as an indicator of public epidemic awareness in the study. A time-series analysis was used to explore the relationships among public epidemic awareness and other COVID-19 relevant variables, which were collected based on big data analysis. Additionally, the content analysis was adopted to analyze the transmission of different types of fear information related to COVID-19 and their effects on the public. Our results indicate that public epidemic awareness was significantly correlated with the number of confirmed cases in Taiwan and the number of news reports on COVID-19 (correlation coefficient: .33-.56). Additionally, the findings from the content analysis suggested that the fear of the loss of control best explains why panic behavior occurs among the public. When confronting the highly infectious COVID-19, public epidemic awareness is vital. While fear is an inevitable result when an emerging infectious disease occurs, the government can convert resistance into assistance by understanding why fear arises and which fear factors cause excessive public panic. Moreover, in the digitalization era, online and social media activities could reflect public epidemic awareness that can e harnessed for epidemic control.
引用
收藏
页数:22
相关论文
共 59 条
[1]   Influence of Social Media Platforms on Public Health Protection Against the COVID-19 Pandemic via the Mediating Effects of Public Health Awareness and Behavioral Changes: Integrated Model [J].
Al-Dmour, Hani ;
Masa'deh, Ra'ed ;
Salman, Amer ;
Abuhashesh, Mohammad ;
Al-Dmour, Rand .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (08)
[2]   Assessing Ebola-related web search behaviour: insights and implications from an analytical study of Google Trends-based query volumes [J].
Alicino, Cristiano ;
Bragazzi, Nicola Luigi ;
Faccio, Valeria ;
Amicizia, Daniela ;
Panatto, Donatella ;
Gasparini, Roberto ;
Icardi, Giancarlo ;
Orsi, Andrea .
INFECTIOUS DISEASES OF POVERTY, 2015, 4
[3]  
[Anonymous], 2014, EC IMP 2014 EB EP SH
[4]   Presumed Asymptomatic Carrier Transmission of COVID-19 [J].
Bai, Yan ;
Yao, Lingsheng ;
Wei, Tao ;
Tian, Fei ;
Jin, Dong-Yan ;
Chen, Lijuan ;
Wang, Meiyun .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2020, 323 (14) :1406-1407
[5]  
Banerjee D., 2020, Indian J. Soc. Psychiatry, V36, P131, DOI DOI 10.4103/IJSP.IJSP_112_20
[6]   Fear of the unknown: One fear to rule them all? [J].
Carleton, R. Nicholas .
JOURNAL OF ANXIETY DISORDERS, 2016, 41 :5-21
[7]   Cross-Country Comparison of Effects of Early Government Communication on Personal Empowerment during the COVID-19 Pandemic in Taiwan and the United States [J].
Chang, Chingching .
HEALTH COMMUNICATION, 2022, 37 (04) :476-489
[8]  
Chin C.Y., 2020, Advances in Management and Applied Economics, V10, P23
[9]   Face masks to prevent transmission of influenza virus: a systematic review [J].
Cowling, B. J. ;
Zhou, Y. ;
Ip, D. K. M. ;
Leung, G. M. ;
Aiello, A. E. .
EPIDEMIOLOGY AND INFECTION, 2010, 138 (04) :449-456
[10]   Dangers and uses of cross-correlation in analyzing time series in perception, performance, movement, and neuroscience: The importance of constructing transfer function autoregressive models [J].
Dean, Roger T. ;
Dunsmuir, William T. M. .
BEHAVIOR RESEARCH METHODS, 2016, 48 (02) :783-802