Document Type
Article
Publication Date
4-3-2020
Publication Title
Disaster Medicine and Public Health Preparedness
DOI
10.1017/dmp.2020.68
ISSN
1938-744X
Abstract
Objective:
Awareness and attentiveness have implications for the acceptance and adoption of disease prevention and control measures. Social media posts provide a record of the public’s attention to an outbreak. To measure the attention of Chinese netizens to coronavirus disease 2019 (COVID-19), a pre-established nationally representative cohort of Weibo users was searched for COVID-19-related key words in their posts.
Methods:
COVID-19-related posts (N = 1101) were retrieved from a longitudinal cohort of 52 268 randomly sampled Weibo accounts (December 31, 2019–February 12, 2020).
Results:
Attention to COVID-19 was limited prior to China openly acknowledging human-to-human transmission on January 20. Following this date, attention quickly increased and has remained high over time. Particularly high levels of social media traffic appeared around when Wuhan was first placed in quarantine (January 23–24, 8–9% of the overall posts), when a scandal associated with the Red Cross Society of China occurred (February 1, 8%), and, following the death of Dr Li Wenliang (February 6–7, 11%), one of the whistleblowers who was reprimanded by the Chinese police in early January for discussing this outbreak online.
Conclusion:
Limited early warnings represent missed opportunities to engage citizens earlier in the outbreak. Governments should more proactively communicate early warnings to the public in a transparent manner.
Recommended Citation
Zhu, Yuner, King-Wa Fu, Karen A. Grépin, Hai Liang, Isaac Fung.
2020.
"Limited Early Warnings and Public Attention to Coronavirus Disease 2019 in China, January–February, 2020: A Longitudinal Cohort of Randomly Sampled Weibo Users."
Disaster Medicine and Public Health Preparedness, 14 (5): 24-27: Cambridge University Press.
doi: 10.1017/dmp.2020.68
https://digitalcommons.georgiasouthern.edu/bee-facpubs/181
Included in
Asian Studies Commons, Biostatistics Commons, Environmental Public Health Commons, Epidemiology Commons
Comments
Copyright © 2020 Society for Disaster Medicine and Public Health, Inc. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. DOI: 10.1017/dmp.2020.68