Impact of risk information characteristics on risk perception of COVID-19 among the Chinese public

Objective To examine the impact of risk information characteristics on the Chinese public's risk perception of coronavirus disease 2019 (COVID-19) and to put forward targeted suggestions for improving infectious disease epidemic information release. MethodsUsing a self-designed questionnaire, w...

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Main Authors: Xiang-wei MENG (Author), Qun-hong WU (Author), Yan-hua HAO (Author)
Format: Book
Published: Editorial Office of Chinese Journal of Public Health, 2022-02-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Xiang-wei MENG  |e author 
700 1 0 |a Qun-hong WU  |e author 
700 1 0 |a Yan-hua HAO  |e author 
245 0 0 |a Impact of risk information characteristics on risk perception of COVID-19 among the Chinese public 
260 |b Editorial Office of Chinese Journal of Public Health,   |c 2022-02-01T00:00:00Z. 
500 |a 1001-0580 
500 |a 10.11847/zgggws1131466 
520 |a Objective To examine the impact of risk information characteristics on the Chinese public's risk perception of coronavirus disease 2019 (COVID-19) and to put forward targeted suggestions for improving infectious disease epidemic information release. MethodsUsing a self-designed questionnaire, we conducted an online anonymous survey among 1 446 Chinese internet users recruited with snowball sampling in five provincial-level regions of China from June 15 to 18, 2020. Results Valid information were collected from 1 292 participants (43.0% males and 56.0% females) averagely aged 30.4 ± 9.3 years. Evaluated by a scale with the highest score of 5 for the greatest impact, the scores for the impact of characteristics of COVID-19 related information on participants' the epidemic risk perception were 3.37 ± 0.98 for personal experience associated with infectious disease, 3.81 ± 1.21/3.61 ± 0.79/3.48 ± 1.13/3.52 ± 0.90/2.92 ± 0.95 for obtaining information disseminated by government departments/experts or scholars/traditional media/internet or social media/neighbors or friends, 4.36 ± 0.59 for inconsistent or contradictory information, 4.35 ± 0.61 for different or controversial information from experts or scholars, 3.74 ± 0.87 for hearing about discussions or disputes among opinion leaders such as very important Microblog users or stars, 3.99 ± 0.94 for exposed to a great amount of information about COVID-19 during the epidemic, 3.75 ± 1.00 for rarely accessing to information other than COVID-19 epidemic, 3.53 ± 1.05 for obtaining information about previous infectious disease epidemic such as severe acute respiratory syndrome and influenza, 3.57 ± 0.94 for accessing information about outbreaks of other infectious diseases in foreign countries, 2.50 ± 1.08 for obtaining information on phenomenon or problems induced by the epidemic, 3.36 ± 0.98 for accessing text descriptions/photographs/videos on severe harms caused by the epidemic, and 3.48 ± 1.13 for accessing the information on panic or sadness induced by the epidemic among the public. The 5 common factors identified through factor analysis were source, dispute, quantity, association, and sentiment tendency of information accessed, with the corresponding variance contribution rate of 17.334%, 13.638%, 13.221%, 13.111%, and 10.593%, respectively, and a cumulative variance contribution rate of 67.897% for the 5 common factors. ConclusionThe source, dispute, quantity, association, and sentiment tendency are main characteristics of COVID-19-related information affecting the public's disease risk perception and information source is a primary factor among the five information characteristics. 
546 |a ZH 
690 |a risk information characteristics 
690 |a risk perception 
690 |a covid-19 
690 |a impact 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Zhongguo gonggong weisheng, Vol 38, Iss 2, Pp 190-193 (2022) 
787 0 |n https://www.zgggws.com/article/doi/10.11847/zgggws1131466 
787 0 |n https://doaj.org/toc/1001-0580 
856 4 1 |u https://doaj.org/article/bd9d3594e6d24fcc99de772b16c43f93  |z Connect to this object online.