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Spread and governance of pseudo-science Internet rumors in major public healthy emergencies based on SEIR model: A case study of COVID-19 epidemic
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Science & Technology Review | 2020, 38(4) : 55 - 65
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Science & Technology Review | 2020, 38(4): 55-65
Exclusive: COVID-19
Spread and governance of pseudo-science Internet rumors in major public healthy emergencies based on SEIR model: A case study of COVID-19 epidemic
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CHEN An1,2, WANG Zijun1,2, CHEN Yinghua3
Affiliations
    1. Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. School of management, Jiangsu University, Zhenjiang 212013, China
Published: 2020-02-28 doi: 10.3981/j.issn.1000-7857.2020.04.007
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By 18:00 on February 16, 2020, the cumulative number of confirmed cases caused by COVID-19 epidemic in China has reached 68,592. The epidemic control work is at a critical period. However, the proliferation of the pseudo-science Internet rumors during the COVID-19 epidemic cause widespread adverse social events, such as the blind rush purchases and hoarding, which seriously affect the epidemic control and the normal social order. Taking the COVID-19 epidemic as an example, this paper reviews the definitions of the pseudo-science and Internet rumors proposed by domestic and foreign scholars. Four major pseudo-science Internet rumors that have had a greater impact in this epidemic, and the data on Sina Weibo(microblog) are used as examples to analyze the spread characteristics of the pseudo-science Internet rumors. Based on the SEIR model, this paper comprehensively analyzes factors such as the lag of official intervention, the bandwagon effect of individual information acceptance, and the spread characteristics of rumors, and the mechanism of the pseudo-science Internet rumors in major public health emergencies through numerical experiments. Finally, this paper proposes countermeasures for the pseudo-science Internet rumors in major public healthy emergencies from various angles.
pubic healthy emergencies  /  pseudo-science  /  Internet rumors  /  SEIR model
CHEN An, WANG Zijun, CHEN Yinghua. Spread and governance of pseudo-science Internet rumors in major public healthy emergencies based on SEIR model: A case study of COVID-19 epidemic[J]. Science & Technology Review, 2020 , 38 (4) : 55 -65 . DOI: 10.3981/j.issn.1000-7857.2020.04.007
Year 2020 volume 38 Issue 4
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doi: 10.3981/j.issn.1000-7857.2020.04.007
  • Receive Date:2020-02-10
  • Online Date:2020-04-01
  • Published:2020-02-28
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  • Received:2020-02-10
  • Revised:2020-02-26
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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