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Publishing Language: Chinese

Cognitive domain information transmission HISR model and its transmission characteristics with mathematical simulation

Zhiyi CHEN1,2, Xuerong LIU1, Jingxuan ZHANG1, Kuan MIAO1, Fan XIA1, Lingzhi WANG1, Zhengzhi FENG1( )
Faculty of Medical Psychology, Army Medical University（Third Military Medical University）, Chongqing, 400038
School of Psychology, Southwest University, Chongqing, 400715, China
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Abstract

Objective

To construct a theoretical model for cognitive domain information transmission（COIT）to promote the establishment of an attack and defense system for COIT, and further to validate it by simulating data in mathematical model.

Methods

A hub-susceptible-infected-recovery（HSIR）model was proposed theoretically to conceptualize COIT, and then the model was validated with Runge-Kutta nonlinear integral equation for mathematical simulation.

Results

Standard HSIR model showed when cognitive domain information was transmitted in a large population of 10 000 people, the peak transmission was observed at Day 46 and 7 480 members were covered, with a basic reproduction number of 1.3. Further, when some measures were taken to obstruct COIT at Days 8, 4 and 2, respectively, the number of peak infects people was decreased to 5 822, 4 892 and 4 126, with a peak transmission duration shortened by 92, 62 and 41 d, in order.

Conclusion

Basing on HSIR model, we bring forward a dynamic model of COPT, and primarily construct a defense system of COPI combat.

Keywords

cognitive domain informationtransmission dynamic modelpsychovirusrumor spreading theory
CLC number: B841.2;B842.5;R849：E0 Document code: A

References

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Journal of Army Medical University
Volume 45 Issue 13,
July 2023
Pages 1450-1455
DOI: 10.16016/j.2097-0927.202207162

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CHEN Z, LIU X, ZHANG J, et al. Cognitive domain information transmission HISR model and its transmission characteristics with mathematical simulation. Journal of Army Medical University, 2023, 45(13): 1450-1455. https://doi.org/10.16016/j.2097-0927.202207162

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Received: 26 July 2022
Revised: 19 December 2022
Published: 15 July 2023
© 2023 Journal of Army Medical University