A disease transmission model based on individual cognition
| Autor: | Fuzhong Nian, Yayong Shi, Zhongkai Dang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Statistical and Nonlinear Physics
Cognition Complex network Condensed Matter Physics 01 natural sciences 010305 fluids & plasmas 03 medical and health sciences 0302 clinical medicine Infectious disease (medical specialty) 0103 physical sciences 030212 general & internal medicine Psychology Disease transmission Neuroscience |
| Zdroj: | International Journal of Modern Physics B. 34:2050323 |
| ISSN: | 1793-6578 0217-9792 |
| DOI: | 10.1142/s0217979220503233 |
| Popis: | Recently, the study about the disease transmission has received widespread attention. In the dynamics process of infectious disease, individual’s cognition about disease-related knowledge is an important factor that controls disease transmission. The disease-related information includes the cause, symptoms, transmission route and so on. Disease-related knowledge would influence the individual’s attitude toward disease, and influence the transmission rate and scale of the infectious disease. In order to study the impact of individual cognition on the transmission of disease, the disease transmission model based on individual cognition is proposed in this paper. Based on this model, we numerically simulate the transmission of disease in the small-world network and the BA scale-free network, respectively, and analyze the transmission dynamics behavior of the infectious disease. The simulation experiment verifies the validity of the theoretical result, which shows that this model is closer to the reality than traditional models. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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