Huo Liang'an, Zhao Ruifang, Zhao Laijun
Business School, University of Shanghai for Science and Technology, Shanghai 200093, China.
J King Saud Univ Comput Inf Sci. 2022 Nov;34(10):9207-9215. doi: 10.1016/j.jksuci.2022.09.003. Epub 2022 Sep 8.
Epidemic-related information and resources have proven to have a significant impact on the spread of the epidemic during the Corona Virus Disease 2019 (COVID-19) pandemic. The various orientation role of information has different effects on the epidemic spreading process, which will affect the individual' awareness of resources allocation and epidemic spreading scale. Based on this, a three-layer network is established to describe the dynamic coevolution process among information dissemination, resource allocation, and epidemic spreading. In order to analyze dynamic coevolution process, the microscopic Markov chain (MMC) theory is used. Then, the threshold of epidemic spreading is deduced. Our results indicated that the official information orientation intensity inhibits the epidemics spreading, while rumor orientation intensity promotes epidemic spreading. At the same time, the efficiency of resource utilization restrains the expansion of the infection scale. The two kinds of information are combined with resources respectively. Official information will enhance the inhibitory effect of resources epidemics spreading, while rumor will do the opposite.
事实证明,在2019冠状病毒病(COVID-19)大流行期间,与疫情相关的信息和资源对疫情传播产生了重大影响。信息的各种导向作用对疫情传播过程有不同影响,这将影响个体的资源分配意识和疫情传播规模。基于此,建立了一个三层网络来描述信息传播、资源分配和疫情传播之间的动态协同演化过程。为了分析动态协同演化过程,使用了微观马尔可夫链(MMC)理论。然后,推导了疫情传播的阈值。我们的结果表明,官方信息导向强度抑制疫情传播,而谣言导向强度促进疫情传播。同时,资源利用效率抑制感染规模的扩大。两种信息分别与资源相结合。官方信息将增强资源对疫情传播的抑制作用,而谣言则相反。