A two-layer model with partial mapping: Unveiling the interplay between information dissemination and disease diffusion
发布时间：2025-09-07
点击次数：
- DOI码：
- 10.1016/j.amc.2023.128507
- 发表刊物：
- APPLIED MATHEMATICS AND COMPUTATION
- 摘要：
- This study delves into the pivotal role of information dissemination in public health, particularly how it influences the spread of diseases. By implementing a sophisticated two-layer partial mapping network model (UAU-SIRS), we investigate the dynamic relationship between information flow and disease transmission. Our approach utilizes extensive multiplexed network data, processed through a micro Markov chain (MMC) model, to simulate the interplay between information spread and disease dynamics. The findings reveal a noteworthy positive correlation between the rates of information dissemination, recovery in the network, and the epidemic threshold. Conversely, the conversion rate is inversely related to this threshold. A critical observation is that Scale-free (SF) networks, characterized by their uneven node distribution, are more susceptible to the impacts of information spread on their outbreak thresholds compared to Erdos-Renyi (ER) networks. This research offers crucial insights for epidemic prevention strategies and provides valuable guidance for managing the dissemination of disease-related information within complex network structures.
- 论文类型：
- 期刊论文
- 卷号：
- 468
- ISSN号：
- 0096-3003
- 是否译文：
- 否
- 发表时间：
- 2023-01-01