与选择性大众媒体相结合的信息-流行病传播动力学
Jiajun Xian1, Zhihong Zhang1, Zongyi Li1
1Department of Computer Science, School of Engineering, Shantou University, Shantou 515063, China.
Entropy (Basel, Switzerland)
|June 28, 2023
概括
针对性的大众媒体活动,专注于高级别的个人,显著减少流行病的传播,增加疾病抵抗力. 增加广播范围进一步增强了这种保护作用.
科学领域:
- 流行病学 流行病学
- 网络科学 网络科学
- 信息动力学 信息动力学
背景情况:
- 随着COVID-19的流行,大众媒体在传播公共卫生信息方面发挥了至关重要的作用.
- 现有的模型通常假定信息分布均,忽视了资源限制和网络结构.
- 了解信息传播和疾病传播之间的相互作用对于有效的流行病应对至关重要.
研究的目的:
- 开发和分析一种新的信息-流行病传播模式,包括有针对性的大众媒体传播.
- 调查选择性向高级节点宣传信息对流行病动态的影响.
- 评估网络拓学的影响,特别是多重网络中的层间度相关性,对媒体干预的有效性.
主要方法:
- 开发一个结合信息-流行病传播模型.
- 用微观马尔科夫链方法来进行模型分析.
- 模拟和检查各种模型参数,包括广播比例和网络特征.
主要成果:
- 向高度节点进行有针对性的大众媒体传播,可显著降低流行病感染密度,提高流行病值.
- 增加有针对性的广播的比例会放大疾病抑制效应.
- 大众媒体的抑制作用在多重网络中更明显,具有负的层间度相关性.
结论:
- 针对有影响力的节点进行选择性的大众媒体宣传是缓解流行病的有效策略.
- 网络结构,特别是在多重系统中,在疫情期间的公共卫生沟通有效性方面发挥着重要作用.
- 这些发现为优化复杂社交网络中的公共卫生沟通策略提供了宝贵的见解.
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