信息-流行病传播与多层网络上的资源分配和传输相结合的动态
Qian Yin1, Zhishuang Wang1, Kaiyao Wang1
1School of Electronics and Information Engineering, Wuyi University, Jiangmen 529020, China.
Entropy (Basel, Switzerland)
|October 28, 2025
概括
有效的资源配置和有效的治疗策略可以显著制传染病的传播. 这项研究模拟了恐慌信息,资源分配和疾病传播,以优化流行病控制.
科学领域:
- 流行病学 流行病学
- 网络科学 网络科学
- 公共卫生 公共卫生
背景情况:
- 传染病传播受到在线恐慌和资源可用性的影响.
- 优化用于疫情控制的资源配置仍然是一个挑战.
研究的目的:
- 模拟恐慌信息,资源分配和疾病传播之间的相互作用.
- 调查有效抑制流行病的战略.
主要方法:
- 开发了一个结合的三层网络框架.
- 微观马尔科夫链方法被用来制定动态方程.
- 模拟分析评估了影响流行病传播的各种因素.
主要成果:
- 针对受感染个体的资源分配大大降低了患病率 (0.18至0.03).
- 增加资源供应和治疗效率显著提高了流行病值,延迟了疫情爆发.
- 恐慌信息会对资源共享的意愿产生负面影响.
结论:
- 有针对性的资源分配策略对于疫情控制至关重要.
- 资源供应和治疗效率在抑制疾病传播方面发挥着关键作用.
- 管理恐慌信息对于有效的公共卫生干预至关重要.
相关概念视频
Modeling with Differential Equations
3
Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
3
Causality in Epidemiology
1.5K
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
1.5K
Steps in Outbreak Investigation
485
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
485
Exponential Equations for Modeling Growth
213
Exponential models are essential for describing rapid, multiplicative changes in natural systems, such as population growth. When a population doubles at regular intervals, the process can be modeled using a suitable base. For instance, a bacterial culture that doubles every three hours follows the model n(t)=n0⋅2t/3, where n(t) is the population at the time t.A more general model uses the natural base e, especially for continuous growth. This takes the form n(t)=n0⋅ert, where r is...
213
Population Growth
27.8K
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
27.8K
Infection
11.8K
When a pathogen enters the body and reproduces, it can cause an infection, damage body cells, and cause illness symptoms that eventually lead to disease. Therefore, its prevention requires breaking the chain of infection.
The chain begins with pathogens: bacteria, viruses, fungi, prions, or parasites such as protozoa helminths. These can be present on the skin as transient or resident flora, or they can be acquired from the environment. Identifying and treating the type of infection and...
The chain begins with pathogens: bacteria, viruses, fungi, prions, or parasites such as protozoa helminths. These can be present on the skin as transient or resident flora, or they can be acquired from the environment. Identifying and treating the type of infection and...
11.8K

