在相互作用的传染动力学中实现不连续转换的途径

IF 2.6 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Physics Complexity Pub Date : 2024-02-28 DOI:10.1088/2632-072x/ad269b
Santiago Lamata-Otín, Jesús Gómez-Gardeñes, David Soriano-Paños
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引用次数: 0

摘要

然而,往往被忽视的是,同时发生的传染过程之间的动态相互依存关系会改变其内在平衡和分岔。对于疾病控制来说,一个特别值得关注的情况是,流行病动力学中出现的不连续转换来自于它们与其他同时发生的过程之间的相互作用。为了解决这个问题,我们在此提出了一个将标准流行病动力学与另一个传染过程耦合的框架,提出了一个可调参数来塑造其过渡的性质。我们的模型检索了文献中众所周知的结果,如流行病相互合作产生的一阶过渡的存在,或社会传染单向驱动流行病时突然过渡的发生。我们还揭示了同时发生的动态过程之间的负反馈回路可能会抑制突变现象,从而增强系统对外部扰动的稳健性。我们的研究结果提供了一个总体视角,有助于从传染过程的相互作用中找到产生突变现象的不同途径。
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Pathways to discontinuous transitions in interacting contagion dynamics
Yet often neglected, dynamical interdependencies between concomitant contagion processes can alter their intrinsic equilibria and bifurcations. A particular case of interest for disease control is the emergence of discontinuous transitions in epidemic dynamics coming from their interactions with other simultaneous processes. To address this problem, here we propose a framework coupling a standard epidemic dynamics with another contagion process, presenting a tunable parameter shaping the nature of its transitions. Our model retrieves well-known results in the literature, such as the existence of first-order transitions arising from the mutual cooperation of epidemics or the onset of abrupt transitions when social contagions unidirectionally drive epidemics. We also reveal that negative feedback loops between simultaneous dynamical processes might suppress abrupt phenomena, thus increasing systems robustness against external perturbations. Our results render a general perspective toward finding different pathways to abrupt phenomena from the interaction of contagion processes.
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来源期刊
Journal of Physics Complexity
Journal of Physics Complexity Computer Science-Information Systems
CiteScore
4.30
自引率
11.10%
发文量
45
审稿时长
14 weeks
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