Ullah Mohammad Sharif, Kabir K M Ariful
Department of Mathematics, Feni University, Feni, Bangladesh.
Department of Mathematics, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh.
Heliyon. 2024 Mar 3;10(5):e26998. doi: 10.1016/j.heliyon.2024.e26998. eCollection 2024 Mar 15.
This work concerns the epidemiology of infectious diseases like monkeypox (mpox) in humans and animals. Our models examine transmission scenarios, including transmission dynamics between humans, animals, and both. We approach this using evolutionary game theory, specifically the intervention game-theoretical (IGT) framework, to study how human behavior can mitigate disease transmission without perfect vaccines and treatments. To do this, we use non-pharmaceutical intervention, namely the quarantine policy, which demonstrates the delayed effect of the epidemic. Additionally, we contemplate quarantine-based behavioral intervention policies in deterministic and fractional-order models to show behavioral impact in the context of the memory effect Firstly, we extensively analyzed the model's positivity and boundness of the solution, reproduction number, disease-free and endemic equilibrium, possible stability, existence, concavity, and Ulam-Hyers stability for the fractional order. Subsequently, we proceeded to present a numerical analysis that effectively illustrates the repercussions of varying quarantine-related factors, information probability, and protection probability. We aimed to comprehensively examine the effects of non-pharmaceutical interventions on disease control, which we conveyed through line graphs and 2D heat maps. Our findings underscored the significant influence of strict quarantine measures and the protection of both humans and animals in mitigating disease outbreaks. These measures not only significantly curtailed the spread of the disease but also delayed the occurrence of the epidemic's peak. Conversely, when quarantine maintenance policies were implemented at lower rates and protection levels diminished, we observed contrasting outcomes that exacerbated the situation. Eventually, our analysis revealed the emergence of animal reservoirs in cases involving disease transmission between humans and animals.
这项工作涉及人类和动物中猴痘(mpox)等传染病的流行病学。我们的模型研究传播情景,包括人类之间、动物之间以及两者之间的传播动态。我们使用进化博弈论,特别是干预博弈论(IGT)框架来研究在没有完美疫苗和治疗方法的情况下人类行为如何减轻疾病传播。为此,我们使用非药物干预,即检疫政策,它展示了疫情的延迟效应。此外,我们在确定性和分数阶模型中考虑基于检疫的行为干预政策,以显示在记忆效应背景下的行为影响。首先,我们广泛分析了模型解的正性和有界性、再生数、无病和地方病平衡点、可能的稳定性、存在性、凹性以及分数阶的乌拉姆 - 海尔斯稳定性。随后,我们进行了数值分析,有效地说明了与检疫相关的因素、信息概率和保护概率变化的影响。我们旨在全面研究非药物干预对疾病控制的影响,我们通过折线图和二维热图来呈现这些影响。我们的研究结果强调了严格的检疫措施以及对人类和动物的保护在减轻疾病爆发方面的重大影响。这些措施不仅显著减少了疾病的传播,还延迟了疫情高峰的出现。相反,当检疫维持政策以较低的速率实施且保护水平降低时,我们观察到了加剧情况的相反结果。最终,我们的分析揭示了在涉及人类与动物之间疾病传播的案例中动物宿主的出现。