Fractional-view analysis of the transmission dynamics of a bacterial infection with nonlocal and nonsingular kernel

IF 2.8 Q2 MULTIDISCIPLINARY SCIENCES SN Applied Sciences Pub Date : 2023-11-10 DOI:10.1007/s42452-023-05538-x
Hakima Degaichia, Rashid Jan, Ziad Ur Rehman, Salah Boulaaras, Asif Jan
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Abstract

Abstract An enormous cost is placed on people, communities, and healthcare systems by bacterial infections. Measures of the burden of bacterial infections include morbidity, mortality, economic expenditures, and overall effects on public health. Campylobacteriosis is a bacterial infection imposes a significant economic burden on both individuals and societies due to its prevalence, healthcare costs, and the associated loss of productivity. In our research, we develop a model to analyze the transmission of campylobacteriosis infection, taking into account factors such as vaccination and treatment. We also examine the fundamental characteristics of fractional calculus to understand the model better. The equilibria of the model are studied, and we calculate the reproduction parameter denoted as $$\mathcal{R}_{0}$$ R 0 . Furthermore, we provide proof of stability for the equilibria of the system. Lastly, we conduct numerical investigations to explore the variation of the system’s reproduction parameter with different input parameters. We have established the necessary conditions to ensure the existence and uniqueness of solutions for the proposed model of campylobacteriosis infection. To better understand the complex dynamics of campylobacteriosis infection, we conduct various simulations of the suggested model while modifying the input factors. These simulations allow us to investigate the effects of different input parameters on the dynamics of campylobacteriosis infection. We analyze the dynamic behavior of the system to develop efficient control strategies for managing the infection. Notable improvements have been observed by reducing the order of the fractional derivative. Based on our findings, we propose various factors to the policy makers in the community to mitigate the spread of campylobacteriosis infection.
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非局部非奇异核细菌感染传播动力学的分式分析
细菌感染给人们、社区和医疗保健系统带来了巨大的成本。衡量细菌感染负担的措施包括发病率、死亡率、经济支出和对公共卫生的总体影响。弯曲杆菌病是一种细菌感染,由于其普遍性、医疗费用和相关的生产力损失,给个人和社会带来了重大的经济负担。在我们的研究中,我们建立了一个模型来分析弯曲杆菌病感染的传播,考虑到疫苗接种和治疗等因素。我们还考察了分数阶微积分的基本特征,以便更好地理解该模型。研究了模型的均衡,并计算了模型的再生参数$$\mathcal{R}_{0}$$ R 0。进一步给出了系统平衡点的稳定性证明。最后,通过数值研究探讨了不同输入参数下系统再生参数的变化规律。我们已经建立了必要的条件,以确保所提出的弯曲杆菌感染模型解的存在性和唯一性。为了更好地理解弯曲杆菌感染的复杂动力学,我们在修改输入因素的同时对所建议的模型进行了各种模拟。这些模拟使我们能够研究不同输入参数对弯曲杆菌病感染动力学的影响。我们分析了系统的动态行为,以制定有效的控制策略来管理感染。通过降低分数阶导数的阶数,可以观察到显著的改进。基于我们的研究结果,我们向社区决策者提出了各种因素来减轻弯曲杆菌病感染的传播。
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来源期刊
SN Applied Sciences
SN Applied Sciences MULTIDISCIPLINARY SCIENCES-
自引率
3.80%
发文量
292
审稿时长
22 weeks
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