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解析狂犬病神经缺陷综合征未经恢复的传播及后续致残风险。

Decoding the transmission and subsequent disability risks of rabineurodeficiency syndrome without recuperation.

作者信息

Ramzan Yasir, Fadhl Bandar M, Niazai Shafiullah, Awan Aziz Ullah, Guedri Kamel

机构信息

Department of Mathematics, Shanghai University, 99 Shangda Road, Shanghai, 200444, China.

Institute of Mathematics, University of the Punjab, Lahore, 54590, Pakistan.

出版信息

Sci Rep. 2025 May 19;15(1):17322. doi: 10.1038/s41598-025-01066-3.

Abstract

This study presents a novel approach focused on extensively addressing the dynamics of Rabineurodeficiency Syndrome by developing a mathematical compartmental model without recuperation. The equilibria of the rabies-free and present states are analyzed locally and globally. Real-world data on annual rabies cases are integrated to confirm and enhance the model's accuracy. Likewise, a parameter estimation technique is employed to optimize the model, aiding in calculating the basic reproduction number. Sensitivity analysis examines the impact of critical parameters on transmission dynamics, providing a deeper understanding of the determining factors influencing disease spread. Visual representations of the relationship between essential parameters and the reproduction number offer valuable insights into factors influencing disease control. Advancing the understanding of Rabineurodeficiency Syndrome dynamics, the inclusive control actions to mitigate infectious diseases are evaluated, emphasizing the importance of accounting for individuals with disabilities.

摘要

本研究提出了一种新颖的方法,通过开发一个无恢复的数学 compartmental 模型来广泛解决狂犬病神经缺陷综合征的动态问题。对无狂犬病状态和现有状态的平衡点进行了局部和全局分析。整合了关于年度狂犬病病例的实际数据,以确认并提高模型的准确性。同样,采用参数估计技术对模型进行优化,有助于计算基本繁殖数。敏感性分析研究关键参数对传播动态的影响,从而更深入地了解影响疾病传播的决定因素。基本参数与繁殖数之间关系的可视化表示为影响疾病控制的因素提供了有价值的见解。为了加深对狂犬病神经缺陷综合征动态的理解,评估了减轻传染病的包容性控制措施,强调了考虑残疾个体的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0a5/12089358/1dca75261748/41598_2025_1066_Fig1_HTML.jpg

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