MODELING AND SIMULATING CHOLERA TRANSMISSION DYNAMICS WITH EVOLUTIONARY GAME THEORY.

IF 1 Q2 MATHEMATICS, APPLIED
Numerical Algebra Control and Optimization Pub Date : 2026-09-01 Epub Date: 2025-12-19 DOI:10.3934/naco.2026006
Mohammad Sharif Ullah, Md Shahidul Islam, Jin Wang
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引用次数: 0

Abstract

Cholera, a highly debilitating gastrointestinal disease caused by the bacteria Vibrio cholerae, continues to be a significant public health issue in many countries and regions around the globe. Conventional epidemiological models often fail to adequately account for the strategic connections between individuals and how these interactions influence disease spread. This paper examines cholera dynamics using evolutionary game theory and proposes a novel paradigm for analyzing the impact of human behavior and strategic decision-making on cholera transmission. The model incorporates the evolutionary stability of the tactics people employ, such as vaccination, hygiene practices, and disease treatment, while accounting for diverse environmental and social variables. Results have been obtained on the factors that either encourage or impede the spread of cholera using analytical and numerical methods, underscoring the need to implement behavioral interventions alongside medical and infrastructural measures. The findings offer novel insights into public health strategies for controlling cholera outbreaks and promoting community resilience to infectious diseases.

用进化博弈论建模和模拟霍乱传播动力学。
霍乱是一种由霍乱弧菌引起的高度衰弱的胃肠道疾病,在全球许多国家和地区仍然是一个重大的公共卫生问题。传统的流行病学模型往往不能充分解释个体之间的战略联系以及这些相互作用如何影响疾病传播。本文利用进化博弈论研究霍乱动力学,并提出了一种新的范式来分析人类行为和战略决策对霍乱传播的影响。该模型结合了人们使用的策略的进化稳定性,如接种疫苗、卫生习惯和疾病治疗,同时考虑了各种环境和社会变量。利用分析和数值方法获得了鼓励或阻碍霍乱传播的因素的结果,强调需要在采取医疗和基础设施措施的同时实施行为干预措施。这些发现为控制霍乱暴发和促进社区抵御传染病的公共卫生战略提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.10
自引率
0.00%
发文量
62
期刊介绍: Numerical Algebra, Control and Optimization (NACO) aims at publishing original papers on any non-trivial interplay between control and optimization, and numerical techniques for their underlying linear and nonlinear algebraic systems. Topics of interest to NACO include the following: original research in theory, algorithms and applications of optimization; numerical methods for linear and nonlinear algebraic systems arising in modelling, control and optimisation; and original theoretical and applied research and development in the control of systems including all facets of control theory and its applications. In the application areas, special interests are on artificial intelligence and data sciences. The journal also welcomes expository submissions on subjects of current relevance to readers of the journal. The publication of papers in NACO is free of charge.
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