ArticleScientific reports2025
Revealing the complex dynamics of monkeypox epidemics in heterogeneous networks by the evolutionary game theory.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- MODELING AND SIMULATING CHOLERA TRANSMISSION DYNAMICS WITH EVOLUTIONARY GAME THEORY.Numerical algebra, control and optimization · 2026Article
- A Cost-Sensitive Behavioral Modeling Analysis of the Early Identification and Control of Infectious Diseases.Bulletin of mathematical biology · 2026Article
- Mpox and the one health approach.Dialogues in health · 2026Review
- A mathematical model examining the role of self-treated individuals in the geographical spread of COVID-19.BMC infectious diseases · 2026Article
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2 authors.
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Abstract
Gaining insight into the mechanisms of zoonotic disease transmission in both animal and human populations is essential for implementing effective measures to control the disease spread and mitigate its impact. This paper employs an evolutionary game theory framework to analyze the intricate dynamics of Monkeypox (mpox) epidemics across diverse networks, including scale-free and random regular networks with four network settings (BA-BA, ER-ER, BA-ER, and ER-BA) in both humans and animals. We investigate how individual behaviors and interactions influence the spread of diseases in different populations by combining network structures with evolutionary game dynamics. The results of our research reveal complex patterns, including the emergence of super-spreaders who transmit the disease to numerous others and the impact of the network structure on the disease's persistence and transmission. Furthermore, we demonstrate the practicality of this method in clarifying crucial elements that drive the spatial and temporal expansion of mpox, providing a valuable understanding of the efficacy of focused intervention strategies. Our work emphasizes the importance of multidisciplinary approaches in understanding the complex dynamics of infectious diseases and informing public health responses.
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