Menglu Xu, Xingyi Hou, Miao Wang, Lin Hu, Linfei Nie
{"title":"异构网络上环境驱动的流行病模型的全局动力学和最优控制","authors":"Menglu Xu, Xingyi Hou, Miao Wang, Lin Hu, Linfei Nie","doi":"10.1016/j.physa.2025.130803","DOIUrl":null,"url":null,"abstract":"<div><div>Considering environmental transmission and the heterogeneity of contacts between people, an infectious disease model with environmental transmission on a heterogeneous network is proposed. First, the non-negativity and boundedness of solutions for this model are verified. Subsequently, the basic reproduction number <span><math><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub></math></span> is derived, serving as the critical threshold governing the model’s dynamics. Specifically, the disease-free equilibrium is globally asymptotically stable when <span><math><mrow><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub><mo><</mo><mn>1</mn></mrow></math></span>, disease is uniformly persistent for <span><math><mrow><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub><mo>></mo><mn>1</mn></mrow></math></span>. Furthermore, the endemic equilibrium is proved to be globally asymptotically stable when <span><math><mrow><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub><mo>></mo><mn>1</mn></mrow></math></span> and under some additional conditions. To evaluate intervention efficacy, we extend the model to incorporate control strategies, where the effects of uniform immunization, target immunization and acquaintance immunization on disease control are compared. The results demonstrate that targeted immunization achieves superior disease suppression under equivalent immunization intensities. Additionally, applying Pontryagin’s maximum principle, we prove that simultaneous implementation of multiple controls maximizes intervention efficacy while minimizing operational costs. Finally, the theoretical results are explained by numerical simulations and the effects of immunization and comprehensive control are compared under different degree distributions. The results show that comprehensive control is the best choice to prevent and control the spread of the disease under different degree distributions.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"675 ","pages":"Article 130803"},"PeriodicalIF":2.8000,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Global dynamics and optimal control of an environmentally-driven epidemic model on heterogeneous networks\",\"authors\":\"Menglu Xu, Xingyi Hou, Miao Wang, Lin Hu, Linfei Nie\",\"doi\":\"10.1016/j.physa.2025.130803\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Considering environmental transmission and the heterogeneity of contacts between people, an infectious disease model with environmental transmission on a heterogeneous network is proposed. First, the non-negativity and boundedness of solutions for this model are verified. Subsequently, the basic reproduction number <span><math><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub></math></span> is derived, serving as the critical threshold governing the model’s dynamics. Specifically, the disease-free equilibrium is globally asymptotically stable when <span><math><mrow><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub><mo><</mo><mn>1</mn></mrow></math></span>, disease is uniformly persistent for <span><math><mrow><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub><mo>></mo><mn>1</mn></mrow></math></span>. Furthermore, the endemic equilibrium is proved to be globally asymptotically stable when <span><math><mrow><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub><mo>></mo><mn>1</mn></mrow></math></span> and under some additional conditions. To evaluate intervention efficacy, we extend the model to incorporate control strategies, where the effects of uniform immunization, target immunization and acquaintance immunization on disease control are compared. The results demonstrate that targeted immunization achieves superior disease suppression under equivalent immunization intensities. Additionally, applying Pontryagin’s maximum principle, we prove that simultaneous implementation of multiple controls maximizes intervention efficacy while minimizing operational costs. Finally, the theoretical results are explained by numerical simulations and the effects of immunization and comprehensive control are compared under different degree distributions. The results show that comprehensive control is the best choice to prevent and control the spread of the disease under different degree distributions.</div></div>\",\"PeriodicalId\":20152,\"journal\":{\"name\":\"Physica A: Statistical Mechanics and its Applications\",\"volume\":\"675 \",\"pages\":\"Article 130803\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physica A: Statistical Mechanics and its Applications\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378437125004558\",\"RegionNum\":3,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PHYSICS, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physica A: Statistical Mechanics and its Applications","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378437125004558","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
Global dynamics and optimal control of an environmentally-driven epidemic model on heterogeneous networks
Considering environmental transmission and the heterogeneity of contacts between people, an infectious disease model with environmental transmission on a heterogeneous network is proposed. First, the non-negativity and boundedness of solutions for this model are verified. Subsequently, the basic reproduction number is derived, serving as the critical threshold governing the model’s dynamics. Specifically, the disease-free equilibrium is globally asymptotically stable when , disease is uniformly persistent for . Furthermore, the endemic equilibrium is proved to be globally asymptotically stable when and under some additional conditions. To evaluate intervention efficacy, we extend the model to incorporate control strategies, where the effects of uniform immunization, target immunization and acquaintance immunization on disease control are compared. The results demonstrate that targeted immunization achieves superior disease suppression under equivalent immunization intensities. Additionally, applying Pontryagin’s maximum principle, we prove that simultaneous implementation of multiple controls maximizes intervention efficacy while minimizing operational costs. Finally, the theoretical results are explained by numerical simulations and the effects of immunization and comprehensive control are compared under different degree distributions. The results show that comprehensive control is the best choice to prevent and control the spread of the disease under different degree distributions.
期刊介绍:
Physica A: Statistical Mechanics and its Applications
Recognized by the European Physical Society
Physica A publishes research in the field of statistical mechanics and its applications.
Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents.
Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.