Academic Journal

Modelling the transmission dynamics and optimal control strategies for HIV infection in China

التفاصيل البيبلوغرافية
العنوان: Modelling the transmission dynamics and optimal control strategies for HIV infection in China
المؤلفون: Ling Xue, Yuanmei Sun, Xue Ren, Wei Sun
المصدر: Journal of Biological Dynamics, Vol 17, Iss 1 (2023)
بيانات النشر: Taylor & Francis Group, 2023.
سنة النشر: 2023
المجموعة: LCC:Environmental sciences
LCC:Biology (General)
مصطلحات موضوعية: HIV/AIDS, equilibrium, mitigation strategies, cost-effectiveness, Environmental sciences, GE1-350, Biology (General), QH301-705.5
الوصف: ABSTRACTIn order to end the AIDS epidemic by 2030 that was put forward by the Joint United Nations Programme on HIV/AIDS in 2014, China needs to take more effective measures to achieve the three 90% goals (90-90-90). We establish a compartmental model to study the dynamics of HIV transmission with control strategies. The analytical results show the existence and stability of the disease-free equilibrium and endemic equilibrium. An optimal control model is constructed to evaluate the impacts of control measures. The simulation results show that the optimal control strategy proposed in this work can eradicate AIDS by 2030. The cost-effectiveness analysis indicates that the cost of the control strategy that combines screening for latent individuals and enhancing education for unaware infected individuals is the lowest. Our findings can provide guidance for public health authorities on effective mitigation strategies to achieve the goals proposed by the United Nations Program on HIV/AIDS.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 17513758
1751-3766
1751-3758
Relation: https://doaj.org/toc/1751-3758; https://doaj.org/toc/1751-3766
DOI: 10.1080/17513758.2023.2174275
URL الوصول: https://doaj.org/article/3dc22228f72f4ec69bfa32ee30cf024d
رقم الانضمام: edsdoj.3dc22228f72f4ec69bfa32ee30cf024d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:17513758
17513766
DOI:10.1080/17513758.2023.2174275