Special Issue: Mathematical modeling and analysis on population ecology and infectious diseases with environmental fluctuations
Guest Editors
Prof. Sanling Yuan
College of Science, University of Shanghai for Science and Technology, Shanghai, China
Email: sanling@usst.edu.cn
Prof. Xichao Duan
College of Science, University of Shanghai for Science and Technology, Shanghai, China
Email: xcduan@usst.edu.cn
Dr. Shengqiang Zhang
College of Science, University of Shanghai for Science and Technology, Shanghai, China
Email: sqzhang0218@163.com
Manuscript Topics
In recent years, due to the effect of increasing human activity and associated climate change, global biodiversity and disease transmission present some serious tendencies, including rapid loss of biodiversity and global outbreak of infectious diseases and so on. On the one hand, biodiversity is the natural condition for human survival, the basis of sustainable development for human social and economic construction, and the basic guarantee of natural ecosystem security and food production security. On the other hand, the spread of infectious diseases directly endangers human health, seriously restricts social development, and poses great threats to social stability, economic construction and international cooperation. In the context of global climate change, in order to safeguard the well-being of human society, slow down the loss of biodiversity, and effectively prevent and control the spread of infectious diseases, we initiate a special issue. This special issue will be devoted to exploring mathematical modeling, theoretical analysis and control strategies for marine ecology, population ecology and infectious diseases under the influence of environmental fluctuations. Topics include, but are not limited to, the following:
• Ecological models with environmental fluctuations
• Stochastic infectious disease models
• Stochastic evolutionary models
• Stochastic analysis in mathematical biosciences and engineering (MBE)
• Stochastic optimal control problems
• Fuzzy models of mathematical biosciences and engineering (MBE)
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