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Xiaomei Feng
Researcher at Yuncheng University
Publications - 10
Citations - 113
Xiaomei Feng is an academic researcher from Yuncheng University. The author has contributed to research in topics: Population & Epidemic model. The author has an hindex of 5, co-authored 7 publications receiving 88 citations. Previous affiliations of Xiaomei Feng include Xinjiang University.
Papers
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Stability and backward bifurcation in a malaria transmission model with applications to the control of malaria in China.
TL;DR: A deterministic malaria transmission model with standard incidence rate and treatment is considered and it is found that the plan of eliminating malaria in China is practical under the current control strategies.
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A mathematical model for the seasonal transmission of schistosomiasis in the lake and marshland regions of China.
TL;DR: Treatment of at-risk population groups, improving sanitation, hygiene education, and snail control are effective measures in controlling human schistosomiasis in these lakes and marshland regions in China.
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Analysis of a Dengue Model with Vertical Transmission and Application to the 2014 Dengue Outbreak in Guangdong Province, China
TL;DR: A deterministic dengue model with vertical transmission in mosquitoes by including aquatic mosquitoes, adult mosquitoes, human hosts and human hosts is proposed and the existence and stability of disease-free equilibria is analyzed.
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Global dynamics of a general class of multi-group epidemic models with latency and relapse.
TL;DR: A matrix-theoretic method is used and a new combinatorial identity in graph theory is applied to prove the global stability of the endemic equilibrium when R0 > 1, which shows that the global dynamics are completely determined by the basic reproduction number R0.
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Dynamical behaviors of a stochastic malaria model: A case study for Yunnan, China
TL;DR: In this article, the authors investigated dynamical behaviors for a stochastic malaria model by introducing the effect of environmental white noise on transmission dynamics of malaria and proved the existence of the unique ergodic stationary distribution by constructing a suitable Lyapunov function.