DCDS-B
Global stability for multi-group SIR and SEIR epidemic models with age-dependent susceptibility
Jinliang Wang Xianning Liu Toshikazu Kuniya Jingmei Pang
Discrete & Continuous Dynamical Systems - B 2017, 22(7): 2795-2812 doi: 10.3934/dcdsb.2017151

In this paper, we investigate the global asymptotic stability of multi-group SIR and SEIR age-structured models. These models allow the infectiousness and the death rate of susceptible individuals to vary and depend on the susceptibility, with which we can consider the heterogeneity of population. We establish global dynamics and demonstrate that the heterogeneity does not alter the dynamical structure of the basic SIR and SEIR with age-dependent susceptibility. Our results also demonstrate that, for age structured multi-group models considered, the graph-theoretic approach can be successfully applied by choosing an appropriate weighted matrix as well.

keywords: Age-structured model susceptibility asymptotic smoothness global attractor global stability
MBE
A note on global stability for malaria infections model with latencies
Jinliang Wang Jingmei Pang Toshikazu Kuniya
Mathematical Biosciences & Engineering 2014, 11(4): 995-1001 doi: 10.3934/mbe.2014.11.995
A recent paper [Y. Xiao and X. Zou, On latencies in malaria infections and their impact on the disease dynamics, Math. Biosci. Eng., 10(2) 2013, 463-481.] presented a mathematical model to investigate the spread of malaria. The model is obtained by modifying the classic Ross-Macdonald model by incorporating latencies both for human beings and female mosquitoes. It is realistic to consider the new model with latencies differing from individuals to individuals. However, the analysis in that paper did not resolve the global malaria disease dynamics when $\Re_0>1$. The authors just showed global stability of endemic equilibrium for two specific probability functions: exponential functions and step functions. Here, we show that if there is no recovery, the endemic equilibrium is globally stable for $\Re_0>1$ without other additional conditions. The approach used here, is to use a direct Lyapunov functional and Lyapunov- LaSalle invariance principle.
keywords: Global stability malaria infection latency distribution Lyapunov functional.

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