J. Appl. Math. Comput. https://doi.org/10.1007/s12190-018-1194-8 ORIGINAL RESEARCH Global stability of an age-structured model for pathogen–immune interaction 1 1 1 Tsuyoshi Kajiwara · Toru Sasaki · Yoji Otani Received: 1 August 2017 © Korean Society for Computational and Applied Mathematics 2018 Abstract In this paper, we present an age-structured mathematical model for infec- tious disease in vivo with infection age of cells. The model contains an immune variable and the effect of absorption of pathogens into uninfected cells. We construct Lyapunov functionals for the model and prove that the time derivative of the functionals are non- positive. Using this, we prove the global stability results for the model. Especially, we present the full mathematical detail of the proof of the global stability. Keywords Lyapunov functionals · Age-structured equations · Immunity · Persistence Mathematics Subject Classiﬁcation 35B15 · 45D05 · 92B05 1 Introduction Infectious diseases in vivo have been investigated extensively using ordinary differ- ential equations, and differential equations with delay. Anderson et al.  and Nowak and Bangham  proposed models containing immune variables explicitly. Local stability analyses of the equilibria of such models are often difﬁcult because the sizes of Jacobi matrices are large and a lot of symbolic
Journal of Applied Mathematics and Computing – Springer Journals
Published: Jun 5, 2018
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
All the latest content is available, no embargo periods.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud