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Analysis of a Model of Leishmaniasis with Multiple Time Lags in All Populations

School of Mathematical Sciences, Rochester Institute of Technology, Rochester, NY 14623, USA
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Math. Comput. Appl. 2019, 24(2), 63; https://doi.org/10.3390/mca24020063
Received: 30 May 2019 / Revised: 13 June 2019 / Accepted: 14 June 2019 / Published: 15 June 2019
(This article belongs to the Section Natural Sciences)
There are several types of deterministic compartmental models for disease epidemiology such as SIR, SIS, SEIS, SEIR, etc. The exposed population group in, for example SEIS or SEIR, usually represents individuals in the incubation class. Time delays (of which there are several types) when incorporated into a SIR or SIS model, also fulfil the role of the incubation period without necessarily adding another compartment to the model. This paper incorporates time delays into a SIS model that describes the transmission dynamics of cutaneous leishmaniasis. The time lags account for the incubation periods within the sandflies vector, the human hosts and the different animal groups that serve as reservoir hosts. A threshold value, R 0 , of the model is computed and used to study the disease-free equilibrium and endemic equilibrium of the system. Analysis demonstrating local and global stability of the disease-free equilibrium when R 0 < 1 is provided for all n + 1 population groups involved is provided. The existence of an endemic equilibrium is only guaranteed when R 0 > 1 and numerical analysis of the endemic equilibrium for a human host, a vector host and a single animal reservoir host that is globally stable is also provided. View Full-Text
Keywords: leishmaniasis transmission; multiple delays; stability analysis leishmaniasis transmission; multiple delays; stability analysis
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Agyingi, E.; Wiandt, T. Analysis of a Model of Leishmaniasis with Multiple Time Lags in All Populations. Math. Comput. Appl. 2019, 24, 63.

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