Analysis of SI models with multiple interacting populations using subpopulations

Evelyn K. Thomas; Katharine F. Gurski; Kathleen A. Hoffman

doi:10.3934/mbe.2015.12.135

Mathematical Biosciences and Engineering, 2015, 12(1): 135-161. doi: 10.3934/mbe.2015.12.135. Primary: 92D30; Secondary: 37C75.

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Analysis of SI models with multiple interacting populations using subpopulations

Evelyn K. Thomas, Katharine F. Gurski, Kathleen A. Hoffman

1. Department of Mathematics and Statistics, University of Maryland Baltimore County, Baltimore, MD 21250
2. Department of Mathematics, Howard University, Washington, DC 20059

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Computing endemic equilibria and basic reproductive numbers for systems of differential equations describing epidemiological systems with multiple connections between subpopulations is often algebraically intractable. We present an alternative method which deconstructs the larger system into smaller subsystems and captures theinteractions between the smaller systems as external forces using an approximate model. We bound the basic reproductive numbers of the full system in terms of the basic reproductive numbers of the smaller systems and use the alternate model to provide approximations for the endemic equilibrium. In addition to creating algebraically tractable reproductive numbers and endemic equilibria, we can demonstrate the influence of the interactions between subpopulations on the basic reproductive number of the full system. The focus of this paper is to provide analytical tools to help guide public health decisions with limited intervention resources.

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Keywords: SI model; Reproductive number; stability; compartmental model; spread of HIV.

Citation: Evelyn K. Thomas, Katharine F. Gurski, Kathleen A. Hoffman. Analysis of SI models with multiple interacting populations using subpopulations. Mathematical Biosciences and Engineering, 2015, 12(1): 135-161. doi: 10.3934/mbe.2015.12.135

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This article has been cited by:

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Copyright Info: 2015, Evelyn K. Thomas, et al., licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

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