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Modeling epidemics: A primer and Numerus Model Builder implementation
Wayne M Getz1, Richard Salter2, Oliver Muellerklein3
1Dept. ESPM, UC Berkeley, CA 94720-3114, USA; School of Mathematical Sciences, University of KwaZulu-Natal, Private Bag X54001, Durban 4000, South Africa; Numerus, 850 Iron Point Rd., Folsom, CA 95630, USA.
Abstract:
Epidemiological models are dominated by compartmental models, of which SIR formulations are the most commonly used. These formulations can be continuous or discrete (in either the state-variable values or time), deterministic or stochastic, or spatially homogeneous or heterogeneous, the latter often embracing a network formulation. Here we review the continuous and discrete deterministic and discrete stochastic formulations of the SIR dynamical systems models, and we outline how they can be easily and rapidly constructed using Numerus Model Builder, a graphically-driven coding platform. We also demonstrate how to extend these models to a metapopulation setting using NMB network and mapping tools.
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