The SIR dynamic model of infectious disease transmission and its analogy with chemical kinetics

13 May 2020, Version 5
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Mathematical models of the dynamics of infectious disease transmission are used to forecast epidemics and assess mitigation strategies. We reveal that the classic Susceptible-Infectious-Recovered (SIR) epidemic model resembles a dynamic model of a batch reactor carrying out an autocatalytic reaction with catalyst deactivation. This analogy between disease transmission and chemical reactions allows chemists and chemical engineers to peer into dynamic models of infectious disease transmission and gives insights into the kinetics of autocatalytic reactions.

Keywords

dynamic models
reaction models
Epidemic modeling

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