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Kermack-McKendrick Model


The Kermack-McKendrick model is an SIR model for the number of people infected with a contagious illness in a closed population over time. It was proposed to explain the rapid rise and fall in the number of infected patients observed in epidemics such as the plague (London 1665-1666, Bombay 1906) and cholera (London 1865). It assumes that the population size is fixed (i.e., no births, deaths due to disease, or deaths by natural causes), incubation period of the infectious agent is instantaneous, and duration of infectivity is same as length of the disease. It also assumes a completely homogeneous population with no age, spatial, or social structure.

The model consists of a system of three coupled nonlinear ordinary differential equations,

(dS)/(dt)=-betaSI
(1)
(dI)/(dt)=betaSI-gammaI
(2)
(dR)/(dt)=gammaI,
(3)

where t is time, S(t) is the number of susceptible people, I(t) is the number of people infected, R(t) is the number of people who have recovered and developed immunity to the infection, beta is the infection rate, and gamma is the recovery rate.

The key value governing the time evolution of these equations is the so-called epidemiological threshold,

 R_0=(betaS)/gamma.
(4)

Note that the choice of the notation R_0 is a bit unfortunate, since it has nothing to do with R. R_0 is defined as the number of secondary infections caused by a single primary infection; in other words, it determines the number of people infected by contact with a single infected person before his death or recovery.

When R_0<1, each person who contracts the disease will infect fewer than one person before dying or recovering, so the outbreak will peter out (dI/dt<0). When R_0>1, each person who gets the disease will infect more than one person, so the epidemic will spread (dI/dt>0). R_0 is probably the single most important quantity in epidemiology. Note that the result R_0=betaS/gamma derived above, applies only to the basic Kermack-McKendrick model, with alternative SIR models having different formulas for dI/dt and hence for R_0.

The Kermack-McKendrick model was brought back to prominence after decades of neglect by Anderson and May (1979). More complicated versions of the Kermack-McKendrick model that better reflect the actual biology of a given disease are often used.


See also

SIR Model

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References

Anderson, R. M. and May, R. M. "Population Biology of Infectious Diseases: Part I." Nature 280, 361-367, 1979.Jones, D. S. and Sleeman, B. D. Ch. 14 in Differential Equations and Mathematical Biology. London: Allen & Unwin, 1983.Kermack, W. O. and McKendrick, A. G. "A Contribution to the Mathematical Theory of Epidemics." Proc. Roy. Soc. Lond. A 115, 700-721, 1927.Wolfram Research, Inc. "Kermack-McKendrick Disease Model." http://library.wolfram.com/webMathematica/Biology/Epidemic.jsp.

Referenced on Wolfram|Alpha

Kermack-McKendrick Model

Cite this as:

Weisstein, Eric W. "Kermack-McKendrick Model." From MathWorld--A Wolfram Web Resource. https://mathworld.wolfram.com/Kermack-McKendrickModel.html

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