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Next-generation matrix

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In epidemiology, the next-generation matrix is a method used to derive the basic reproduction number, for a compartmental model of the spread of infectious diseases. This method is given by Diekmann et al. (1990)[1] and Driessche and Watmough (2002).[2] To calculate the basic reproduction number by using a next-generation matrix, the whole population is divided into compartments in which there are infected compartments. Let be the numbers of infected individuals in the infected compartment at time t. Now, the epidemic model is

, where

In the above equations, represents the rate of appearance of new infections in compartment . represents the rate of transfer of individuals into compartment by all other means, and represents the rate of transfer of individuals out of compartment . The above model can also be written as

where

and

Let be the disease-free equilibrium. The values of the Jacobian matrices and are:

and

respectively.

Here, and are m × m matrices, defined as and .

Now, the matrix is known as the next-generation matrix. The largest eigenvalue or spectral radius of is the basic reproduction number of the model.

See also

References

  1. ^ Attention: This template ({{cite doi}}) is deprecated. To cite the publication identified by doi:10.1007/BF00178324, please use {{cite journal}} (if it was published in a bona fide academic journal, otherwise {{cite report}} with |doi=10.1007/BF00178324 instead.
  2. ^ Attention: This template ({{cite doi}}) is deprecated. To cite the publication identified by doi:10.1016/S0025-5564(02)00108-6, please use {{cite journal}} (if it was published in a bona fide academic journal, otherwise {{cite report}} with |doi=10.1016/S0025-5564(02)00108-6 instead.

Sources

  • Ma, Zhien; Li, Jia. Dynamical Modeling and analysis of Epidemics. World Scientific.
  • Diekmann, O.; Heesterbeek, J. A. P. (2000). Mathematical Epidemiology of Infectious Disease. John Wiley & Son.
  • Hefferenan, J. M.; Smith, R. J.; Wahl, L. M. (2005). "Prospective on the basic reproductive ratio". J. R. Soc. Interface.