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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 , 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.