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The construction of next-generation matrices for compartmental epidemic models

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Diekmann, O., Heesterbeek, J. A. P., Roberts, M. G.·2010·Journal of The Royal Society Interface

Abstract

The basic reproduction number ℛ 0 is arguably the most important quantity in infectious disease epidemiology. The next-generation matrix (NGM) is the natural basis for the definition and calculation of ℛ 0 where finitely many different categories of individuals are recognized. We clear up confusion that has been around in the literature concerning the construction of this matrix, specifically for the most frequently used so-called compartmental models. We present a detailed easy recipe for the construction of the NGM from basic ingredients derived directly from the specifications of the model. We show that two related matrices exist which we define to be the NGM with large domain and the NGM with small domain . The three matrices together reflect the range of possibilities encountered in the literature for the characterization of ℛ 0 . We show how they are connected and how their construction follows from the basic model ingredients, and establish that they have the same non-zero eigenvalues, the largest of which is the basic reproduction number ℛ 0 . Although we present formal recipes based on linear algebra, we encourage the construction of the NGM by way of direct epidemiological reasoning, using the clear interpretation of the elements of the NGM and of the model ingredients. We present a selection of examples as a practical guide to our methods. In the appendix we present an elementary but complete proof that ℛ 0 defined as the dominant eigenvalue of the NGM for compartmental systems and the Malthusian parameter r , the real-time exponential growth rate in the early phase of an outbreak, are connected by the properties that ℛ 0 > 1 if and only if r > 0, and ℛ 0 = 1 if and only if r = 0.

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Metadata

Authors
Diekmann, O., Heesterbeek, J. A. P., & Roberts, M. G.
Venue
Journal of The Royal Society Interface
Published
2009-11-05
Volume
7
Issue
47
Pages
873-885
ISSN
  • 1742-5662 (ISSN-L)
  • 1742-5689
OpenAlex
W2113797309
Cited by
2,119
References
6
FWCI
16.06
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The construction of next-generation matrices for compartmental epidemic models. https://app.cochat.ai/papers/10.1098/rsif.2009.0386
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Diekmann, O., Heesterbeek, J. A. P., & Roberts, M. G. (2010). The construction of next-generation matrices for compartmental epidemic models. Journal of The Royal Society Interface. https://doi.org/10.1098/rsif.2009.0386

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.