The Kermack-McKendrick epidemic model revisited

Fred Brauer1

  • 1Department of Mathematics, University of British Columbia, Vancouver, BC V6T 1Z2, Canada. brauer@math.ubc.ca

Mathematical Biosciences
|September 2, 2005
PubMed

Insights

The Kermack-McKendrick epidemic model, an age of infection model, provides a framework for understanding disease spread. Modern epidemic models, including those for SARS, build upon its principles, showing disease thresholds and eventual die-out.

Area of Science:

  • Epidemiology
  • Mathematical Biology
  • Infectious Disease Dynamics

Background:

  • The foundational Kermack-McKendrick epidemic model (1927) is an age of infection model.
  • It describes infectivity based on time since an individual became infected.
  • A simplified two-dimensional ordinary differential equation system is often referred to as the Kermack-McKendrick model.

Purpose of the Study:

  • To contextualize the Kermack-McKendrick model within modern epidemic modeling.
  • To highlight its relevance in analyzing post-SARS epidemic models.
  • To demonstrate the applicability of its analytical approach to contemporary disease dynamics.

Main Methods:

  • Analysis of epidemic models as age of infection models.
  • Application of the full Kermack-McKendrick model's analytical approach.
  • Examination of models incorporating general contact rates, quarantine, and isolation.

Main Results:

  • Modern epidemic models, including those developed post-SARS, can be viewed through the lens of age of infection models.
  • The Kermack-McKendrick model's analytical framework is applicable to these diverse models.
  • These models consistently exhibit a threshold for epidemic outbreaks and eventual disease extinction.

Conclusions:

  • The principles of the Kermack-McKendrick model remain relevant for understanding infectious disease dynamics.
  • Its analytical framework provides a unified approach to studying various epidemic models.
  • Key properties like outbreak thresholds and self-limiting epidemics are fundamental across these models.

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