Abstract

Measles epidemiology offers a unique perspective on the construction of models to describe the dynamics of ecological systems. Simple models of measles transmission can generate deterministic chaos by various mechanisms. However, incorporating more biological realism into the model, in the form of age structure and realism in the seasonal forcing function, can suppress complex dynamics. Adding stochastic terms to the models restores complex dynamics, but raises new questions about demographic scale and population structure in these models.

Keywords

Statistical physicsDynamics (music)Perspective (graphical)MeaslesPopulationComplex dynamicsComputer scienceForcing (mathematics)Scale (ratio)Simple (philosophy)MathematicsBiologyPhysicsEpistemologyArtificial intelligenceSociologyVirologyDemography

Affiliated Institutions

Related Publications

The Uses of Epidemic Models

This paper is concerned with models formulated to describe the spread of infectious diseases through a community. Some standard epidemic models are introduced and an overview of...

1979 Biometrics 73 citations

Publication Info

Year
1993
Type
article
Volume
251
Issue
1330
Pages
75-81
Citations
243
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

243
OpenAlex

Cite This

Benjamin M. Bolker, Bryan T. Grenfell (1993). Chaos and biological complexity in measles dynamics. Proceedings of the Royal Society B Biological Sciences , 251 (1330) , 75-81. https://doi.org/10.1098/rspb.1993.0011

Identifiers

DOI
10.1098/rspb.1993.0011