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Destabilization of epidemic models with the inclusion of realistic distributions of infectious periods

Open access
Lloyd, A. L.·2001·Proceedings of the Royal Society of London. Series B: Biological Sciences

Abstract

Most mathematical models used to understand the dynamical patterns seen in the incidence of childhood viral diseases, such as measles, employ a simple, but epidemiologically unrealistic, description of the infection and recovery process. The inclusion of more realistic descriptions of the recovery process is shown to cause a significant destabilization of the model. When there is seasonal variation in discase transmission this destabilization leads to the appearance of complex dynamical patterns with much lower levels of seasonality than previously predicted. More generally this study illustrates how detailed dynamical properties of a model may depend in an important way on the assumptions made in the formulation of the model.

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Metadata

Authors
Lloyd, A. L.
Venue
Proceedings of the Royal Society of London. Series B: Biological Sciences
Published
2001-05-07
Volume
268
Issue
1470
Pages
985-993
ISSN
  • 0080-4649 (ISSN-L)
  • 0962-8452
  • 1471-2954
OpenAlex
W2168437147
Cited by
262
References
1
FWCI
4.43
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Destabilization of epidemic models with the inclusion of realistic distributions of infectious periods. https://app.cochat.ai/papers/10.1098/rspb.2001.1599
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Lloyd, A. L. (2001). Destabilization of epidemic models with the inclusion of realistic distributions of infectious periods. Proceedings of the Royal Society of London. Series B: Biological Sciences. https://doi.org/10.1098/rspb.2001.1599

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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.