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How should environmental stress affect the population dynamics of disease?

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Lafferty, Kevin D., Holt, Robert D.·2003·Ecology Letters

Abstract

We modelled how stress affects the population dynamics of infectious disease. We were specifically concerned with stress that increased susceptibility of uninfected hosts when exposed to infection. If such stresses also reduced resources, fecundity and/or survivorship, there was a reduction in the host carrying capacity. This lowered the contact between infected and uninfected hosts, thereby decreasing transmission. In addition, stress that increased parasite mortality decreased disease. The opposing effects of stress on disease dynamics made it difficult to predict the response of disease to environmental stress. We found analytical solutions with negative, positive, convex and concave associations between disease and stress. Numerical simulations with randomly generated parameter values suggested that the impact of host‐specific diseases generally declined with stress while the impact of non‐specific (or open) diseases increased with stress. These results help clarify predictions about the interaction between environmental stress and disease in natural populations.

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Metadata

Authors
Lafferty, K. D., & Holt, R. D.
Venue
Ecology Letters
Publisher
Wiley
Published
2003-06-13
Volume
6
Issue
7
Pages
654-664
ISSN
  • 1461-023X (ISSN-L)
  • 1461-0248
OpenAlex
W2130380405
Cited by
344
References
0
FWCI
10.22
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: How should environmental stress affect the population dynamics of disease? https://app.cochat.ai/papers/10.1046/j.1461-0248.2003.00480.x
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Lafferty, K. D., & Holt, R. D. (2003). How should environmental stress affect the population dynamics of disease? Ecology Letters. https://doi.org/10.1046/j.1461-0248.2003.00480.x

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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.