4.6 Article

Integral Projection Models for host-parasite systems with an application to amphibian chytrid fungus

Journal

METHODS IN ECOLOGY AND EVOLUTION
Volume 7, Issue 10, Pages 1182-1194

Publisher

WILEY
DOI: 10.1111/2041-210X.12561

Keywords

Batrachochytrium dendrobatidis; devil facial tumour disease; fungal disease; macroparasite models; microparasite models; parasite aggregation; Rana muscosa; white-nose syndrome

Categories

Funding

  1. National Science Foundation [DEB-1336290, DEB-1115895, DEB-1316549, DGE 1144085]
  2. National Institutes of Health [R01GM109499]
  3. Direct For Biological Sciences [1336290] Funding Source: National Science Foundation
  4. Direct For Biological Sciences
  5. Division Of Environmental Biology [1316549] Funding Source: National Science Foundation
  6. Division Of Environmental Biology [1336290] Funding Source: National Science Foundation

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1. Host-parasite models are typically constructed under either a microparasite or macroparasite paradigm. However, this has long been recognized as a false dichotomy because many infectious disease agents, including most fungal pathogens, have attributes of both microparasites andmacroparasites. 2. We illustrate how Integral ProjectionModels (IPMs) provide a novel modelling framework to represent both types of pathogens. We build a simple host-parasite IPM that tracks both the number of susceptible and infected hosts and the distribution of parasite burdens in infected hosts. 3. The vital rate functions necessary to build IPMs for disease dynamics share many commonalities with classic micro and macroparasite models and we discuss how these functions can be parameterized to build a host-parasite IPM. We illustrate the utility of this IPM approach by modelling the temperature-dependent epizootic dynamics of amphibian chytrid fungus in Mountain yellow-legged frogs (Rana muscosa). 4. The host-parasite IPM can be applied to other diseases such as facial tumour disease in Tasmanian devils and white-nose syndrome in bats. Moreover, the host-parasite IPM can be easily extended to capturemore complex disease dynamics and provides an exciting new frontier inmodelling wildlife disease.

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