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Tick ecology: processes and patterns behind the epidemiological risk posed by ixodid ticks as vectors

RANDOLPH, S. E.·2004·Parasitology

Abstract

The population ecology of ticks is fundamental to the spatial and temporal variation in the risk of infection by tick-borne pathogens. Tick population dynamics can only be fully understood by quantifying the rates of the demographic processes, which are influenced by both abiotic (climatic) factors acting on the free-living tick stages and biotic (host) responses to the tick as a parasite. Within the framework of a population model, I review methods and results of attempts to quantify (1) rates of tick development and the probability of diapause, (2) the probability of questing for hosts by unfed ticks, (3) the probability of ticks attaching to a host, and (4) tick mortality rates. Biologically, these processes involve the physiological and behavioural response of ticks to temperature, moisture stress and day length that result in specific patterns of seasonal population dynamics and host relationships. Temperate and tropical patterns will be illustrated with reference mostly to Ixodes ricinus and Rhipicephalus appendiculatus, respectively.

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Metadata

Authors
RANDOLPH, S. E.
Venue
Parasitology
Published
2004-10
Volume
129
Issue
S1
Pages
S37-S65
ISSN
  • 0031-1820 (ISSN-L)
  • 1469-8161
OpenAlex
W2065644629
Cited by
509
References
3
FWCI
4.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Tick ecology: processes and patterns behind the epidemiological risk posed by ixodid ticks as vectors. https://app.cochat.ai/papers/10.1017/s0031182004004925
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RANDOLPH, S. E. (2004). Tick ecology: processes and patterns behind the epidemiological risk posed by ixodid ticks as vectors. Parasitology. https://doi.org/10.1017/s0031182004004925

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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.