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Ticks and Tickborne Bacterial Diseases in Humans: An Emerging Infectious Threat

Parola, P., Raoult, D.·2001·Clinical Infectious Diseases

Abstract

Ticks are currently considered to be second only to mosquitoes as vectors of human infectious diseases in the world. Each tick species has preferred environmental conditions and biotopes that determine the geographic distribution of the ticks and, consequently, the risk areas for tickborne diseases. This is particularly the case when ticks are vectors and reservoirs of the pathogens. Since the identification of Borrelia burgdorferi as the agent of Lyme disease in 1982, 15 ixodid-borne bacterial pathogens have been described throughout the world, including 8 rickettsiae, 3 ehrlichiae, and 4 species of the Borrelia burgdorferi complex. This article reviews and illustrate various aspects of the biology of ticks and the tickborne bacterial diseases (rickettsioses, ehrlichioses, Lyme disease, relapsing fever borrelioses, tularemia, Q fever), particularly those regarded as emerging diseases. Methods are described for the detection and isolation of bacteria from ticks and advice is given on how tick bites may be prevented and how clinicians should deal with patients who have been bitten by ticks.

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Metadata

Authors
Parola, P., & Raoult, D.
Venue
Clinical Infectious Diseases
Published
2001-03-15
Volume
32
Issue
6
Pages
897-928
ISSN
  • 1058-4838 (ISSN-L)
  • 1537-6591
OpenAlex
W2036415660
Cited by
1,268
References
0
FWCI
25.23
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Ticks and Tickborne Bacterial Diseases in Humans: An Emerging Infectious Threat. https://app.cochat.ai/papers/10.1086/319347
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Parola, P., & Raoult, D. (2001). Ticks and Tickborne Bacterial Diseases in Humans: An Emerging Infectious Threat. Clinical Infectious Diseases. https://doi.org/10.1086/319347

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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.