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Tick-Borne Rickettsioses around the World: Emerging Diseases Challenging Old Concepts

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Parola, Philippe, Paddock, Christopher D., Raoult, Didier·2005·Clinical Microbiology Reviews

Abstract

SUMMARY: During most of the 20th century, the epidemiology of tick-borne rickettsioses could be summarized as the occurrence of a single pathogenic rickettsia on each continent. An element of this paradigm suggested that the many other characterized and noncharacterized rickettsiae isolated from ticks were not pathogenic to humans. In this context, it was considered that relatively few tick-borne rickettsiae caused human disease. This concept was modified extensively from 1984 through 2005 by the identification of at least 11 additional rickettsial species or subspecies that cause tick-borne rickettsioses around the world. Of these agents, seven were initially isolated from ticks, often years or decades before a definitive association with human disease was established. We present here the tick-borne rickettsioses described through 2005 and focus on the epidemiological circumstances that have played a role in the emergence of the newly recognized diseases.

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Metadata

Authors
Parola, P., Paddock, C. D., & Raoult, D.
Venue
Clinical Microbiology Reviews
Published
2005-10
Volume
18
Issue
4
Pages
719-756
ISSN
  • 0893-8512 (ISSN-L)
  • 1098-6618
OpenAlex
W2167208380
Cited by
1,158
References
0
FWCI
33.45
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Tick-Borne Rickettsioses around the World: Emerging Diseases Challenging Old Concepts. https://app.cochat.ai/papers/10.1128/cmr.18.4.719-756.2005
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Parola, P., Paddock, C. D., & Raoult, D. (2005). Tick-Borne Rickettsioses around the World: Emerging Diseases Challenging Old Concepts. Clinical Microbiology Reviews. https://doi.org/10.1128/cmr.18.4.719-756.2005

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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.