Literature DB >> 7554502

Lyme disease.

D T Dennis1.   

Abstract

A clear understanding of the epidemiology of Lyme disease is needed to bring about its effective treatment, prevention, and control. Strategies for effective intervention must be based on quantitative descriptions of the complex interactions of B. burgdorferi with its human and other vertebrate hosts, tick vectors, and the environment. Sound decision making on diagnosis and patient management requires an understanding of the prior probabilities of infection and disease, the performance characteristics of laboratory tests, and the cost-benefits of various treatments. Lyme disease is still a relatively new disease for which there are many unanswered questions; it is an exciting and challenging model of an emerging vector-borne zoonotic disease.

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Year:  1995        PMID: 7554502

Source DB:  PubMed          Journal:  Dermatol Clin        ISSN: 0733-8635            Impact factor:   3.478


  4 in total

1.  Predisposing factors for individuals' Lyme disease prevention practices: Connecticut, Maine, and Montana.

Authors:  J E Herrington; G L Campbell; R E Bailey; M L Cartter; M Adams; E L Frazier; T A Damrow; K F Gensheimer
Journal:  Am J Public Health       Date:  1997-12       Impact factor: 9.308

2.  Temporal correlations between tick abundance and prevalence of ticks infected with Borrelia burgdorferi and increasing incidence of Lyme disease.

Authors:  K C Stafford; M L Cartter; L A Magnarelli; S H Ertel; P A Mshar
Journal:  J Clin Microbiol       Date:  1998-05       Impact factor: 5.948

3.  Serologic diagnosis of canine and equine borreliosis: use of recombinant antigens in enzyme-linked immunosorbent assays.

Authors:  L A Magnarelli; R A Flavell; S J Padula; J F Anderson; E Fikrig
Journal:  J Clin Microbiol       Date:  1997-01       Impact factor: 5.948

4.  Comparison of disseminated and nondisseminated strains of Borrelia burgdorferi sensu stricto in mice naturally infected by tick bite.

Authors:  Marc C Dolan; Joseph Piesman; Bradley S Schneider; Martin Schriefer; Kevin Brandt; Nordin S Zeidner
Journal:  Infect Immun       Date:  2004-09       Impact factor: 3.441

  4 in total

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