Literature DB >> 21453373

Dose-response model of Rocky Mountain spotted fever (RMSF) for human.

Sushil B Tamrakar1, Charles N Haas.   

Abstract

Rickettsia rickettsii is the causative agent of Rocky Mountain spotted fever (RMSF) and is the prototype bacterium in the spotted fever group of rickettsiae, which is found in North, Central, and South America. The bacterium is gram negative and an obligate intracellular pathogen. The disease is transmitted to humans and vertebrate host through tick bites; however, some cases of aerosol transmission also have been reported. The disease can be difficult to diagnose in the early stages, and without prompt and appropriate treatment, it can be fatal. This article develops dose-response models of different routes of exposure for RMSF in primates and humans. The beta-Poisson model provided the best fit to the dose-response data of aerosol-exposed rhesus monkeys, and intradermally inoculated humans (morbidity as end point of response). The average 50% infectious dose among (ID₅₀) exposed human population, N₅₀, is 23 organisms with 95% confidence limits of 1 to 89 organisms. Similarly, ID₁₀ and ID₂₀ are 2.2 and 5.0, respectively. Moreover, the data of aerosol-exposed rhesus monkeys and intradermally inoculated humans could be pooled. This indicates that the dose-response models fitted to different data sets are not significantly different and can be described by the same relationship.
© 2011 Society for Risk Analysis.

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Year:  2011        PMID: 21453373     DOI: 10.1111/j.1539-6924.2011.01604.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  4 in total

1.  Minimal Duration of Tick Attachment Sufficient for Transmission of Infectious Rickettsia rickettsii (Rickettsiales: Rickettsiaceae) by Its Primary Vector Dermacentor variabilis (Acari: Ixodidae): Duration of Rickettsial Reactivation in the Vector Revisited.

Authors:  Michael L Levin; Shelby L Ford; Kris Hartzer; Lnna Krapiunaya; Hannah Stanley; Alyssa N Snellgrove
Journal:  J Med Entomol       Date:  2020-02-27       Impact factor: 2.278

2.  Development of a microbial dose response visualization and modelling application for QMRA modelers and educators.

Authors:  Mark H Weir; Jade Mitchell; William Flynn; Joanna M Pope
Journal:  Environ Model Softw       Date:  2016-11-24       Impact factor: 5.288

3.  Ten most important accomplishments in risk analysis, 1980-2010.

Authors:  Michael Greenberg; Charles Haas; Anthony Cox; Karen Lowrie; Katherine McComas; Warner North
Journal:  Risk Anal       Date:  2012-05       Impact factor: 4.000

Review 4.  Pseudomonas aeruginosa dose response and bathing water infection.

Authors:  D J Roser; B van den Akker; S Boase; C N Haas; N J Ashbolt; S A Rice
Journal:  Epidemiol Infect       Date:  2013-11-08       Impact factor: 4.434

  4 in total

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