Journal article
Dose-response model of Coxiella burnetii (Q fever)
Risk analysis, v 31(1), pp 120-128
Jan 2011
PMID: 20723147
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Q fever is a zoonotic disease caused by the intracellular gram-negative bacterium Coxiella burnetii (C. burnetii), which only multiplies within the phagolysosomal vacuoles. Q fever may manifest as acute or chronic disease. The acute form is generally not fatal and manifestes as self-controlled febrile illness. Chronic Q fever is usually characterized by endocarditis. Many animal models, including humans, have been studied for Q fever infection through various exposure routes. The studies considered different endpoints including death for animal models and clinical signs for human infection. In this article, animal experimental data available in the open literature were fit to suitable dose-response models using maximum likelihood estimation. Research results for tests of severe combined immunodeficient mice inoculated intraperitoneally (i.p.) with C. burnetii were best estimated with the Beta-Poisson dose-response model. Similar inoculation (i.p.) trial outcomes conducted on C57BL/6J mice were best fit by an exponential model, whereas those tests run on C57BL/10ScN mice were optimally represented by a Beta-Poisson dose-response model.
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Details
- Title
- Dose-response model of Coxiella burnetii (Q fever)
- Creators
- Sushil B Tamrakar - Drexel UniversityAnne Haluska - University of Illinois at Urbana-ChampaignCharles N Haas - Drexel UniversityTimothy A Bartrand - Drexel University
- Publication Details
- Risk analysis, v 31(1), pp 120-128
- Publisher
- Wiley; United States
- Number of pages
- 9
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000285763500012
- Scopus ID
- 2-s2.0-78650539307
- Other Identifier
- 991014877660904721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Mathematics, Interdisciplinary Applications
- Public, Environmental & Occupational Health
- Social Sciences, Mathematical Methods