Journal article
Dose-Response Models Incorporating Aerosol Size Dependency for Francisella tularensis
Risk analysis, v 34(5), pp 911-928
01 May 2014
PMID: 24382336
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The effect of bioaerosol size was incorporated into predictive dose-response models for the effects of inhaled aerosols of Francisella tularensis (the causative agent of tularemia) on rhesus monkeys and guinea pigs with bioaerosol diameters ranging between 1.0 and 24 mu m. Aerosol-size-dependent models were formulated as modification of the exponential and beta-Poisson dose-response models and model parameters were estimated using maximum likelihood methods and multiple data sets of quantal dose-response data for which aerosol sizes of inhaled doses were known. Analysis of F. tularensis dose-response data was best fit by an exponential dose-response model with a power function including the particle diameter size substituting for the rate parameter k scaling the applied dose. There were differences in the pathogen's aerosol-size-dependence equation and models that better represent the observed dose-response results than the estimate derived from applying the model developed by the International Commission on Radiological Protection (ICRP, 1994) that relies on differential regional lung deposition for human particle exposure.
Metrics
Details
- Title
- Dose-Response Models Incorporating Aerosol Size Dependency for Francisella tularensis
- Creators
- Sondra S. Teske - Drexel UniversityMark H. Weir - Department of Public HealthTimothy A. Bartrand - Tetra TechYin Huang - Department of Public HealthSushil B. Tamrakar - Drexel UniversityCharles N. Haas - Drexel University
- Publication Details
- Risk analysis, v 34(5), pp 911-928
- Publisher
- Wiley
- Number of pages
- 18
- Grant note
- R83236201 / U.S. Department of Homeland Security; United States Department of Homeland Security (DHS) U.S. Environmental Protection Agency; United States Environmental Protection Agency Center for Advancing Microbial Risk Assessment
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000335881700012
- Scopus ID
- 2-s2.0-84900538398
- Other Identifier
- 991019168027404721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Mathematics, Interdisciplinary Applications
- Public, Environmental & Occupational Health
- Social Sciences, Mathematical Methods