2013
DOI: 10.1111/risa.12160
|View full text |Cite
|
Sign up to set email alerts
|

Dose‐Response Models Incorporating Aerosol Size Dependency for Francisella tularensis

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 μm. Aerosol-size-dependent models were formulated as modification of the exponential and β-Poisson dose-response models and model parameters were estimated using maximum likelihood methods and multiple data sets of quantal dose-response data for w… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
9
0

Year Published

2014
2014
2023
2023

Publication Types

Select...
7

Relationship

3
4

Authors

Journals

citations
Cited by 9 publications
(9 citation statements)
references
References 38 publications
0
9
0
Order By: Relevance
“…Third, the exposures in the present study utilized small particle aerosols, where the majority of particles had aerodynamic diameters between 1 and 2 μm, meant to mimic the size distribution expected for exhaled particles generated during breathing or speaking. Previous studies have demonstrated that aerosol particle size affects the regional deposition within the respiratory tract, and, subsequently, dose-infectivity relationships and disease presentation for some infectious microorganisms [ 32 , 33 , 35 , 57 , 58 ]. Given that particles with larger aerodynamic diameters would be expected to be generated during respiratory activities such as coughing, singing, or loud talking, additional studies examining the influence of particle size and regional deposition pattern within the respiratory tract on dose-response relationships and disease presentation are needed.…”
Section: Discussionmentioning
confidence: 99%
“…Third, the exposures in the present study utilized small particle aerosols, where the majority of particles had aerodynamic diameters between 1 and 2 μm, meant to mimic the size distribution expected for exhaled particles generated during breathing or speaking. Previous studies have demonstrated that aerosol particle size affects the regional deposition within the respiratory tract, and, subsequently, dose-infectivity relationships and disease presentation for some infectious microorganisms [ 32 , 33 , 35 , 57 , 58 ]. Given that particles with larger aerodynamic diameters would be expected to be generated during respiratory activities such as coughing, singing, or loud talking, additional studies examining the influence of particle size and regional deposition pattern within the respiratory tract on dose-response relationships and disease presentation are needed.…”
Section: Discussionmentioning
confidence: 99%
“…To our knowledge, modeling inhalational anthrax dose‐response data to date has been limited to inhaled dose. Weir and Haas and Teske et al . have both investigated the complex delivery of microorganisms to the alveolated region through the respiratory system.…”
Section: Discussionmentioning
confidence: 99%
“…To our knowledge, modeling inhalational anthrax dose-response data to date has been limited to inhaled dose. Weir and Haas (65) and Teske et al (66) have both investigated the complex delivery of microorganisms to the alveolated region through the respiratory system. A simpler approach was utilized for the current work, but the recent work does illustrate the importance of considering deposition in order to fully comprehend dose-response relationships.…”
Section: Deposited Dosementioning
confidence: 99%
“…VizDR uses an underlying R code has been used to develop optimized dose response parameters in 18 peer reviewed dose response modelling publications (Bartrand et al, 2008; Tamrakar and Haas, 2008a, 2008b, 2011; Huang and Haas, 2009; Huang et al, 2009; Jones et al, 2009; Weir, 2009; Weir and Haas, 2009; Watanabe et al, 2010; Huang and Haas, 2011; Teske et al, 2011; Weir and Haas, 2011; Watanabe et al, 2012; Watanabe et al, 2014; Coulliette et al, 2013; Teske et al, 2014; Breuninger and Weir, 2015). The parameters being optimized in dose response modelling code develop specific dose response models to those data used in the parameter optimization.…”
Section: Methodsmentioning
confidence: 99%