A Novel Stochastic Multi-Scale Model of Francisella tularensis Infection to Predict Risk of Infection in a Laboratory

Carruthers, J, López-García, M orcid.org/0000-0003-3833-8595, Gillard, JJ et al. (3 more authors) (2018) A Novel Stochastic Multi-Scale Model of Francisella tularensis Infection to Predict Risk of Infection in a Laboratory. Frontiers in Microbiology, 9. ARTN 1165. ISSN 1664-302X

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2018 Carruthers, López-García, Gillard, Laws, Lythe and Molina-París. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. (https://creativecommons.org/licenses/by/4.0/)
Keywords: Francisella tularensis; Markov process; multi-scale model; dose response probability; mean response time; zonal ventilation model
Dates:
  • Published: 6 July 2018
  • Accepted: 14 May 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Maths and Physical Sciences (Leeds) > School of Mathematics (Leeds) > Applied Mathematics (Leeds)
Funding Information:
FunderGrant number
MRCMR/N014855/1
Depositing User: Symplectic Publications
Date Deposited: 16 May 2018 11:41
Last Modified: 14 Aug 2018 08:40
Status: Published
Publisher: Frontiers Media
Identification Number: https://doi.org/10.3389/fmicb.2018.01165
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