dc.contributor.author |
Strydom, Duayne
|
|
dc.contributor.author |
Küsel, R.R. (Ralf)
|
|
dc.contributor.author |
Craig, Ian Keith
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|
dc.date.accessioned |
2018-01-25T13:05:16Z |
|
dc.date.issued |
2017-12 |
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dc.description.abstract |
The risk of transmission of tuberculosis (TB) in confined spaces is analyzed using the Gammaitoni and Nucci model and its variant, a dose response model. The dose response model with its additional parameters has the benefit of taking the immune status and susceptibility of an individual into account, as a separate term from the generation parameter. It is shown via a sensitivity analysis and a model algebraic identifiability analysis that there is little benefit in using the more complex dose response model unless the number of infectious TB particles in the air can be measured. This is because the uncertainties associated with the additional dose response model parameters are otherwise lumped into the parameter representing the generation of infectious TB particles. |
en_ZA |
dc.description.department |
Electrical, Electronic and Computer Engineering |
en_ZA |
dc.description.embargo |
2018-12-30 |
|
dc.description.librarian |
hj2018 |
en_ZA |
dc.description.uri |
https://www.journals.elsevier.com/ifac-papersonline |
en_ZA |
dc.identifier.citation |
Strydom, D., Küsel, R.R. & Craig, I.K. 2017, 'When is it appropriate to model transmission of tuberculosis using a dose response model?', IFAC-PapersOnLine, vol. 50, no. 2, pp. 31-36. |
en_ZA |
dc.identifier.issn |
1474-6670 |
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dc.identifier.other |
10.1016/j.ifacol.2017.12.006 |
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dc.identifier.uri |
http://hdl.handle.net/2263/63743 |
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dc.language.iso |
en |
en_ZA |
dc.publisher |
Elsevier |
en_ZA |
dc.rights |
© 2017 IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in IFAC papers online. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in IFAC papers online, vol. 50, no. 2, pp. 31-36, 2017. doi : 10.1016/j.ifacol.2017.12.006. |
en_ZA |
dc.subject |
Tuberculosis (TB) |
en_ZA |
dc.subject |
Risk of transmission model |
en_ZA |
dc.subject |
Risk in transmission control |
en_ZA |
dc.subject |
Quanta |
en_ZA |
dc.title |
When is it appropriate to model transmission of tuberculosis using a dose response model? |
en_ZA |
dc.type |
Postprint Article |
en_ZA |