A mathematical model of Chlamydial infection incorporating movement of Chlamydial particles

Article


Mallet, D. G., Bagher-Oskouei, M., Farr, A. C., Simpson, D. P. and Sutton, K. J.. 2013. "A mathematical model of Chlamydial infection incorporating movement of Chlamydial particles." Bulletin of Mathematical Biology. 75 (11), pp. 2257-2270. https://doi.org/10.1007/s11538-013-9891-9
Article Title

A mathematical model of Chlamydial infection incorporating movement of Chlamydial particles

ERA Journal ID924
Article CategoryArticle
AuthorsMallet, D. G. (Author), Bagher-Oskouei, M. (Author), Farr, A. C. (Author), Simpson, D. P. (Author) and Sutton, K. J. (Author)
Journal TitleBulletin of Mathematical Biology
Journal Citation75 (11), pp. 2257-2270
Number of Pages14
Year2013
Place of PublicationNew York
ISSN0092-8240
1522-9602
Digital Object Identifier (DOI)https://doi.org/10.1007/s11538-013-9891-9
Web Address (URL)https://link.springer.com/article/10.1007%2Fs11538-013-9891-9
Abstract

We present a spatiotemporal mathematical model of chlamydial infection, host immune response, and movement of infectious particles. The resulting partial differential equations model both the dynamics of the infection and changes in infection profile observed spatially along the length of the host genital tract. This model advances previous Chlamydia modelling by incorporating spatial change. Numerical solutions and model analysis are carried out, and we present a hypothesis regarding the potential for treatment and prevention of infection by increasing chlamydial particle motility.

Keywordschlamydia trachomatis, partial differential equation, infectious diseases, treatment
ANZSRC Field of Research 2020490102. Biological mathematics
Public Notes

Files associated with this item cannot be displayed due to copyright restrictions.

Byline AffiliationsQueensland University of Technology
Medical College of Wisconsin, United States
Norwegian University of Science and Technology, Norway
University of Nottingham, United Kingdom
Institution of OriginUniversity of Southern Queensland
Permalink -

https://research.usq.edu.au/item/q525y/a-mathematical-model-of-chlamydial-infection-incorporating-movement-of-chlamydial-particles

  • 219
    total views
  • 9
    total downloads
  • 1
    views this month
  • 0
    downloads this month

Export as

Related outputs

An intuitive dashboard for Bayesian Network inference
Reddy, Vikas, Farr, Anna Charisse, Wu, Paul, Mengersen, Kerrie and Yarlagadda, Prasad K. D. V.. 2014. "An intuitive dashboard for Bayesian Network inference." 2nd International Conference on Mathematical Modeling in Physical Sciences (IC-MSQUARE 2013). Prague, Czech Republic 01 - 05 Sep 2013 Bristol, United Kingdom. https://doi.org/10.1088/1742-6596/490/1/012023
Factors affecting timely completion of a PhD: a complex systems approach
Pitchforth, Jegar, Beames, Stephanie, Thomas, Aleysha, Falk, Matthew, Farr, Charisse, Gasson, Susan, Thamrin, Sri Astuti and Mengersen, Kerrie. 2012. "Factors affecting timely completion of a PhD: a complex systems approach." Journal of the Scholarship of Teaching and Learning. 12 (4), pp. 124-135.
Wayfinding: a simple concept, a complex process
Farr, Anna Charisse, Kleinschmidt, Tristan, Yarlagadda, Prasad and Mengersen, Kerrie. 2012. "Wayfinding: a simple concept, a complex process." Transport Reviews. 32 (6), pp. 715-743. https://doi.org/10.1080/01441647.2012.712555
Prior and Posterior Linear Pooling for Combining Expert Opinions: Uses and Impact on Bayesian Networks—The Case of the Wayfinding Model
Farr, Charisse, Ruggeri, Fabrizio and Mengersen, Kerrie. 2018. "Prior and Posterior Linear Pooling for Combining Expert Opinions: Uses and Impact on Bayesian Networks—The Case of the Wayfinding Model." Entropy: international and interdisciplinary journal of entropy and information studies. 20 (3), pp. 1-14. https://doi.org/10.3390/e20030209
Investigating effective wayfinding in airports: a Bayesian Network approach
Farr, Anna Charisse, Kleinschmidt, Tristan, Johnson, Sandra, Yarlagadda, Prasad and Mengersen, Kerrie. 2014. "Investigating effective wayfinding in airports: a Bayesian Network approach." Transport. 29 (1), pp. 90-99. https://doi.org/10.3846/16484142.2014.898695