Incorporating time postinoculation into a dose–response model of Yersinia pestis in mice
Article first published online: 18 MAR 2009
© 2009 The Authors. Journal compilation © 2009 The Society for Applied Microbiology
Journal of Applied Microbiology
Volume 107, Issue 3, pages 727–735, September 2009
How to Cite
Huang, Y., Bartrand, T.A., Haas, C.N. and Weir, M.H. (2009), Incorporating time postinoculation into a dose–response model of Yersinia pestis in mice. Journal of Applied Microbiology, 107: 727–735. doi: 10.1111/j.1365-2672.2009.04248.x
- Issue published online: 10 AUG 2009
- Article first published online: 18 MAR 2009
- 2008/0627: received 13 April 2008, revised 8 January 2009 and accepted 8 January 2009
- dose–response model;
- maximum likelihood estimation;
- time postinoculation;
- Yersinia pestis
Aims: To develop a time-dependent dose–response model for describing the survival of animals exposed to Yersinia pestis.
Methods and Results: Candidate time-dependent dose–response models were fitted to a survival data set for mice intraperitoneally exposed to graded doses of Y. pestis using the maximum likelihood estimation method. An exponential dose–response model with the model parameter modified by an inverse-power dependency of time postinoculation provided a statistically adequate fit to the experimental survival data. This modified model was verified by comparison with prior studies.
Conclusions: The incorporated time dependency quantifies the expected temporal effect of in vivo bacteria growth in the dose–response relationship. The modified model describes the development of animal infectious response over time and represents observed responses accurately.
Significance and Impact of the Study: This is the first study to incorporate time in a dose–response model for Y. pestis infection. The outcome may be used for the improved understanding of in vivo bacterial dynamics, improved postexposure decision making or as a component to better assist epidemiological investigations.