Journal article
Incorporating time postinoculation into a dose-response model of Yersinia pestis in mice
Journal of applied microbiology, v 107(3), pp 727-735
01 Sep 2009
PMID: 19302316
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
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.
Metrics
Details
- Title
- Incorporating time postinoculation into a dose-response model of Yersinia pestis in mice
- Creators
- Y. Huang - Drexel UniversityT. A. Bartrand - Drexel UniversityC. N. Haas - Drexel UniversityM. H. Weir - Drexel University
- Publication Details
- Journal of applied microbiology, v 107(3), pp 727-735
- Publisher
- Wiley
- Number of pages
- 9
- Grant note
- R83236201 / US EPA; United States Environmental Protection Agency US Environmental Protection Agency; United States Environmental Protection Agency US Department of Homeland Security; United States Department of Homeland Security (DHS) Centre for Advancing Microbial Risk Assessment
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering; Marketing
- Web of Science ID
- WOS:000268854000003
- Scopus ID
- 2-s2.0-68849097564
- Other Identifier
- 991019167588704721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Biotechnology & Applied Microbiology
- Microbiology