Please use this identifier to cite or link to this item:
http://hdl.handle.net/10311/1853
Title: | SIRS model for the dynamics of non-typhoidal salmonella epidemics |
Authors: | Chaturvedi, Ojaswita Masupe, Shedden Masupe, Tiny |
Keywords: | Salmonella Salmonellosis Diarrhea Mathematical Modeling Epidemics Epidemic Modeling Basic Reproduction Number |
Issue Date: | Oct-2013 |
Publisher: | IJCER Online Publication Inc., http://www.ijceronline.com/ |
Citation: | Chaturvedi, O., Masupe, S. & Masupe, T. (2013) SIRS model for the dynamics of non-typhoidal salmonella epidemics. International Journal of Computational Engineering Research, Vol. 3, No. 10, pp. 18-26 |
Abstract: | A continuous mathematical model of salmonella diarrhea is introduced in this paper. According to the pathogenesis of salmonella, the model had been designed as an SIRS system comprising of a non-constant population. The disease-free state and the basic reproduction number (R0) have been computed for this system. In epidemics, there are always two cases: R0 < 1 (disease-free state) and R0 > 1 (epidemic existing state). Simulations of the system have been presented for both these cases which show the variations of the population in different situations. Data that has been used for examples and simulations is based on the demographics and disease outbreaks in Botswana. |
Description: | NB: Some scientific symbols may not appear as they are in the original document. |
URI: | http://hdl.handle.net/10311/1853 |
ISSN: | 2250-3005 (Online) |
Appears in Collections: | Research articles (Dept of Family Medicine & Public Health) |
Files in This Item:
File | Description | Size | Format | |
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Chaturvedi_IJCER_2013.pdf | 679.57 kB | Adobe PDF | View/Open |
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