Please use this identifier to cite or link to this item: http://hdl.handle.net/10311/1853
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dc.contributor.authorChaturvedi, Ojaswita-
dc.contributor.authorMasupe, Shedden-
dc.contributor.authorMasupe, Tiny-
dc.date.accessioned2018-11-26T10:07:53Z-
dc.date.available2018-11-26T10:07:53Z-
dc.date.issued2013-10-
dc.identifier.citationChaturvedi, 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. 18-26en_US
dc.identifier.issn2250-3005 (Online)-
dc.identifier.urihttp://hdl.handle.net/10311/1853-
dc.descriptionNB: Some scientific symbols may not appear as they are in the original document.en_US
dc.description.abstractA 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.en_US
dc.language.isoenen_US
dc.publisherIJCER Online Publication Inc., http://www.ijceronline.com/en_US
dc.subjectSalmonellaen_US
dc.subjectSalmonellosisen_US
dc.subjectDiarrheaen_US
dc.subjectMathematical Modelingen_US
dc.subjectEpidemicsen_US
dc.subjectEpidemic Modelingen_US
dc.subjectBasic Reproduction Numberen_US
dc.titleSIRS model for the dynamics of non-typhoidal salmonella epidemicsen_US
dc.typePublished Articleen_US
dc.linkhttp://www.ijceronline.com/papers/Vol3_issue10/part%202/D03102018026.pdfen_US
Appears in Collections:Research articles (Dept of Family Medicine & Public Health)

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