| Use this URL to cite or link to this record in EThOS: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.737648 |
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| Title: | Time-delayed models of infectious diseases dynamics | ||||||
| Author: | Okonna, Ime Udo |
ISNI:
0000 0004 7223 6004
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| Awarding Body: | University of Sussex | ||||||
| Current Institution: | University of Sussex | ||||||
| Date of Award: | 2018 | ||||||
| Availability of Full Text: |
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| Abstract: | |||||||
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This research work is on time-delayed models of infectious diseases dynamics. The dynamics of infectious diseases are studied in the presence of time delays representing temporary immunity or latency. We have designed and analysed time-delayed models with various parameters to simulate disease dynamics, in a view to gaining insight into the behaviour of a population in the presence of infectious diseases, and the reaction of the population to changes in the management procedure of such infections.
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| Supervisor: | Not available | Sponsor: | Not available | ||||
| Qualification Name: | Thesis (Ph.D.) | Qualification Level: | Doctoral | ||||
| EThOS ID: | uk.bl.ethos.737648 | DOI: | Not available | ||||
| Keywords: | QA0299 Analysis. Including analytical methods connected with physical problems ; RC0109 Infectious and parasitic diseases | ||||||
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