Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.737648
Title: Time-delayed models of infectious diseases dynamics
Author: Okonna, Ime Udo
ISNI:       0000 0004 7223 6004
Awarding Body: University of Sussex
Current Institution: University of Sussex
Date of Award: 2018
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Abstract:
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.
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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