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Garira, Winston Mulaudzi, Matodzi Stanley 2012-12-19T06:54:02Z 2012-12-19T06:54:02Z 2012-12-19 Mulaudzi, M.S. 2012. Mathematical modelling of transmission and control of malaria. . . http://hdl.handle.net/11602/58 http://hdl.handle.net/11602/58 Mulaudzi MS. Mathematical modelling of transmission and control of malaria. []. , 2012 [cited yyyy month dd]. Available from: http://hdl.handle.net/11602/58 Mulaudzi, M. S. (2012). <i>Mathematical modelling of transmission and control of malaria</i>. (). . Retrieved from http://hdl.handle.net/11602/58 Mulaudzi, Matodzi Stanley. <i>"Mathematical modelling of transmission and control of malaria."</i> ., , 2012. http://hdl.handle.net/11602/58 TY - AU - Mulaudzi, Matodzi Stanley DA - 2012-12-19 DB - ResearchSpace DP - Univen KW - Mathematical modelling KW - Transmission KW - Malaria LK - https://univendspace.univen.ac.za PY - 2012 T1 - Mathematical modelling of transmission and control of malaria TI - Mathematical modelling of transmission and control of malaria UR - http://hdl.handle.net/11602/58 ER - M.Sc. (Mathematics) Department of Mathematics and Applied Mathematics Malaria starts with plasmodium sporozoites infection of the host liver, where de­velopment into blood stage parasites occurs. A number of deterministic models are developed in this thesis. The release of modified mosquitoes aims to displace gradually the wild (natural) mosquito from the habitat. We discuss the suitability of this tech­nique when applied to pre-domestically adapted plasmodium falciparum mosquitoes which are transmissor of malaria disease. The dynamics of interaction of sporozoites, liver cells, merozoites and red blood cells which cause the symptoms and pathology of the disease is comprehensively studied. We then show how variability of host-parasite immunity is incorporated in the model which are constructed to include liver and blood compartments by subdividing the host population into various mutually exclusive com­partments. The increase in eggs, larval and pupal stages of mosquitoes increase the vector mosquito population and transmission of the disease, hence the suggestion that immature and adult mosquitoes be controlled extensively. The models which are in the form of nonlinear ordinary differential equations are rigorously analysed using ex­ tensively analytic and numerical techniques to determine important epidemiological thresholds, stability of the steady states and the persistence of infection in the respec­tive populations. Conclusions are made based on the results obtained from the analysis of the models of malaria that have been developed 1 online resource (xi, 143 leaves): color illustrations en PDF Mathematical modelling Transmission Malaria UCTD 614.53205118 Malaria Malaria -- Prevention Mathematical modelling of transmission and control of malaria Dissertation open.access