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Mathematical analysis of models for the transmission dynamics of mosquito borne diseases

Thesis (PhD)--University of Pretoria, 2019.

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Other Authors: Garba, Salisu M.
Format: Thesis
Language:English
Published: University of Pretoria 2020
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access_status_str Open Access
author2 Garba, Salisu M.
author_browse Garba, Salisu M.
author_facet Garba, Salisu M.
collection Thesis
dc_rights_str_mv © 2020 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Thesis (PhD)--University of Pretoria, 2019.
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institution University of Pretoria (South Africa)
language English
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license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2020
publishDateRange 2020
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spelling oai:repository.up.ac.za:2263/77885 Mathematical analysis of models for the transmission dynamics of mosquito borne diseases Garba, Salisu M. u12366090@tuks.co.za Danbaba, Usman Ahmed UCTD Thesis (PhD)--University of Pretoria, 2019. Mosquitoes are long-legged, two winged flies that are responsible for the transmission of many diseases such as Zika fever, malaria, yellow fever, chikungunya and dengue hemorrhagic fever. Mosquito borne diseases account for substantial amount of para- sitic and infectious diseases, they have profound effects on economic growth of many developing countries. There have been continuous efforts to optimize and improve on existing mosquito control strategies, as well as to develop new tools aimed at reducing burden of mosquito borne diseases. Control strategies are either applied alone or in combination depending on available resources, education, health risk and burden of the disease. The main aim of this thesis is to mathematically study three mosquito borne dis- eases in the presence of control, the diseases are Zika fever (this is because, in addition to the disease being transmitted vertically, it is the first mosquito borne disease known to be transmitted sexually), yellow fever (because despite having effective vaccine for the disease, it has continue to pose sporadic challenges in different regions of the world), and malaria (because it has the highest global burden among mosquito borne diseases despite continuous efforts to eradicate it). Some major highlights of the thesis include: Roles of mosquito vertical transmission in the transmission dynamics of mosquito borne diseases, and effects of incorporating human-human transmission are evaluated. Assessment of impact of using different control measures both in human and mosquito populations, and effects of controlling population of adult male (non-disease transmitting) mosquitoes through sterilization are conducted. Implication of incorporating aquatic stage of mosquito development in models for the transmission of mosquito borne diseases, as well as effect of temperature variation in the transmission dynamics of malaria are also studied. In Chapter 1, brief introduction to the epidemiology of mosquito borne diseases is presented. Basic results and definitions in mathematical epidemiology are also dis- cussed. In addition, some important mathematical theories and definitions used in subsequent chapters are also presented. A Zika model that incorporates vectorial ver- tical transmission, human-human horizontal transmission, as well as human-mosquito and mosquito-human transmissions is studied in Chapter 2. Another Zika model is considered in Chapter 3, the model incorporated human-human transmission in the presence of mosquito sterilization. In Chapter 4, a yellow fever model with vaccina- tion, use of bed nets and mosquito control at both aquatic and non-aquatic stages is constructed and analysed. Chapter 5 considered a temperature dependent malaria model in the presence of control. General conclusion is given in Chapter 6. Mathematics and Applied Mathematics PhD Unrestricted 2020-12-29T11:51:04Z 2020-12-29T11:51:04Z 2020/04/16 2019 Thesis Danbaba, UA 2019, Mathematical analysis of models for the transmission dynamics of mosquito borne diseases, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/77885> A2020 http://hdl.handle.net/2263/77885 en © 2020 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Mathematical analysis of models for the transmission dynamics of mosquito borne diseases
title Mathematical analysis of models for the transmission dynamics of mosquito borne diseases
title_full Mathematical analysis of models for the transmission dynamics of mosquito borne diseases
title_fullStr Mathematical analysis of models for the transmission dynamics of mosquito borne diseases
title_full_unstemmed Mathematical analysis of models for the transmission dynamics of mosquito borne diseases
title_short Mathematical analysis of models for the transmission dynamics of mosquito borne diseases
title_sort mathematical analysis of models for the transmission dynamics of mosquito borne diseases
topic UCTD
url http://hdl.handle.net/2263/77885