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Papilloma Virus Infection and Vaccination and Modeling the Epidemiology of Human Its Impact on Cervical Cancer in Ghana

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dc.contributor.author Obeng-Denteh, Wiliam, Robert, Benedict, Kwaku Afrifa, Barnes, Mari Addo
dc.date.accessioned 2016-05-27T12:36:22Z
dc.date.accessioned 2022-01-16T06:45:22Z
dc.date.available 2016-05-27T12:36:22Z
dc.date.available 2022-01-16T06:45:22Z
dc.date.issued 2016-05-27
dc.identifier.issn 201620
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/344
dc.description.abstract This paper is purported to assess the impact of the modeling of bivalent Human Papillomavirus (HPV) vaccine and Pap test on prevalence of carcinogenic HPV 16/18 types in Ghanaian females. For this purpose, a non-linear dynamic model of homogeneous transmission for HPV 16/18 type’s infection is developed, which accounts for immunity due to vaccination in particular. The recovery class was partitioned into two compartments, temporary recovery and permanent recovery . We propose ODE equations to study HPV infection in the general female population. The vaccinated reproduction number described by Diekmann (2010) called the Next Generation Operator approach. The proposed models were analyzed using quantitative method, with regard to steady-state stability and sensitivity analysis. Precisely, the stability of the models is investigated depending on the value for criterion employed to study the stability of the endemic steady-state. Prevalence data are used to fit a numerical HPV model, so as to assess infection rates. We also support our theoretical analysis with numerical simulations. This provides a framework for future for general female population was derived using the approach for the disease free steady-state and Routh-Hurwitz research and public-health policy to determine the dependence of HPV vaccination programs on age, as well as how the vaccine and Pap test can reduce the number of infections and deaths due to cervical cancer. We estimated the basic reproductive number for the general female population based on current vaccination statistics using the systems of ODE’s to be > 1, which indicates that the pathogen is able to invade the general female population and cervical cancer cases will increase in the future. The derivation and analysis of the modified mathematical model enabled a better understanding of the dynamics of the spread of Human Papilloma Virus infection and reduction of cervical cancer cases in Ghana. en_US
dc.language.iso en en_US
dc.relation.ispartofseries 201620;
dc.subject Differential equations; susceptible; infected; temporary recovery and permanent recovery; simulation; transmission dynamics; Human papillomavirus; cervical cancer. en_US
dc.title Papilloma Virus Infection and Vaccination and Modeling the Epidemiology of Human Its Impact on Cervical Cancer in Ghana en_US
dc.type Article en_US


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