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I. K. Dontwi

Publications (4)

Modelling Hepatitis B in A High Prevalence District in Ghana

I. K. Dontwi, W. Obeng-Denteh, L. Obiri-Apraku & E. A. Andam · Journal of Advances in Mathematics and Computer Science · 2014

We use the SIR model Kermack and Mckendrickand for hepatitis B with vaccination. The main goal is to use existing clinical hepatitis B data from the biostatistics Department of the Tano North District Health Directorate to formulate a mathematical model to understand the dynamics...

Open access Research Article 10.9734/BJMCS/2014/4682

A Mathematical Model to Predict the Prevalence and Transmission Dynamics of Tuberculosis in Amansie West District, Ghana

I. K. Dontwi, W. Obeng-Denteh, E. A. Andam & L. Obiri-Apraku · Journal of Advances in Mathematics and Computer Science · 2013

In this paper, a Susceptible - Exposed - Infected - Recovered (SEIR) epidemiological model is formulated to determine the transmission of tuberculosis. The equilibrium points of the model are found and their stability is investigated. By analyzing the model, a threshold parameter...

Open access Research Article 10.9734/BJMCS/2014/4681

Stability Analysis of Zika – Malaria Co-infection Model for Malaria Endemic Region

John Amoah-Mensah, I. K. Dontwi & E. Bonyah · Journal of Advances in Mathematics and Computer Science · 2018

This article proposes a system of nine nonlinear dynamical model to study transmission dynamics of both Zika and Malaria in malaria-endemic areas such as Kedougou in the Southeastern part of Senegal and other parts of the world where it is possible to have co-infection of the two...

Open access Research Article 10.9734/JAMCS/2018/37229

Threshold Analysis of Wavelet Based Fingerprint Feature Extraction Methods on Multiple Impression Dataset

P. Amoako-Yirenkyi, N. K. Frempong, J. K. Appati, J. B. Hafron-Acquah & I. K. Dontwi · Journal of Advances in Mathematics and Computer Science · 2014

In recent years, fingerprint recognition has been moving through series of evolutions with the intent to decrease the False Acceptance Rate (FAR) and the False Rejection Rate (FRR) in order to achieve minimum Equal Error Rate (EER) while increasing recognition rate. In practical...

Open access Research Article 10.9734/BJMCS/2015/13000