B
Baba Seidu
Researcher at Higher College of Technology
Publications - 24
Citations - 354
Baba Seidu is an academic researcher from Higher College of Technology. The author has contributed to research in topics: Basic reproduction number & Population. The author has an hindex of 8, co-authored 24 publications receiving 194 citations. Previous affiliations of Baba Seidu include University for Development Studies & Universidad del Desarrollo.
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Sensitivity assessment and optimal economic evaluation of a new COVID-19 compartmental epidemic model with control interventions.
Joshua Kiddy K. Asamoah,Zhen Jin,Gui-Quan Sun,Gui-Quan Sun,Baba Seidu,Ernest Yankson,Afeez Abidemi,Francis T. Oduro,Stephen E. Moore,Eric Okyere +9 more
TL;DR: In this article, the authors proposed a Sensitive, Exposed, Asymptomatic, Quarantined asymptotic, Severely infected, Hospitalized, Recovered, Recovering, Deceased, and Protective susceptible (individuals who observe health protocols) compartmental structure to describe the dynamics of COVID-19.
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Modelling of Rabies Transmission Dynamics Using Optimal Control Analysis
TL;DR: It is predicted that the global alliance for rabies control’s aim of working to eliminate deaths from canine rabies by 2030 is attainable through mass vaccination of susceptible dogs and continuous use of pre- and postexposure prophylaxis in humans.
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Mathematical Modelling of Bacterial Meningitis Transmission Dynamics with Control Measures.
Joshua Kiddy K. Asamoah,Joshua Kiddy K. Asamoah,Farai Nyabadza,Baba Seidu,Mehar Chand,Hemen Dutta +5 more
TL;DR: Numerical simulation of the optimal problem demonstrates that the best strategy to control bacterial meningitis is to combine vaccination with other interventions (such as treatment and public health education), and stakeholders should press hard for the production of existing/new vaccines and antibiotics.
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Optimal control of HIV/AIDS in the workplace in the presence of careless individuals.
TL;DR: A nonlinear dynamical system is proposed and qualitatively analyzed to study the dynamics of HIV/AIDS in the workplace and reveals that a multifaceted approach to the fight against the disease is more effective than single control strategies.
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Mathematical Analysis of the Effects of Controls on Transmission Dynamics of SARS-CoV-2
TL;DR: In this article, a deterministic model was developed to study the transmission dynamics of the SARS-CoV-2 with two categories of the susceptible (i.e., Immigrant Susceptibles and Local Susceptible) and the model was shown to have a globally stable disease-free equilibrium point whenever the basic reproduction number R 0 is less than unity.