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Fredrick Asenso Wireko

Mathematics

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Research Summary

(inferred from publications by AI)

The researcher has focused extensively on several key themes within their work, including optimal control dynamics in infectious diseases such as HIV, gonorrhea, and Ebola, alongside broader research into poxvirus and parasitic disease transmission. Their work integrates mathematical models with advanced methodologies like fractional calculus and optimization techniques to address complex systems across public health, ecology, and environmental science. The researcher's interdisciplinary approach emphasizes the application of these tools in understanding and mitigating outbreaks, while also highlighting their role in advancing innovative modeling approaches that consider multiple factors in disease spread.

Research Themes

All Papers

Optimal control dynamics of Gonorrhea in a structured population(2023)
A fractal–fractional model of Ebola with reinfection(2023)
Mathematical analysis of Ebola considering transmission at treatment centres and survivor relapse using fractal-fractional Caputo derivatives in Uganda(2024)
Correction to: Modeling the effect of memory on the spread of Query fever considering humans, animals and the environment(2025)
A fractal–fractional order model for exploring the dynamics of Monkeypox disease(2023)
Modeling the Impact of Double‐Dose Vaccination and Saturated Transmission Dynamics on Mpox Control(2025)
Author response for "Modeling the Impact of Double‐Dose Vaccination and Saturated Transmission Dynamics on Mpox Control"(2025)
Fractional Derivative Technique for Modeling the Dynamics of Social Media Impacts(2024)
A fractional order model of Lymphatic Filariasis and Visceral Leishmaniasis coinfection(2025)
Non-optimal and optimal fractional control analysis of measles using real data(2024)
A dynamical model of drinking and smoking with optimal control analysis(2024)
Modelling the dynamics of Ebola disease transmission with optimal control analysis(2024)
A fractional order Ebola transmission model for dogs and humans(2024)
Modelling the transmission behavior of measles disease considering contaminated environment through a fractal-fractional Mittag-Leffler kernel(2024)
The maximum range method for finding initial basic feasible solution for transportation problems(2025)
The Impact of Memory Effects on Lymphatic Filariasis Transmission Using Incidence Data From Ghana(2025)
The Eigenspace Spectral Regularization Method for solving Discrete Ill-Posed Systems(2021)
The Eigenspace Spectral Regularization Method for Solving Discrete Ill-Posed Systems(2021)
Mathematical Modelling of Ebola with Optimal Control and Cost-Effectiveness Analysis(2023)
Modelling the dynamics of exposure to smoke from solid cooking fuels and anaemia among women in rural areas(2025)
Modeling the effect of memory on the spread of Query fever considering humans, animals and the environment(2025)
Author response for "The Impact of Memory Effects on Lymphatic Filariasis Transmission Using Incidence Data From Ghana"(2025)

Collaboration Network

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About This Profile

This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.