ArticleHealthcare analytics (New York, N.Y.)2023
A fractional-order mathematical model for malaria and COVID-19 co-infection dynamics.
Article in Healthcare analytics (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 42 citations in OpenAlex.
- Optimal control and cost-effectiveness analysis of PfSPZ vaccination and indoor residual spraying in malaria transmission: a case study in Keerom.Frontiers in public health · 2026Article
- Modelling the dynamically consistent numerical methods for COVID-19 disease with cost effectiveness strategies.Scientific reports · 2025Article
- Fractional-order mathematical modeling of toxoplasmosis transmission dynamics with harmonic mean-type incidence rate.Scientific reports · 2025Article
- Dynamic analysis and optimal control of a hybrid fractional monkeypox disease model in terms of external factors.Scientific reports · 2025Article
- Modeling and computational study of cancer treatment with radiotherapy using real data.PloS one · 2025Article
- Exploring optimal control strategies in a nonlinear fractional bi-susceptible model for Covid-19 dynamics using Atangana-Baleanu derivative.Scientific reports · 2024Article
- Optimal time-dependent SUC model for COVID-19 pandemic in India.BMC infectious diseases · 2024Article
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Authors and funding
6 authors at 5 institutions in 2 countries.
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Abstract
This study proposes a fractional-order mathematical model for malaria and COVID-19 co-infection using the Atangana-Baleanu Derivative. We explain the various stages of the diseases together in humans and mosquitoes, and we also establish the existence and uniqueness of the fractional order co-infection model solution using the fixed point theorem. We conduct the qualitative analysis along with an epidemic indicator, the basic reproduction number R0 of this model. We investigate the global stability at the disease and endemic free equilibrium of the malaria-only, COVID-19-only, and co-infection models. We run different simulations of the fractional-order co-infection model using a two-step Lagrange interpolation polynomial approximate method with the aid of the Maple software package. The results reveal that reducing the risk of malaria and COVID-19 by taking preventive measures will reduce the risk factor for getting COVID-19 after contracting malaria and will also reduce the risk factor for getting malaria after contracting COVID-19 even to the point of extinction.
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