Modeling the impact of control strategies on malaria and COVID-19 coinfection: insights and implications for integrated public health interventions

Author:

Abioye Adesoye Idowu,Peter Olumuyiwa JamesORCID,Addai Emmanuel,Oguntolu Festus Abiodun,Ayoola Tawakalt Abosede

Publisher

Springer Science and Business Media LLC

Subject

General Social Sciences,Statistics and Probability

Reference29 articles.

1. Abioye, A.I., Ibrahim, M.O., Peter, O.J., Ogunseye, H.A.: Optimal control on a mathematical model of malaria, Sci. Bull. A. Appl0 Math. Phy. 178–190 (2020)

2. Abioye, A.I., Peter, O.J., Ogunseye, H.A., Oguntolu, F.A., Ayoola, T.A., Oladapo, A.O.: A fractional-order mathematical model for malaria and Covid-19 co-infection dynamics. Healthcare Anal. 100210 (2023)

3. Abioye, A.I., Ibrahim, M.O., Peter, O.J., Amadiegwu, S., Oguntolu, F.A.: Differential transform method for solving mathematical model of SEIR and SEI spread of malaria. Int. J. Sci. Basic Appl. Res. (IJSBAR) 40(1), 197–219 (2018)

4. Addai, E., Adeniji, A., Peter, O.J., Agbaje, J.O., Oshinubi, K.: Dynamics of age-structure smoking models with government intervention coverage under fractal-fractional order derivatives. Fractal Fraction. 7(5), 370 (2023)

5. Atangana, A., Baleanu, D.: New fractional derivatives with nonlocal and non-singular kernel: theory and application to heat transfer model. arXiv preprint arXiv:1602.03408 (2016)

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