https://doi.org/10.1140/epjs/s11734-023-00943-0
Regular Article
Transmission dynamics of a novel fractional model for the Marburg virus and recommended actions
1
Department of Mathematics and Statistics, Central University of Punjab, 151401, Bathinda, Punjab, India
2
Department of Mathematics and Sciences, Prince Sultan University, 11586, Riyadh, Saudi Arabia
3
Department of Medical Research, China Medical University, 40402, Taichung, Taiwan
4
Department of Mathematics and Applield Mathematics, Sefako Makgatho Health Sciences University, Molotlegi, 0204, Garankuwa, Medunsa, South Africa
5
Department of Mathematics, Cankaya University, Angara, Turkey
6
Institute of Space Sciences Magurele-Bucharest, Bucharest, Romania
7
Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon
Received:
4
February
2023
Accepted:
2
July
2023
Published online:
2
August
2023
Marburg virus disease is a particularly virulent illness that causes hemorrhagic fever and has a fatality rate of up to 88%. It belongs to the same family of pathogens as the Ebola virus. The disease was first identified in 1967 as a result of two significant epidemics that happened concurrently in Marburg, hence the name Marburg, Frankfurt, both in Germany, and Belgrade, Serbia. This work proposes a unique fractional model for the Marburg virus based on the Atangana–Baleanu derivative in the Caputo sense. For the model, two equilibrium states have been founded: endemic equilibrium and disease-free equilibrium. If 
, Castillo’s method and the next-generation matrix are used to demonstrate the disease-free equilibrium’s asymptotic global stability. When 
, the endemic equilibrium point is locally asymptotically stable, according to the linearization. The model’s basic reproduction rates for both humans and bats are calculated using the parameter values. Fixed point theory is used to demonstrate the solution’s existence and uniqueness. Number of infected bats should be controlled and interaction with just recovered individuals should be avoided as these are the main contributors in the infection rate. These recommended actions will make the infected persons in the humans disappear, as demonstrated by the model’s numerical simulations.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
