Work

A fractional-order model of COVID-19 and Malaria co-infection

Year: 2024

Type: article

Abstract: This paper explores the co-infection dynamics of coronavirus disease 2019 (COVID-19) and Malaria using Caputo-type fractional derivative to further understand the disease interactions and implement effective control strategies. We demonstrate the positivity and boundedness of the solution through Laplace transform techniques and establish the existence and uniqueness of the solution, showcasing model stability using fractional-order stability theory. Simulation experiments across varying fractional orders and disease classes offer insights into the co-infection dynamics. This is a new model and the findings underscore the potential impact of control measures on mitigating co-infection under endemic conditions. We conclude that infection with malaria does not guarantee immunity to COVID-19 and infection with COVID-19 as well does not guarantee immunity to malaria.

Source: Bulletin of Biomathematics

DOI: 10.59292/bulletinbiomath.2024006

Authors: Livinus Loko Iwa, Andrew Omame, Simeon Chioma Inyama

Institutions: Federal University of Technology Owerri, Government College University, Lahore

Language: English

Topic: Mathematical and Theoretical Epidemiology and Ecology Models

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4404082144

FWCI: 2.631

Cites:

Cited by: 7

Related to: 10