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Fractional-view analysis of the transmission dynamics of a bacterial infection with nonlocal and nonsingular kernel

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dc.citedby1
dc.contributor.authorDegaichia H.en_US
dc.contributor.authorJan R.en_US
dc.contributor.authorRehman Z.U.en_US
dc.contributor.authorBoulaaras S.en_US
dc.contributor.authorJan A.en_US
dc.contributor.authorid56158307600en_US
dc.contributor.authorid57205596279en_US
dc.contributor.authorid58095489000en_US
dc.contributor.authorid36994353700en_US
dc.contributor.authorid57210164406en_US
dc.date.accessioned2024-10-14T03:17:20Z
dc.date.available2024-10-14T03:17:20Z
dc.date.issued2023
dc.description.abstractAn enormous cost is placed on people, communities, and healthcare systems by bacterial infections. Measures of the burden of bacterial infections include morbidity, mortality, economic expenditures, and overall effects on public health. Campylobacteriosis is a bacterial infection imposes a significant economic burden on both individuals and societies due to its prevalence, healthcare costs, and the associated loss of productivity. In our research, we develop a model to analyze the transmission of campylobacteriosis infection, taking into account factors such as vaccination and treatment. We also examine the fundamental characteristics of fractional calculus to understand the model better. The equilibria of the model are studied, and we calculate the reproduction parameter denoted as R . Furthermore, we provide proof of stability for the equilibria of the system. Lastly, we conduct numerical investigations to explore the variation of the system�s reproduction parameter with different input parameters. We have established the necessary conditions to ensure the existence and uniqueness of solutions for the proposed model of campylobacteriosis infection. To better understand the complex dynamics of campylobacteriosis infection, we conduct various simulations of the suggested model while modifying the input factors. These simulations allow us to investigate the effects of different input parameters on the dynamics of campylobacteriosis infection. We analyze the dynamic behavior of the system to develop efficient control strategies for managing the infection. Notable improvements have been observed by reducing the order of the fractional derivative. Based on our findings, we propose various factors to the policy makers in the community to mitigate the spread of campylobacteriosis infection. � 2023, The Author(s).en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo324
dc.identifier.doi10.1007/s42452-023-05538-x
dc.identifier.issue12
dc.identifier.scopus2-s2.0-85176497524
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85176497524&doi=10.1007%2fs42452-023-05538-x&partnerID=40&md5=4963901522a7a71483bd639e0925dcc2
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/33848
dc.identifier.volume5
dc.publisherSpringer Natureen_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.sourceScopus
dc.sourcetitleSN Applied Sciences
dc.subjectBacterial infection
dc.subjectCaputo�Fabrizio operator
dc.subjectDynamical behavior
dc.subjectEndemic indicator
dc.subjectFractional-calculus
dc.subjectMathematical model
dc.subjectDynamics
dc.subjectHealth care
dc.subjectMathematical operators
dc.subjectTransmissions
dc.subjectBacterial infections
dc.subjectCampylobacteriosis
dc.subjectCaputo�fabrizio operator
dc.subjectDynamical behaviors
dc.subjectEndemic indicator
dc.subjectFractional calculus
dc.subjectInput parameter
dc.subjectNonlocal
dc.subjectNonsingular
dc.subjectTransmission dynamics
dc.subjectCell proliferation
dc.titleFractional-view analysis of the transmission dynamics of a bacterial infection with nonlocal and nonsingular kernelen_US
dc.typeArticleen_US
dspace.entity.typePublication
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