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A fractional perspective on the transmission dynamics of a parasitic infection, considering the impact of both strong and weak immunity

dc.citedby2
dc.contributor.authorTang T.-Q.en_US
dc.contributor.authorJan R.en_US
dc.contributor.authorShah Z.en_US
dc.contributor.authorVrinceanu N.en_US
dc.contributor.authorTanasescu C.en_US
dc.contributor.authorJan A.en_US
dc.contributor.authorid57191995128en_US
dc.contributor.authorid57205596279en_US
dc.contributor.authorid57194441902en_US
dc.contributor.authorid26434973300en_US
dc.contributor.authorid55917656400en_US
dc.contributor.authorid57210164406en_US
dc.date.accessioned2025-03-03T07:43:37Z
dc.date.available2025-03-03T07:43:37Z
dc.date.issued2024
dc.description.abstractInfectious disease cryptosporidiosis is caused by the cryptosporidium parasite, a type of parasitic organism. It is spread through the ingestion of contaminated water, food, or fecal matter from infected animals or humans. The control becomes difficult because the parasite may remain in the environment for a long period. In this work, we constructed an epidemic model for the infection of cryptosporidiosis in a fractional framework with strong and weak immunity concepts. In our analysis, we utilize the well-known next-generation matrix technique to evaluate the reproduction number of the recommended model, indicated by R0. As R0 < 1, our results show that the disease-free steady-state is locally asymptotically stable; in other cases, it becomes unstable. Our emphasis is on the dynamical behavior and the qualitative analysis of cryptosporidiosis. Moreover, the fixed point theorem of Schaefer and Banach has been utilized to investigate the existence and uniqueness of the solution. We identify suitable conditions for the Ulam-Hyers stability of the proposed model of the parasitic infection. The impact of the determinants on the sickness caused by cryptosporidiosis is highlighted by the examination of the solution pathways using a novel numerical technique. Numerical investigation is conducted on the solution pathways of the system while varying various input factors. Policymakers and health officials are informed of the crucial factors pertaining to the infection system to aid in its control. Copyright: ? 2024 Tang et al.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNoe0297967
dc.identifier.doi10.1371/journal.pone.0297967
dc.identifier.issue4-Apr
dc.identifier.scopus2-s2.0-85191299778
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85191299778&doi=10.1371%2fjournal.pone.0297967&partnerID=40&md5=99d832d4cb65463bb24a813de52c9b56
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36647
dc.identifier.volume19
dc.publisherPublic Library of Scienceen_US
dc.sourceScopus
dc.sourcetitlePLoS ONE
dc.subjectAnimals
dc.subjectCryptosporidiosis
dc.subjectCryptosporidium
dc.subjectHumans
dc.subjectArticle
dc.subjectbasic reproduction number
dc.subjectblood brain barrier
dc.subjectcryptosporidiosis
dc.subjectCryptosporidium
dc.subjectdisease transmission
dc.subjectdynamics
dc.subjectepidemiological model
dc.subjecthuman
dc.subjectimmunity
dc.subjectincidence
dc.subjectingestion
dc.subjectmathematical model
dc.subjectnonhuman
dc.subjectparasitosis
dc.subjectqualitative analysis
dc.subjectsteady state
dc.subjectanimal
dc.subjectcryptosporidiosis
dc.subjectimmunology
dc.titleA fractional perspective on the transmission dynamics of a parasitic infection, considering the impact of both strong and weak immunityen_US
dc.typeArticleen_US
dspace.entity.typePublication
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