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Mathematical Analysis of double-age structured model

dc.contributor.authorBELGHIT, Malak
dc.date.accessioned2025-10-25T08:05:52Z
dc.date.available2025-10-25T08:05:52Z
dc.date.issued2025-06
dc.description.abstractThis thesis highlights the importance of age-structured mathematical models in understanding the behavior of complex infectious diseases. The studied model illustrates how temporal factors such as biological age and incubation period affect the spread of infection, and demonstrates the possibility of controlling epidemic dynamics through effective intervention strategies. The results show that targeted vaccination can significantly reduce the spread of the disease, reinforcing the role of mathematical modeling in supporting scientifically based public health decisions.en_US
dc.description.provenanceSubmitted by fatiha User (fatiha.bio@gmail.com) on 2025-10-25T08:05:52Z No. of bitstreams: 1 Mathematical Analysis of double-age structured model.pdf: 935016 bytes, checksum: d2909b7ddba1a5a1b7c77620d1a5f312 (MD5)en
dc.description.provenanceMade available in DSpace on 2025-10-25T08:05:52Z (GMT). No. of bitstreams: 1 Mathematical Analysis of double-age structured model.pdf: 935016 bytes, checksum: d2909b7ddba1a5a1b7c77620d1a5f312 (MD5) Previous issue date: 2025-06en
dc.identifier.urihttp//localhost:8080/jspui/handle/123456789/13392
dc.language.isoenen_US
dc.publisherUniversity of Echahid Cheikh Larbi Tébessi -Tébessaen_US
dc.subjectAge-structure epidemic model; relapse; basic reproduction number; global stability; Lyapunov functional; optimal control; gateaux derivative.en_US
dc.titleMathematical Analysis of double-age structured modelen_US
dc.typeThesisen_US

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