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Numerical Simulation of a Four Serotype Dengue Fever Model

Title data

Folger, Gaby ; Chudej, Kurt:
Numerical Simulation of a Four Serotype Dengue Fever Model.
In: Ehrhardt, Matthias ; Günther, Michael (ed.): Progress in Industrial Mathematics at ECMI 2021 : selected and revised papers. - Cham : Springer , 2022 . - pp. 61-66 . - (Mathematics in Industry ; 39 )
ISBN 978-3-031-11817-3
DOI: https://doi.org/10.1007/978-3-031-11818-0_9

Abstract in another language

Dengue fever is a vector-borne virus infection of the tropics and subtropics. It is transmitted by Asian tiger mosquitos and comes with four serotypes. These mosquitos are currently (re-)invading Europe, established Asian tiger mosquito populations are already known e.g. in a few German cities. Dengue fever cases were imported into Germany in pre-covid times usually by airtravel, but some autochthonous cases in Europe are already known. We present numerical simulations and optimal control results of a new four serotype dengue fever model including an imperfect vaccination of seropositive humans.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: dengue fever; four serotypes; numerical simulation; optimal control
Institutions of the University: Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Scientific Computing
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Scientific Computing > Chair Scientific Computing - Univ.-Prof. Dr. Mario Bebendorf
Profile Fields
Profile Fields > Advanced Fields
Profile Fields > Advanced Fields > Nonlinear Dynamics
Research Institutions
Research Institutions > Research Centres
Research Institutions > Research Centres > Forschungszentrum für Modellbildung und Simulation (MODUS)
Result of work at the UBT: Yes
DDC Subjects: 500 Science
500 Science > 510 Mathematics
600 Technology, medicine, applied sciences
600 Technology, medicine, applied sciences > 610 Medicine and health
Date Deposited: 06 Feb 2023 08:16
Last Modified: 06 Feb 2023 08:16
URI: https://eref.uni-bayreuth.de/id/eprint/73008