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Optimal vaccination and control strategies against dengue

Title data

Fischer, Anne ; Chudej, Kurt ; Pesch, Hans Josef:
Optimal vaccination and control strategies against dengue.
In: Mathematical Methods in the Applied Sciences. Vol. 42 (15 July 2019) Issue 10 . - pp. 3496-3507.
ISSN 1099-1476
DOI: https://doi.org/10.1002/mma.5594

Abstract in another language

This article focuses on the mathematical modelling of a disease outbreak of dengue fever. A cost-efficient fighting strategy, which simultaneously uses vaccination, application of insecticides to adult and aquatic mosquitoes, and an approach to decrease the number of man-made breeding places for the mosquitoes, is computed using optimal control. Vaccination includes a paediatric vaccination and an imperfect random mass vaccination with waning immunity.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: asian tiger mosquito; dengue; insecticide; non-linear programming; optimal control; vaccination
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 > Former Professors
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Lehrstuhl Wissenschaftliches Rechnen
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Former Professors > Chair Mathematics in Engineering Sciences - Univ.-Prof. Dr. Hans-Josef Pesch
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Lehrstuhl Wissenschaftliches Rechnen > CLehrstuhl Wissenschaftliches Rechnen - Univ.-Prof. Dr. Mario Bebendorf
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: 05 Jun 2019 06:34
Last Modified: 05 Jun 2019 06:34
URI: https://eref.uni-bayreuth.de/id/eprint/35531