Analisis Kestabilan dan Kontrol Optimal Model Matematika Penyebaran Penyakit Ebola dengan Penanganan Medis

Sofita Suherman, .- and Fatmawati, .- and Cicik Alfiniyah, .- (2019) Analisis Kestabilan dan Kontrol Optimal Model Matematika Penyebaran Penyakit Ebola dengan Penanganan Medis. Contemporary Mathematics and Applications, 1 (1). pp. 19-33. ISSN 2686-5564

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Official URL: https://e-journal.unair.ac.id/CONMATHA/article/vie...

Abstract

Ebola disease is one of an infectious disease caused by a virus. Ebola disease can be transmitted through direct contact with Ebola’s patient, infected medical equipment, and contact with the deceased individual. The purpose of this paper is to analyze the stability of equilibriums and to apply the optimal control of treatment on the mathematical model of the spread of Ebola with medical treatment. Model without control has two equilibria, namely non-endemic equilibrium (E0) and endemic equilibrium (E1) The existence of endemic equilibrium and local stability depends on the basic reproduction number (R0). The non-endemic equilibrium is locally asymptotically stable if R0 < 1 and endemic equilibrium tend to asymptotically stable if R0 >1 . The problem of optimal control is then solved by Pontryagin’s Maximum Principle. From the numerical simulation result, it is found that the control is effective to minimize the number of the infected human population and the number of the infected human with medical treatment population compare without control.

Item Type: Article
Uncontrolled Keywords: mathematical model; Ebola disease; medical treatment; stability; optimal control.
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Q Science > QA Mathematics > QA370-387 Differential Equations
Divisions: 08. Fakultas Sains dan Teknologi > Matematika
Creators:
CreatorsNIM
Sofita Suherman, .-UNSPECIFIED
Fatmawati, .-UNSPECIFIED
Cicik Alfiniyah, .-UNSPECIFIED
Depositing User: Mr Vega Andi Budiman
Date Deposited: 24 Mar 2022 02:30
Last Modified: 24 Mar 2022 02:30
URI: http://repository.unair.ac.id/id/eprint/114295
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