DYNAMIC ANALYSIS OF THE COVID-19 MODEL WITH ISOLATION FACTORS

  • Atika Ratna Dewi Data Science Study Program, Faculty of Informatics, Institut Teknologi Telkom Purwokerto
  • Ridho Ananda Industrial Engineering Study Program, Faculty of Industrial Engineering and Design, Institut Teknologi Telkom Purwokerto
  • Utti Marina Rifanti Telecommunication Engineering Study Program, Faculty of Telecommunication and Electrical Engineering, Telkom Institute of Technology Purwokerto
DOI: https://doi.org/10.30598/barekengvol16iss1pp047-056
Keywords: covid-19, sir model, isolation, equilibrium point, basic reproduction ratio number

Abstract

Covid-19 is a type of infectious disease caused by SARS Cov-2. This virus has spread throughout the world to cause a pandemic. This study aimed to model and analyze the spread of Covid-19 with the isolation factor. The spread of Covid-19 can be made into an epidemic model by taking into account the population of susceptible humans (S), infected humans (I), isolated humans (L), and recovered humans (R). The method used in this research was to derive a non-linear system of differential equations model, complete the model qualitatively, find the primary reproduction ratio ( , see the model’s behavior by analyzing the dynamics of the equilibrium point and make model simulations. This model has a disease-free equilibrium point that is asymptotically stable, while at the equilibrium point, the endemic is unstable. The results of the model simulation and analysis of the  value indicate that the chance of successful Covid-19 spread and the isolation factor is a significant controlled parameter in reducing the value.

Downloads

Download data is not yet available.
Published
2022-03-21
How to Cite
[1]
A. Dewi, R. Ananda, and U. Rifanti, “DYNAMIC ANALYSIS OF THE COVID-19 MODEL WITH ISOLATION FACTORS”, BAREKENG: J. Math. & App., vol. 16, no. 1, pp. 047-056, Mar. 2022.
Issue
Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Section
Articles

Authors who publish with this Journal agree to the following terms:

  1. Author retain copyright and grant the journal right of first publication with the work simultaneously licensed under a creative commons attribution license that allow others to share the work within an acknowledgement of the work’s authorship and initial publication of this journal.
  2. Authors are able to enter into separate, additional contractual arrangement for the non-exclusive distribution of the journal’s published version of the work (e.g. acknowledgement of its initial publication in this journal).
  3. Authors are permitted and encouraged to post their work online (e.g. in institutional repositories or on their websites) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published works.