DYNAMIC ANALYSIS OF THE COVID-19 MODEL WITH ISOLATION FACTORS
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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Pattimura
2022-03-01
|
| Series: | Barekeng |
| Subjects: | |
| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/4123 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849402229255045120 |
|---|---|
| author | Atika Ratna Dewi Ridho Ananda Utti Marina Rifanti |
| author_facet | Atika Ratna Dewi Ridho Ananda Utti Marina Rifanti |
| author_sort | Atika Ratna Dewi |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a0d6c7305b8e44189f0098cf7bb435fb |
| institution | Kabale University |
| issn | 1978-7227 2615-3017 |
| language | English |
| publishDate | 2022-03-01 |
| publisher | Universitas Pattimura |
| record_format | Article |
| series | Barekeng |
| spelling | doaj-art-a0d6c7305b8e44189f0098cf7bb435fb2025-08-20T03:37:36ZengUniversitas PattimuraBarekeng1978-72272615-30172022-03-0116104705610.30598/barekengvol16iss1pp047-0564123DYNAMIC ANALYSIS OF THE COVID-19 MODEL WITH ISOLATION FACTORSAtika Ratna Dewi0Ridho Ananda1Utti Marina Rifanti2Data Science Study Program, Faculty of Informatics, Institut Teknologi Telkom PurwokertoIndustrial Engineering Study Program, Faculty of Industrial Engineering and Design, Institut Teknologi Telkom PurwokertoTelecommunication Engineering Study Program, Faculty of Telecommunication and Electrical Engineering, Telkom Institute of Technology PurwokertoCovid-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.https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/4123covid-19sir modelisolationequilibrium pointbasic reproduction ratio number |
| spellingShingle | Atika Ratna Dewi Ridho Ananda Utti Marina Rifanti DYNAMIC ANALYSIS OF THE COVID-19 MODEL WITH ISOLATION FACTORS Barekeng covid-19 sir model isolation equilibrium point basic reproduction ratio number |
| title | DYNAMIC ANALYSIS OF THE COVID-19 MODEL WITH ISOLATION FACTORS |
| title_full | DYNAMIC ANALYSIS OF THE COVID-19 MODEL WITH ISOLATION FACTORS |
| title_fullStr | DYNAMIC ANALYSIS OF THE COVID-19 MODEL WITH ISOLATION FACTORS |
| title_full_unstemmed | DYNAMIC ANALYSIS OF THE COVID-19 MODEL WITH ISOLATION FACTORS |
| title_short | DYNAMIC ANALYSIS OF THE COVID-19 MODEL WITH ISOLATION FACTORS |
| title_sort | dynamic analysis of the covid 19 model with isolation factors |
| topic | covid-19 sir model isolation equilibrium point basic reproduction ratio number |
| url | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/4123 |
| work_keys_str_mv | AT atikaratnadewi dynamicanalysisofthecovid19modelwithisolationfactors AT ridhoananda dynamicanalysisofthecovid19modelwithisolationfactors AT uttimarinarifanti dynamicanalysisofthecovid19modelwithisolationfactors |