Mathematical Analysis of a COVID-19 SEIQR Model with Time-Varying Transmission
Threshold conditions for a COVID-19 susceptible-exposed-infectious-treated-recovered (SEIQR) model with constant recruitment rate and time-varying transmission rate are studied. Results show that the condition R¯ < 1, with R¯ as the reproduction number of the average system, is sufficient but not...
Saved in:
| Main Authors: | , , |
|---|---|
| 格式: | text |
| 出版: |
Archīum Ateneo
2024
|
| 主題: | |
| 在線閱讀: | https://archium.ateneo.edu/mathematics-faculty-pubs/262 https://doi.org/10.1063/5.0192872 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 機構: | Ateneo De Manila University |
| id |
ph-ateneo-arc.mathematics-faculty-pubs-1263 |
|---|---|
| record_format |
eprints |
| spelling |
ph-ateneo-arc.mathematics-faculty-pubs-12632024-04-15T07:10:08Z Mathematical Analysis of a COVID-19 SEIQR Model with Time-Varying Transmission Lutero, Destiny S. Teng, Timothy Robin Tolentino, Mark Anthony C Threshold conditions for a COVID-19 susceptible-exposed-infectious-treated-recovered (SEIQR) model with constant recruitment rate and time-varying transmission rate are studied. Results show that the condition R¯ < 1, with R¯ as the reproduction number of the average system, is sufficient but not necessary to establish the local asymptotic stability of the disease-free equilibrium of the system (SEIQR). Furthermore, as long as R¯ < 1, the disease is eradicated regardless of the number of infectious agents at the beginning. 2024-01-24T08:00:00Z text https://archium.ateneo.edu/mathematics-faculty-pubs/262 https://doi.org/10.1063/5.0192872 Mathematics Faculty Publications Archīum Ateneo Mathematics Physical Sciences and Mathematics |
| institution |
Ateneo De Manila University |
| building |
Ateneo De Manila University Library |
| continent |
Asia |
| country |
Philippines Philippines |
| content_provider |
Ateneo De Manila University Library |
| collection |
archium.Ateneo Institutional Repository |
| topic |
Mathematics Physical Sciences and Mathematics |
| spellingShingle |
Mathematics Physical Sciences and Mathematics Lutero, Destiny S. Teng, Timothy Robin Tolentino, Mark Anthony C Mathematical Analysis of a COVID-19 SEIQR Model with Time-Varying Transmission |
| description |
Threshold conditions for a COVID-19 susceptible-exposed-infectious-treated-recovered (SEIQR) model with constant recruitment rate and time-varying transmission rate are studied. Results show that the condition R¯ < 1, with R¯ as the reproduction number of the average system, is sufficient but not necessary to establish the local asymptotic stability of the disease-free equilibrium of the system (SEIQR). Furthermore, as long as R¯ < 1, the disease is eradicated regardless of the number of infectious agents at the beginning. |
| format |
text |
| author |
Lutero, Destiny S. Teng, Timothy Robin Tolentino, Mark Anthony C |
| author_facet |
Lutero, Destiny S. Teng, Timothy Robin Tolentino, Mark Anthony C |
| author_sort |
Lutero, Destiny S. |
| title |
Mathematical Analysis of a COVID-19 SEIQR Model with Time-Varying Transmission |
| title_short |
Mathematical Analysis of a COVID-19 SEIQR Model with Time-Varying Transmission |
| title_full |
Mathematical Analysis of a COVID-19 SEIQR Model with Time-Varying Transmission |
| title_fullStr |
Mathematical Analysis of a COVID-19 SEIQR Model with Time-Varying Transmission |
| title_full_unstemmed |
Mathematical Analysis of a COVID-19 SEIQR Model with Time-Varying Transmission |
| title_sort |
mathematical analysis of a covid-19 seiqr model with time-varying transmission |
| publisher |
Archīum Ateneo |
| publishDate |
2024 |
| url |
https://archium.ateneo.edu/mathematics-faculty-pubs/262 https://doi.org/10.1063/5.0192872 |
| _version_ |
1797546535653736448 |