| Autor: |
Caga-anan Randy L., Raza Michelle N., Labrador Grace Shelda G., Metillo Ephrime B., Castillo Pierre del, Mammeri Youcef |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Computational and Mathematical Biophysics, Vol 9, Iss 1, Pp 262-272 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2544-7297 |
| DOI: |
10.1515/cmb-2020-0127 |
| Popis: |
A mathematical model of COVID-19 with a delay-term for the vaccinated compartment is developed. It has parameters accounting for vaccine-induced immunity delay, vaccine effectiveness, vaccination rate, and vaccine-induced immunity duration. The model parameters before vaccination are calibrated with the Philippines’ confirmed cases. Simulations show that vaccination has a significant effect in reducing future infections, with the vaccination rate being the dominant determining factor of the level of reduction. Moreover, depending on the vaccination rate and the vaccine-induced immunity duration, the system could reach a disease-free state but could not attain herd immunity. Simulations are also done to compare the effects of the various available vaccines. Results show that Pfizer-BioNTech has the most promising effect while Sinovac has the worst result relative to the others. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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