Effect of Vaccination to COVID-19 Disease Progression and Herd Immunity
Abstract: 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.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Effect of Vaccination to COVID-19 Disease Progression and Herd Immunity ; volume:9 ; number:1 ; year:2021 ; pages:262-272 ; extent:11
Computational and mathematical biophysics ; 9, Heft 1 (2021), 262-272 (gesamt 11)
- Creator
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Caga-anan, Randy L.
Raza, Michelle N.
Labrador, Grace Shelda G.
Metillo, Ephrime B.
Castillo, Pierre del
Mammeri, Youcef
- DOI
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10.1515/cmb-2020-0127
- URN
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urn:nbn:de:101:1-2410261650294.398586770113
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:21 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Caga-anan, Randy L.
- Raza, Michelle N.
- Labrador, Grace Shelda G.
- Metillo, Ephrime B.
- Castillo, Pierre del
- Mammeri, Youcef