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
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
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
Caga-anan, Randy L.
Raza, Michelle N.
Labrador, Grace Shelda G.
Metillo, Ephrime B.
Castillo, Pierre del
Mammeri, Youcef

DOI
10.1515/cmb-2020-0127
URN
urn:nbn:de:101:1-2410261650294.398586770113
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:21 AM CEST

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Associated

  • Caga-anan, Randy L.
  • Raza, Michelle N.
  • Labrador, Grace Shelda G.
  • Metillo, Ephrime B.
  • Castillo, Pierre del
  • Mammeri, Youcef

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