Modeling the Impact of Vaccination on COVID-19 and Its Delta and Omicron Variants

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

13 Scopus Citations
View graph of relations

Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number1482
Journal / PublicationViruses
Volume14
Issue number7
Online published6 Jul 2022
Publication statusPublished - Jul 2022

Link(s)

Abstract

Vaccination is an important means to fight against the spread of the SARS-CoV-2 virus and its variants. In this work, we propose a general susceptible-vaccinated-exposed-infected-hospitalized-removed (SVEIHR) model and derive its basic and effective reproduction numbers. We set Hong Kong as an example and calculate conditions of herd immunity for multiple vaccines and disease variants. The model shows how the number of confirmed COVID-19 cases in Hong Kong during the second and third waves of the COVID-19 pandemic would have been reduced if vaccination were available then. We then investigate the relationships between various model parameters and the cumulative number of hospitalized COVID-19 cases in Hong Kong for the ancestral, Delta, and Omicron strains. Numerical results demonstrate that the static herd immunity threshold corresponds to one percent of the population requiring hospitalization or isolation at some point in time. We also demonstrate that when the vaccination rate is high, the initial proportion of vaccinated individuals can be lowered while still maintaining the same proportion of cumulative hospitalized/isolated individuals.

Research Area(s)

  • compartmental model, COVID-19, Delta variant, Omicron variant, SVEIHR model, vaccination

Citation Format(s)

Modeling the Impact of Vaccination on COVID-19 and Its Delta and Omicron Variants. / Wang, Jianbo; Chan, Yin-Chi; Niu, Ruiwu et al.
In: Viruses, Vol. 14, No. 7, 1482, 07.2022.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

Download Statistics

No data available