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THE IMPORTANCE OF PROVEN TREATMENT AS A VACCINE MODEL FOR COVID-19

  • Byul Nim Kim
  • , Wasim Abbas
  • , Hwa Kil Kim
  • , Gang Joon Yoon
  • , Hye Bin Kim
  • , Yongkuk Kim
  • , Sangil Kim
  • Pusan National University
  • Kyung Hee University
  • Hannam University
  • National Institute of Mathematical Sciences
  • Kyungpook National University

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The COVID-19 global pandemic has posed the biggest medical challenge of the past three years, and efforts to eradicate it have involved cross-border collaborations. Recent studies claim that the development and distribution of vaccines is an effective approach to end this infectious disease. However, this study demonstrates that a vaccine alone may not be enough due to differences in the rates of waning immunity induced by infection and vaccination. We propose that both vaccination and treatment are required to halt COVID-19 disease transmission and end the pandemic. From an epidemiological perspective, we employ the SVEIRS model by introducing vaccination and treatment into the compartmental epidemic model SIR. The experimental results suggest that the pandemic can be ended by performing both vaccination and treatment. However, the development and distribution of vaccines and treatments take time, and control measures must continue until the disease is completely eradicated.

Original languageEnglish
Pages (from-to)504-519
Number of pages16
JournalApplied and Computational Mathematics
Volume23
Issue number4
DOIs
StatePublished - 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • COVID-19
  • Mathematical Model
  • Treatment
  • Vaccine

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