A COVID-19 epidemic model with periodicity in transmission and environmental dynamics

Belthasara Assan, Farai Nyabadza

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

From the beginning of the outbreak of SARS-CoV-2 (COVID-19), South African data depicted seasonal transmission patterns, with infections rising in summer and winter every year. Seasonality, control measures, and the role of the environment are the most important factors in periodic epidemics. In this study, a deterministic model incorporating the influences of seasonality, vaccination, and the role of the environment is formulated to determine how these factors impact the epidemic. We analyzed the stability of the model, demonstrating that when R0 < 1, the disease-free equilibrium is globally symptomatically stable, whereas R0 > 1 indicates that the disease uniformly persists and at least one positive periodic solution exists. We demonstrate its application by using the data reported by the National Institute for Communicable Diseases. We fitted our mathematical model to the data from the third wave to the fifth wave and used a damping effect due to mandatory vaccination in the fifth wave. Our analytical and numerical results indicate that different efficacies for vaccination have a different influence on epidemic transmission at different seasonal periods. Our findings also indicate that as long as the coronavirus persists in the environment, the epidemic will continue to affect the human population and disease control should be geared toward the environment.

Original languageEnglish
Article number1142625
JournalFrontiers in Applied Mathematics and Statistics
Volume9
DOIs
Publication statusPublished - 2023

Keywords

  • basic reproduction number
  • parameter estimation
  • periodic transmission rate
  • stability analysis
  • vaccination

ASJC Scopus subject areas

  • Statistics and Probability
  • Applied Mathematics

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