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Model Development and Prediction of Covid-19 Pandemic in Bangladesh with Nonlinear Incident.

Abdul MalekAshabul Hoque
Published in: Iranian journal of science and technology. Transaction A, Science (2023)
We introduce a SEIRD compartmental model to analyze the dynamics of the pandemic in Bangladesh. The multi-wave patterns of the new infective in Bangladesh from the day of the official confirmation to August 15, 2021, are simulated in the proposed SEIRD model. To solve the model equations numerically, we use the RK-45 method. Primarily, we establish some theorems including local and global stability for the proposed model. The analysis shows that the death curve simulated by the model provides a very good agreement with the officially confirmed death data for the Covid-19 pandemic in Bangladesh. Furthermore, the proposed model estimates the duration and peaks of Covid-19 in Bangladesh which are compared with the real data.
Keyphrases
  • coronavirus disease
  • cardiovascular disease
  • machine learning
  • big data