A mathematical model for COVID-19 transmission dynamics in Bangladesh

M. Mohiuddin; Khalifa M. Helal; Farzana Alam; Oyelola A. Adegboye; Abdul Kuddus

A mathematical model for COVID-19 transmission dynamics in Bangladesh

M. Mohiuddin, Khalifa M. Helal, Farzana Alam, Oyelola A. Adegboye, Abdul Kuddus

Wellbeing and Preventable Chronic Disease

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Abstract

The novel Coronavirus disease-2019 (COVID-19) pandemic has caused unprecedented global devastation across various sectors. This study employs a five-compartmental deterministic mathematical model to analyse the transmission dynamics of this highly contagious disease in Bangladesh. To understand and control the system s dynamics in our model, we investigated the basic reproduction number, solution existence, equilibrium states stability analysis, sensitivity analysis, and behavioural dynamics of COVID-19 through numerical simulations. We also evaluated the influence of progression and recovery rates on the COVID-19 dynamics in Bangladesh. Further, the model identifies significant parameters from Bangladesh s COVID-19 data. The findings in this study aid in quantifying diverse parameters to assess the disease severity and formulate effective control strategies, thereby accelerating the containment of the virus spread in Bangladesh.

Original language	English
Pages (from-to)	93-113
Number of pages	21
Journal	Australasian Journal of Regional Studies
Volume	29
Issue number	1
Early online date	Jan 2023
Publication status	Published - 2023

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AU - Adegboye, Oyelola A.

AU - Kuddus, Abdul

PY - 2023

Y1 - 2023

N2 - The novel Coronavirus disease-2019 (COVID-19) pandemic has caused unprecedented global devastation across various sectors. This study employs a five-compartmental deterministic mathematical model to analyse the transmission dynamics of this highly contagious disease in Bangladesh. To understand and control the system s dynamics in our model, we investigated the basic reproduction number, solution existence, equilibrium states stability analysis, sensitivity analysis, and behavioural dynamics of COVID-19 through numerical simulations. We also evaluated the influence of progression and recovery rates on the COVID-19 dynamics in Bangladesh. Further, the model identifies significant parameters from Bangladesh s COVID-19 data. The findings in this study aid in quantifying diverse parameters to assess the disease severity and formulate effective control strategies, thereby accelerating the containment of the virus spread in Bangladesh.

AB - The novel Coronavirus disease-2019 (COVID-19) pandemic has caused unprecedented global devastation across various sectors. This study employs a five-compartmental deterministic mathematical model to analyse the transmission dynamics of this highly contagious disease in Bangladesh. To understand and control the system s dynamics in our model, we investigated the basic reproduction number, solution existence, equilibrium states stability analysis, sensitivity analysis, and behavioural dynamics of COVID-19 through numerical simulations. We also evaluated the influence of progression and recovery rates on the COVID-19 dynamics in Bangladesh. Further, the model identifies significant parameters from Bangladesh s COVID-19 data. The findings in this study aid in quantifying diverse parameters to assess the disease severity and formulate effective control strategies, thereby accelerating the containment of the virus spread in Bangladesh.

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KW - stability and sensitivity analysis

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A mathematical model for COVID-19 transmission dynamics in Bangladesh

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