Spreading analysis of covid-19 epidemic in Bangladesh by dynamical mathematical modelling

The coronavirus disease 2019 (COVID-19), which emerged from Wuhan, China, is now a pandemic, affecting across the globe. Bangladesh also is experiencing the rapid growth of COVID-19 infection and death cases started from 8th March 2020. The purpose of providing a simple yet effective explanatory...

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Main Authors: Fargana, A, Rahat, Arifutzzaman, Rakhimov, Abdumalik
Format: Article
Language:English
Published: Bastas Publications LTD 2021
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Online Access:http://irep.iium.edu.my/82971/7/82971_SpreadingAnalysis%20ofCOVID-19%20Epidemic_article.pdf
http://irep.iium.edu.my/82971/
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https://doi.org/10.30935/ejmets/10959
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
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spelling my.iium.irep.829712021-10-06T03:59:45Z http://irep.iium.edu.my/82971/ Spreading analysis of covid-19 epidemic in Bangladesh by dynamical mathematical modelling Fargana, A Rahat, Arifutzzaman Rakhimov, Abdumalik QA Mathematics RA644.C67 Coronavirus infections. COVID-19 (Disease). COVID-19 Pandemic, 2020 T Technology (General) The coronavirus disease 2019 (COVID-19), which emerged from Wuhan, China, is now a pandemic, affecting across the globe. Bangladesh also is experiencing the rapid growth of COVID-19 infection and death cases started from 8th March 2020. The purpose of providing a simple yet effective explanatory model for prediction of the future evolution of the contagion and verification of the effectiveness of the containment and lockdown measures in Bangladesh. In this study, using a modified SIR (Susceptible-Infected-Recovered) model a forecast is generated to predict the trends of COVID-19 cases in Bangladesh. The epidemic model was proposed to accommodate the effects of lockdown and individual based precautionary measures. Data has been taken and analyzed for before and after the movement control order (MCO) and during the MCO period. Modified SIR model in this work offers us an idea how the outbreak would progress based on the current data. It also has estimated that, the peak in terms of the number of infected cases will start from last of June 2020. For the total population (100%) the model gets the peaks at 214875 (infected cases) and 7743 (death cases). For the 90% population, the model shows the peaks at 244356 (infected cases) and 9100 (death cases). Analysis revealed that the lockdown and recommended individual hygiene can slow down the outbreak but unable to eradicate the disease from the society. With the current infection and death rate and existing level of personal precautionary the number of infected individuals will be increasing. Bastas Publications LTD 2021 Article PeerReviewed application/pdf en http://irep.iium.edu.my/82971/7/82971_SpreadingAnalysis%20ofCOVID-19%20Epidemic_article.pdf Fargana, A and Rahat, Arifutzzaman and Rakhimov, Abdumalik (2021) Spreading analysis of covid-19 epidemic in Bangladesh by dynamical mathematical modelling. European Journal of Medical and Educational Technologies, 14 (3). pp. 1-9. E-ISSN 2732-4109 https://www.ejmets.com/download/spreading-analysis-of-covid-19-epidemic-in-bangladesh-by-dynamical-mathematical-modelling-10959.pdf https://doi.org/10.30935/ejmets/10959
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic QA Mathematics
RA644.C67 Coronavirus infections. COVID-19 (Disease). COVID-19 Pandemic, 2020
T Technology (General)
spellingShingle QA Mathematics
RA644.C67 Coronavirus infections. COVID-19 (Disease). COVID-19 Pandemic, 2020
T Technology (General)
Fargana, A
Rahat, Arifutzzaman
Rakhimov, Abdumalik
Spreading analysis of covid-19 epidemic in Bangladesh by dynamical mathematical modelling
description The coronavirus disease 2019 (COVID-19), which emerged from Wuhan, China, is now a pandemic, affecting across the globe. Bangladesh also is experiencing the rapid growth of COVID-19 infection and death cases started from 8th March 2020. The purpose of providing a simple yet effective explanatory model for prediction of the future evolution of the contagion and verification of the effectiveness of the containment and lockdown measures in Bangladesh. In this study, using a modified SIR (Susceptible-Infected-Recovered) model a forecast is generated to predict the trends of COVID-19 cases in Bangladesh. The epidemic model was proposed to accommodate the effects of lockdown and individual based precautionary measures. Data has been taken and analyzed for before and after the movement control order (MCO) and during the MCO period. Modified SIR model in this work offers us an idea how the outbreak would progress based on the current data. It also has estimated that, the peak in terms of the number of infected cases will start from last of June 2020. For the total population (100%) the model gets the peaks at 214875 (infected cases) and 7743 (death cases). For the 90% population, the model shows the peaks at 244356 (infected cases) and 9100 (death cases). Analysis revealed that the lockdown and recommended individual hygiene can slow down the outbreak but unable to eradicate the disease from the society. With the current infection and death rate and existing level of personal precautionary the number of infected individuals will be increasing.
format Article
author Fargana, A
Rahat, Arifutzzaman
Rakhimov, Abdumalik
author_facet Fargana, A
Rahat, Arifutzzaman
Rakhimov, Abdumalik
author_sort Fargana, A
title Spreading analysis of covid-19 epidemic in Bangladesh by dynamical mathematical modelling
title_short Spreading analysis of covid-19 epidemic in Bangladesh by dynamical mathematical modelling
title_full Spreading analysis of covid-19 epidemic in Bangladesh by dynamical mathematical modelling
title_fullStr Spreading analysis of covid-19 epidemic in Bangladesh by dynamical mathematical modelling
title_full_unstemmed Spreading analysis of covid-19 epidemic in Bangladesh by dynamical mathematical modelling
title_sort spreading analysis of covid-19 epidemic in bangladesh by dynamical mathematical modelling
publisher Bastas Publications LTD
publishDate 2021
url http://irep.iium.edu.my/82971/7/82971_SpreadingAnalysis%20ofCOVID-19%20Epidemic_article.pdf
http://irep.iium.edu.my/82971/
https://www.ejmets.com/download/spreading-analysis-of-covid-19-epidemic-in-bangladesh-by-dynamical-mathematical-modelling-10959.pdf
https://doi.org/10.30935/ejmets/10959
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