Modelling the Transmission Dynamics of COVID-19 in Six High-Burden Countries

The new Coronavirus Disease 19, officially known as COVID-19, originated in China in 2019 and has since spread worldwide. We presented an age-structured Susceptible-Latent-Mild-Critical-Removed (SLMCR) compartmental model of COVID-19 disease transmission with nonlinear incidence during the pandemic...

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Main Authors: Azizur Rahman, Md Abdul Kuddus
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2021/5089184
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spelling doaj-afad9ff498c44c1884e0701164f1fb092021-06-14T00:17:13ZengHindawi LimitedBioMed Research International2314-61412021-01-01202110.1155/2021/5089184Modelling the Transmission Dynamics of COVID-19 in Six High-Burden CountriesAzizur Rahman0Md Abdul Kuddus1Data Science Research UnitAustralian Institute of Tropical Health and MedicineThe new Coronavirus Disease 19, officially known as COVID-19, originated in China in 2019 and has since spread worldwide. We presented an age-structured Susceptible-Latent-Mild-Critical-Removed (SLMCR) compartmental model of COVID-19 disease transmission with nonlinear incidence during the pandemic period. We provided the model calibration to estimate parameters with day-wise COVID-19 data, i.e., reported cases by worldometer from 15th February to 30th March 2020 in six high-burden countries, including Australia, Italy, Spain, the USA, the UK, and Canada. We estimate transmission rates for each country and found that the country with the highest transmission rate is Spain, which may increase the new cases and deaths than the other countries. We found that saturation infection negatively impacted the dynamics of COVID-19 cases in all the six high-burden countries. The study used a sensitivity analysis to identify the most critical parameters through the partial rank correlation coefficient method. We found that the transmission rate of COVID-19 had the most significant influence on prevalence. The prediction of new cases in COVID-19 until 30th April 2020 using the developed model was also provided with recommendations to control strategies of COVID-19. We also found that adults are more susceptible to infection than both children and older people in all six countries. However, in Italy, Spain, the UK, and Canada, older people show more susceptibility to infection than children, opposite to the case in Australia and the USA. The information generated from this study would be helpful to the decision-makers of various organisations across the world, including the Ministry of Health in Australia, Italy, Spain, the USA, the UK, and Canada, to control COVID-19.http://dx.doi.org/10.1155/2021/5089184
collection DOAJ
language English
format Article
sources DOAJ
author Azizur Rahman
Md Abdul Kuddus
spellingShingle Azizur Rahman
Md Abdul Kuddus
Modelling the Transmission Dynamics of COVID-19 in Six High-Burden Countries
BioMed Research International
author_facet Azizur Rahman
Md Abdul Kuddus
author_sort Azizur Rahman
title Modelling the Transmission Dynamics of COVID-19 in Six High-Burden Countries
title_short Modelling the Transmission Dynamics of COVID-19 in Six High-Burden Countries
title_full Modelling the Transmission Dynamics of COVID-19 in Six High-Burden Countries
title_fullStr Modelling the Transmission Dynamics of COVID-19 in Six High-Burden Countries
title_full_unstemmed Modelling the Transmission Dynamics of COVID-19 in Six High-Burden Countries
title_sort modelling the transmission dynamics of covid-19 in six high-burden countries
publisher Hindawi Limited
series BioMed Research International
issn 2314-6141
publishDate 2021-01-01
description The new Coronavirus Disease 19, officially known as COVID-19, originated in China in 2019 and has since spread worldwide. We presented an age-structured Susceptible-Latent-Mild-Critical-Removed (SLMCR) compartmental model of COVID-19 disease transmission with nonlinear incidence during the pandemic period. We provided the model calibration to estimate parameters with day-wise COVID-19 data, i.e., reported cases by worldometer from 15th February to 30th March 2020 in six high-burden countries, including Australia, Italy, Spain, the USA, the UK, and Canada. We estimate transmission rates for each country and found that the country with the highest transmission rate is Spain, which may increase the new cases and deaths than the other countries. We found that saturation infection negatively impacted the dynamics of COVID-19 cases in all the six high-burden countries. The study used a sensitivity analysis to identify the most critical parameters through the partial rank correlation coefficient method. We found that the transmission rate of COVID-19 had the most significant influence on prevalence. The prediction of new cases in COVID-19 until 30th April 2020 using the developed model was also provided with recommendations to control strategies of COVID-19. We also found that adults are more susceptible to infection than both children and older people in all six countries. However, in Italy, Spain, the UK, and Canada, older people show more susceptibility to infection than children, opposite to the case in Australia and the USA. The information generated from this study would be helpful to the decision-makers of various organisations across the world, including the Ministry of Health in Australia, Italy, Spain, the USA, the UK, and Canada, to control COVID-19.
url http://dx.doi.org/10.1155/2021/5089184
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