Model the transmission dynamics of COVID-19 propagation with public health intervention
In this work, a researcher develops SHEIQRD(Susceptible–Stay-at-home–Exposed-Infected–Quarantine–Recovery–Death) coronavirus pandemic, spread model. The disease-free and endemic equilibrium points are computed and analyzed. The basic reproduction number R0is acquired, and its sensitivity analysis co...
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doaj-996b4ae9d30448ee8b2469e079744c372020-11-25T04:02:37ZengElsevierResults in Applied Mathematics2590-03742020-08-017100123Model the transmission dynamics of COVID-19 propagation with public health interventionDejen Ketema Mamo0Department of Mathematics, Collage of Natural and Computational Sciences, Debre Berhan University, Debre Berhan, EthiopiaIn this work, a researcher develops SHEIQRD(Susceptible–Stay-at-home–Exposed-Infected–Quarantine–Recovery–Death) coronavirus pandemic, spread model. The disease-free and endemic equilibrium points are computed and analyzed. The basic reproduction number R0is acquired, and its sensitivity analysis conducted. COVID-19 pandemic spread dies out when R0≤1and persists in the community whenever R0>1. Efficient stay-at-home rate, high coverage of precise identification and isolation of exposed and infected individuals, reduction of transmission, and stay-at-home return rate can mitigate COVID-19 pandemic. Finally, theoretical analysis and numerical results are shown to be consistent.http://www.sciencedirect.com/science/article/pii/S2590037420300339Coronavirus diseaseStay at homeIsolationTheoretical analysisNumerical simulation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dejen Ketema Mamo |
spellingShingle |
Dejen Ketema Mamo Model the transmission dynamics of COVID-19 propagation with public health intervention Results in Applied Mathematics Coronavirus disease Stay at home Isolation Theoretical analysis Numerical simulation |
author_facet |
Dejen Ketema Mamo |
author_sort |
Dejen Ketema Mamo |
title |
Model the transmission dynamics of COVID-19 propagation with public health intervention |
title_short |
Model the transmission dynamics of COVID-19 propagation with public health intervention |
title_full |
Model the transmission dynamics of COVID-19 propagation with public health intervention |
title_fullStr |
Model the transmission dynamics of COVID-19 propagation with public health intervention |
title_full_unstemmed |
Model the transmission dynamics of COVID-19 propagation with public health intervention |
title_sort |
model the transmission dynamics of covid-19 propagation with public health intervention |
publisher |
Elsevier |
series |
Results in Applied Mathematics |
issn |
2590-0374 |
publishDate |
2020-08-01 |
description |
In this work, a researcher develops SHEIQRD(Susceptible–Stay-at-home–Exposed-Infected–Quarantine–Recovery–Death) coronavirus pandemic, spread model. The disease-free and endemic equilibrium points are computed and analyzed. The basic reproduction number R0is acquired, and its sensitivity analysis conducted. COVID-19 pandemic spread dies out when R0≤1and persists in the community whenever R0>1. Efficient stay-at-home rate, high coverage of precise identification and isolation of exposed and infected individuals, reduction of transmission, and stay-at-home return rate can mitigate COVID-19 pandemic. Finally, theoretical analysis and numerical results are shown to be consistent. |
topic |
Coronavirus disease Stay at home Isolation Theoretical analysis Numerical simulation |
url |
http://www.sciencedirect.com/science/article/pii/S2590037420300339 |
work_keys_str_mv |
AT dejenketemamamo modelthetransmissiondynamicsofcovid19propagationwithpublichealthintervention |
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1724442877197549568 |