A novel hybrid SEIQR model incorporating the effect of quarantine and lockdown regulations for COVID-19
Abstract Mitigating the devastating effect of COVID-19 is necessary to control the infectivity and mortality rates. Hence, several strategies such as quarantine of exposed and infected individuals and restricting movement through lockdown of geographical regions have been implemented in most countri...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-12-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-03436-z |
| _version_ | 1819096226881077248 |
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| author | R. Prabakaran Sherlyn Jemimah Puneet Rawat Divya Sharma M. Michael Gromiha |
| author_facet | R. Prabakaran Sherlyn Jemimah Puneet Rawat Divya Sharma M. Michael Gromiha |
| author_sort | R. Prabakaran |
| collection | DOAJ |
| description | Abstract Mitigating the devastating effect of COVID-19 is necessary to control the infectivity and mortality rates. Hence, several strategies such as quarantine of exposed and infected individuals and restricting movement through lockdown of geographical regions have been implemented in most countries. On the other hand, standard SEIR based mathematical models have been developed to understand the disease dynamics of COVID-19, and the proper inclusion of these restrictions is the rate-limiting step for the success of these models. In this work, we have developed a hybrid Susceptible-Exposed-Infected-Quarantined-Removed (SEIQR) model to explore the influence of quarantine and lockdown on disease propagation dynamics. The model is multi-compartmental, and it considers everyday variations in lockdown regulations, testing rate and quarantine individuals. Our model predicts a considerable difference in reported and actual recovered and deceased cases in qualitative agreement with recent reports. |
| first_indexed | 2024-12-21T23:55:50Z |
| format | Article |
| id | doaj.art-9491c200cd9e4f0f893a124528e7388e |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-21T23:55:50Z |
| publishDate | 2021-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-9491c200cd9e4f0f893a124528e7388e2022-12-21T18:45:49ZengNature PortfolioScientific Reports2045-23222021-12-011111910.1038/s41598-021-03436-zA novel hybrid SEIQR model incorporating the effect of quarantine and lockdown regulations for COVID-19R. Prabakaran0Sherlyn Jemimah1Puneet Rawat2Divya Sharma3M. Michael Gromiha4Protein Bioinformatics Lab, Department of Biotechnology, Indian Institute of Technology MadrasProtein Bioinformatics Lab, Department of Biotechnology, Indian Institute of Technology MadrasProtein Bioinformatics Lab, Department of Biotechnology, Indian Institute of Technology MadrasProtein Bioinformatics Lab, Department of Biotechnology, Indian Institute of Technology MadrasProtein Bioinformatics Lab, Department of Biotechnology, Indian Institute of Technology MadrasAbstract Mitigating the devastating effect of COVID-19 is necessary to control the infectivity and mortality rates. Hence, several strategies such as quarantine of exposed and infected individuals and restricting movement through lockdown of geographical regions have been implemented in most countries. On the other hand, standard SEIR based mathematical models have been developed to understand the disease dynamics of COVID-19, and the proper inclusion of these restrictions is the rate-limiting step for the success of these models. In this work, we have developed a hybrid Susceptible-Exposed-Infected-Quarantined-Removed (SEIQR) model to explore the influence of quarantine and lockdown on disease propagation dynamics. The model is multi-compartmental, and it considers everyday variations in lockdown regulations, testing rate and quarantine individuals. Our model predicts a considerable difference in reported and actual recovered and deceased cases in qualitative agreement with recent reports.https://doi.org/10.1038/s41598-021-03436-z |
| spellingShingle | R. Prabakaran Sherlyn Jemimah Puneet Rawat Divya Sharma M. Michael Gromiha A novel hybrid SEIQR model incorporating the effect of quarantine and lockdown regulations for COVID-19 Scientific Reports |
| title | A novel hybrid SEIQR model incorporating the effect of quarantine and lockdown regulations for COVID-19 |
| title_full | A novel hybrid SEIQR model incorporating the effect of quarantine and lockdown regulations for COVID-19 |
| title_fullStr | A novel hybrid SEIQR model incorporating the effect of quarantine and lockdown regulations for COVID-19 |
| title_full_unstemmed | A novel hybrid SEIQR model incorporating the effect of quarantine and lockdown regulations for COVID-19 |
| title_short | A novel hybrid SEIQR model incorporating the effect of quarantine and lockdown regulations for COVID-19 |
| title_sort | novel hybrid seiqr model incorporating the effect of quarantine and lockdown regulations for covid 19 |
| url | https://doi.org/10.1038/s41598-021-03436-z |
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