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Epidemic model of COVID-19 outbreak by inducing behavioural response in population
COVID-19 has spread around the world since December 2019, creating one of the greatest pandemics ever witnessed. According to the current reports, this is a situation when people need to be more careful and take the precaution measures more seriously, unless the condition may become even worse. Main...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7447616/ https://www.ncbi.nlm.nih.gov/pubmed/32863581 http://dx.doi.org/10.1007/s11071-020-05896-w |
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author | Saha, Sangeeta Samanta, G. P. Nieto, Juan J. |
author_facet | Saha, Sangeeta Samanta, G. P. Nieto, Juan J. |
author_sort | Saha, Sangeeta |
collection | PubMed |
description | COVID-19 has spread around the world since December 2019, creating one of the greatest pandemics ever witnessed. According to the current reports, this is a situation when people need to be more careful and take the precaution measures more seriously, unless the condition may become even worse. Maintaining social distances and proper hygiene, staying at isolation or adopting the self-quarantine method are some of the common practices that people should use to avoid the infection. And the growing information regarding COVID-19 and its symptoms help the people to take proper precautions. In this present study, we consider an SEIRS epidemiological model on COVID-19 transmission which accounts for the effect of an individual’s behavioural response due to the information regarding proper precautions. Our results indicate that if people respond to the growing information regarding awareness at a higher rate and start to take the protective measures, then the infected population decreases significantly. The disease fatality can be controlled only if a large proportion of individuals become immune, either by natural immunity or by a proper vaccine. In order to apply the latter option, we need to wait until a safe and proper vaccine is developed and it is a time-taking process. Hence, in the latter part of the work, an optimal control problem is considered by implementing control strategies to reduce the disease burden. Numerical figures show that the control denoting behavioural response works with higher intensity immediately after implementation and then gradually decreases with time. Further, the control policy denoting hospitalisation of infected individuals works with its maximum intensity for quite a long time period following a sudden decrease. As, the implementation of the control strategies reduce the infected population and increase the recovered population, so, it may help to reduce the disease transmission at this current epidemic situation. |
format | Online Article Text |
id | pubmed-7447616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-74476162020-08-26 Epidemic model of COVID-19 outbreak by inducing behavioural response in population Saha, Sangeeta Samanta, G. P. Nieto, Juan J. Nonlinear Dyn Original Paper COVID-19 has spread around the world since December 2019, creating one of the greatest pandemics ever witnessed. According to the current reports, this is a situation when people need to be more careful and take the precaution measures more seriously, unless the condition may become even worse. Maintaining social distances and proper hygiene, staying at isolation or adopting the self-quarantine method are some of the common practices that people should use to avoid the infection. And the growing information regarding COVID-19 and its symptoms help the people to take proper precautions. In this present study, we consider an SEIRS epidemiological model on COVID-19 transmission which accounts for the effect of an individual’s behavioural response due to the information regarding proper precautions. Our results indicate that if people respond to the growing information regarding awareness at a higher rate and start to take the protective measures, then the infected population decreases significantly. The disease fatality can be controlled only if a large proportion of individuals become immune, either by natural immunity or by a proper vaccine. In order to apply the latter option, we need to wait until a safe and proper vaccine is developed and it is a time-taking process. Hence, in the latter part of the work, an optimal control problem is considered by implementing control strategies to reduce the disease burden. Numerical figures show that the control denoting behavioural response works with higher intensity immediately after implementation and then gradually decreases with time. Further, the control policy denoting hospitalisation of infected individuals works with its maximum intensity for quite a long time period following a sudden decrease. As, the implementation of the control strategies reduce the infected population and increase the recovered population, so, it may help to reduce the disease transmission at this current epidemic situation. Springer Netherlands 2020-08-26 2020 /pmc/articles/PMC7447616/ /pubmed/32863581 http://dx.doi.org/10.1007/s11071-020-05896-w Text en © Springer Nature B.V. 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Saha, Sangeeta Samanta, G. P. Nieto, Juan J. Epidemic model of COVID-19 outbreak by inducing behavioural response in population |
title | Epidemic model of COVID-19 outbreak by inducing behavioural response in population |
title_full | Epidemic model of COVID-19 outbreak by inducing behavioural response in population |
title_fullStr | Epidemic model of COVID-19 outbreak by inducing behavioural response in population |
title_full_unstemmed | Epidemic model of COVID-19 outbreak by inducing behavioural response in population |
title_short | Epidemic model of COVID-19 outbreak by inducing behavioural response in population |
title_sort | epidemic model of covid-19 outbreak by inducing behavioural response in population |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7447616/ https://www.ncbi.nlm.nih.gov/pubmed/32863581 http://dx.doi.org/10.1007/s11071-020-05896-w |
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