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Analytical solution of SEIR model describing the free spread of the COVID-19 pandemic
We analytically study the SEIR (Susceptible Exposed Infectious Removed) epidemic model. The aim is to provide simple analytical expressions for the peak and asymptotic values and their characteristic times of the populations affected by the COVID-19 pandemic.
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7445013/ https://www.ncbi.nlm.nih.gov/pubmed/32863617 http://dx.doi.org/10.1016/j.chaos.2020.110243 |
| _version_ | 1783573905305239552 |
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| author | Piovella, Nicola |
| author_facet | Piovella, Nicola |
| author_sort | Piovella, Nicola |
| collection | PubMed |
| description | We analytically study the SEIR (Susceptible Exposed Infectious Removed) epidemic model. The aim is to provide simple analytical expressions for the peak and asymptotic values and their characteristic times of the populations affected by the COVID-19 pandemic. |
| format | Online Article Text |
| id | pubmed-7445013 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2020 |
| publisher | Elsevier Ltd. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-74450132020-08-26 Analytical solution of SEIR model describing the free spread of the COVID-19 pandemic Piovella, Nicola Chaos Solitons Fractals Article We analytically study the SEIR (Susceptible Exposed Infectious Removed) epidemic model. The aim is to provide simple analytical expressions for the peak and asymptotic values and their characteristic times of the populations affected by the COVID-19 pandemic. Elsevier Ltd. 2020-11 2020-08-24 /pmc/articles/PMC7445013/ /pubmed/32863617 http://dx.doi.org/10.1016/j.chaos.2020.110243 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
| spellingShingle | Article Piovella, Nicola Analytical solution of SEIR model describing the free spread of the COVID-19 pandemic |
| title | Analytical solution of SEIR model describing the free spread of the COVID-19 pandemic |
| title_full | Analytical solution of SEIR model describing the free spread of the COVID-19 pandemic |
| title_fullStr | Analytical solution of SEIR model describing the free spread of the COVID-19 pandemic |
| title_full_unstemmed | Analytical solution of SEIR model describing the free spread of the COVID-19 pandemic |
| title_short | Analytical solution of SEIR model describing the free spread of the COVID-19 pandemic |
| title_sort | analytical solution of seir model describing the free spread of the covid-19 pandemic |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7445013/ https://www.ncbi.nlm.nih.gov/pubmed/32863617 http://dx.doi.org/10.1016/j.chaos.2020.110243 |
| work_keys_str_mv | AT piovellanicola analyticalsolutionofseirmodeldescribingthefreespreadofthecovid19pandemic |