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An epidemiological model for SARS-CoV-2
The spread of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is here investigated from an epidemic model considering four pathways of person-to-person transmission. These pathways represent the propagation of this novel coronavirus by asymptomatic and symptomatic infected individuals....
Autor principal: | |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256613/ http://dx.doi.org/10.1016/j.ecocom.2020.100836 |
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author | Monteiro, L.H.A. |
author_facet | Monteiro, L.H.A. |
author_sort | Monteiro, L.H.A. |
collection | PubMed |
description | The spread of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is here investigated from an epidemic model considering four pathways of person-to-person transmission. These pathways represent the propagation of this novel coronavirus by asymptomatic and symptomatic infected individuals. In this work, analytical expressions for the disease-free and endemic steady-states are derived. Also, the conditions for eradication of this contagious disease are determined. By taking into account realistic parameter values, the proposed model shows an oscillatory convergence to the endemic steady-state, which means the occurrence of a sequence of peaks in the number of sick individuals as time passes. These results are discussed from a public health standpoint. |
format | Online Article Text |
id | pubmed-7256613 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72566132020-05-29 An epidemiological model for SARS-CoV-2 Monteiro, L.H.A. Ecological Complexity Article The spread of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is here investigated from an epidemic model considering four pathways of person-to-person transmission. These pathways represent the propagation of this novel coronavirus by asymptomatic and symptomatic infected individuals. In this work, analytical expressions for the disease-free and endemic steady-states are derived. Also, the conditions for eradication of this contagious disease are determined. By taking into account realistic parameter values, the proposed model shows an oscillatory convergence to the endemic steady-state, which means the occurrence of a sequence of peaks in the number of sick individuals as time passes. These results are discussed from a public health standpoint. Elsevier B.V. 2020-08 2020-05-29 /pmc/articles/PMC7256613/ http://dx.doi.org/10.1016/j.ecocom.2020.100836 Text en © 2020 Elsevier B.V. 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 Monteiro, L.H.A. An epidemiological model for SARS-CoV-2 |
title | An epidemiological model for SARS-CoV-2 |
title_full | An epidemiological model for SARS-CoV-2 |
title_fullStr | An epidemiological model for SARS-CoV-2 |
title_full_unstemmed | An epidemiological model for SARS-CoV-2 |
title_short | An epidemiological model for SARS-CoV-2 |
title_sort | epidemiological model for sars-cov-2 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256613/ http://dx.doi.org/10.1016/j.ecocom.2020.100836 |
work_keys_str_mv | AT monteirolha anepidemiologicalmodelforsarscov2 AT monteirolha epidemiologicalmodelforsarscov2 |