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Staged progression model for epidemic spread on homogeneous and heterogeneous networks
In this paper, epidemic spread with the staged progression model on homogeneous and heterogeneous networks is studied. First, the epidemic threshold of the simple staged progression model is given. Then the staged progression model with birth and death is also considered. The case where infectivity...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academy of Mathematics and Systems Science, Chinese Academy of Sciences
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7089252/ https://www.ncbi.nlm.nih.gov/pubmed/32214750 http://dx.doi.org/10.1007/s11424-011-8252-8 |
_version_ | 1783509695088033792 |
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author | Zhang, Haifeng Small, Michael Fu, Xinchu |
author_facet | Zhang, Haifeng Small, Michael Fu, Xinchu |
author_sort | Zhang, Haifeng |
collection | PubMed |
description | In this paper, epidemic spread with the staged progression model on homogeneous and heterogeneous networks is studied. First, the epidemic threshold of the simple staged progression model is given. Then the staged progression model with birth and death is also considered. The case where infectivity is a nonlinear function of the nodes’ degree is discussed, too. Finally, the analytical results are verified by numerical simulations. |
format | Online Article Text |
id | pubmed-7089252 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Academy of Mathematics and Systems Science, Chinese Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-70892522020-03-23 Staged progression model for epidemic spread on homogeneous and heterogeneous networks Zhang, Haifeng Small, Michael Fu, Xinchu J Syst Sci Complex Article In this paper, epidemic spread with the staged progression model on homogeneous and heterogeneous networks is studied. First, the epidemic threshold of the simple staged progression model is given. Then the staged progression model with birth and death is also considered. The case where infectivity is a nonlinear function of the nodes’ degree is discussed, too. Finally, the analytical results are verified by numerical simulations. Academy of Mathematics and Systems Science, Chinese Academy of Sciences 2011-06-11 2011 /pmc/articles/PMC7089252/ /pubmed/32214750 http://dx.doi.org/10.1007/s11424-011-8252-8 Text en © Institute of Systems Science, Academy of Mathematics and Systems Science, CAS and Springer-Verlag Berlin Heidelberg 2011 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 | Article Zhang, Haifeng Small, Michael Fu, Xinchu Staged progression model for epidemic spread on homogeneous and heterogeneous networks |
title | Staged progression model for epidemic spread on homogeneous and heterogeneous networks |
title_full | Staged progression model for epidemic spread on homogeneous and heterogeneous networks |
title_fullStr | Staged progression model for epidemic spread on homogeneous and heterogeneous networks |
title_full_unstemmed | Staged progression model for epidemic spread on homogeneous and heterogeneous networks |
title_short | Staged progression model for epidemic spread on homogeneous and heterogeneous networks |
title_sort | staged progression model for epidemic spread on homogeneous and heterogeneous networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7089252/ https://www.ncbi.nlm.nih.gov/pubmed/32214750 http://dx.doi.org/10.1007/s11424-011-8252-8 |
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