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A Fuzzy Reed–Frost Model for Epidemic Spreading
In this paper, we present a fuzzy approach to the Reed–Frost model for epidemic spreading taking into account uncertainties in the diagnostic of the infection. The heterogeneities in the infected group is based on the clinical signals of the individuals (symptoms, laboratorial exams, medical finding...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer-Verlag
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088695/ https://www.ncbi.nlm.nih.gov/pubmed/18663537 http://dx.doi.org/10.1007/s11538-008-9332-3 |
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author | Ortega, Neli R. S. Santos, Fabiano S. Zanetta, Dirce M. T. Massad, Eduardo |
author_facet | Ortega, Neli R. S. Santos, Fabiano S. Zanetta, Dirce M. T. Massad, Eduardo |
author_sort | Ortega, Neli R. S. |
collection | PubMed |
description | In this paper, we present a fuzzy approach to the Reed–Frost model for epidemic spreading taking into account uncertainties in the diagnostic of the infection. The heterogeneities in the infected group is based on the clinical signals of the individuals (symptoms, laboratorial exams, medical findings, etc.), which are incorporated into the dynamic of the epidemic. The infectivity level is time-varying and the classification of the individuals is performed through fuzzy relations. Simulations considering a real problem with data of the viral epidemic in a children daycare are performed and the results are compared with a stochastic Reed–Frost generalization. |
format | Online Article Text |
id | pubmed-7088695 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-70886952020-03-23 A Fuzzy Reed–Frost Model for Epidemic Spreading Ortega, Neli R. S. Santos, Fabiano S. Zanetta, Dirce M. T. Massad, Eduardo Bull Math Biol Original Article In this paper, we present a fuzzy approach to the Reed–Frost model for epidemic spreading taking into account uncertainties in the diagnostic of the infection. The heterogeneities in the infected group is based on the clinical signals of the individuals (symptoms, laboratorial exams, medical findings, etc.), which are incorporated into the dynamic of the epidemic. The infectivity level is time-varying and the classification of the individuals is performed through fuzzy relations. Simulations considering a real problem with data of the viral epidemic in a children daycare are performed and the results are compared with a stochastic Reed–Frost generalization. Springer-Verlag 2008-07-29 2008 /pmc/articles/PMC7088695/ /pubmed/18663537 http://dx.doi.org/10.1007/s11538-008-9332-3 Text en © Society for Mathematical Biology 2008 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 Article Ortega, Neli R. S. Santos, Fabiano S. Zanetta, Dirce M. T. Massad, Eduardo A Fuzzy Reed–Frost Model for Epidemic Spreading |
title | A Fuzzy Reed–Frost Model for Epidemic Spreading |
title_full | A Fuzzy Reed–Frost Model for Epidemic Spreading |
title_fullStr | A Fuzzy Reed–Frost Model for Epidemic Spreading |
title_full_unstemmed | A Fuzzy Reed–Frost Model for Epidemic Spreading |
title_short | A Fuzzy Reed–Frost Model for Epidemic Spreading |
title_sort | fuzzy reed–frost model for epidemic spreading |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088695/ https://www.ncbi.nlm.nih.gov/pubmed/18663537 http://dx.doi.org/10.1007/s11538-008-9332-3 |
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