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Products of Compartmental Models in Epidemiology
We show that many structured epidemic models may be described using a straightforward product structure in this paper. Such products, derived from products of directed graphs, may represent useful refinements including geographic and demographic structure, age structure, gender, risk groups, or immu...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5576399/ https://www.ncbi.nlm.nih.gov/pubmed/28900467 http://dx.doi.org/10.1155/2017/8613878 |
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author | Worden, Lee Porco, Travis C. |
author_facet | Worden, Lee Porco, Travis C. |
author_sort | Worden, Lee |
collection | PubMed |
description | We show that many structured epidemic models may be described using a straightforward product structure in this paper. Such products, derived from products of directed graphs, may represent useful refinements including geographic and demographic structure, age structure, gender, risk groups, or immunity status. Extension to multistrain dynamics, that is, pathogen heterogeneity, is also shown to be feasible in this framework. Systematic use of such products may aid in model development and exploration, can yield insight, and could form the basis of a systematic approach to numerical structural sensitivity analysis. |
format | Online Article Text |
id | pubmed-5576399 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-55763992017-09-12 Products of Compartmental Models in Epidemiology Worden, Lee Porco, Travis C. Comput Math Methods Med Research Article We show that many structured epidemic models may be described using a straightforward product structure in this paper. Such products, derived from products of directed graphs, may represent useful refinements including geographic and demographic structure, age structure, gender, risk groups, or immunity status. Extension to multistrain dynamics, that is, pathogen heterogeneity, is also shown to be feasible in this framework. Systematic use of such products may aid in model development and exploration, can yield insight, and could form the basis of a systematic approach to numerical structural sensitivity analysis. Hindawi 2017 2017-08-16 /pmc/articles/PMC5576399/ /pubmed/28900467 http://dx.doi.org/10.1155/2017/8613878 Text en Copyright © 2017 Lee Worden and Travis C. Porco. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Worden, Lee Porco, Travis C. Products of Compartmental Models in Epidemiology |
title | Products of Compartmental Models in Epidemiology |
title_full | Products of Compartmental Models in Epidemiology |
title_fullStr | Products of Compartmental Models in Epidemiology |
title_full_unstemmed | Products of Compartmental Models in Epidemiology |
title_short | Products of Compartmental Models in Epidemiology |
title_sort | products of compartmental models in epidemiology |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5576399/ https://www.ncbi.nlm.nih.gov/pubmed/28900467 http://dx.doi.org/10.1155/2017/8613878 |
work_keys_str_mv | AT wordenlee productsofcompartmentalmodelsinepidemiology AT porcotravisc productsofcompartmentalmodelsinepidemiology |