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In-host modeling
Understanding the mechanisms governing host-pathogen kinetics is important and can guide human interventions. In-host mathematical models, together with biological data, have been used in this endeavor. In this review, we present basic models used to describe acute and chronic pathogenic infections....
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6001971/ https://www.ncbi.nlm.nih.gov/pubmed/29928736 http://dx.doi.org/10.1016/j.idm.2017.04.002 |
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author | Ciupe, Stanca M. Heffernan, Jane M. |
author_facet | Ciupe, Stanca M. Heffernan, Jane M. |
author_sort | Ciupe, Stanca M. |
collection | PubMed |
description | Understanding the mechanisms governing host-pathogen kinetics is important and can guide human interventions. In-host mathematical models, together with biological data, have been used in this endeavor. In this review, we present basic models used to describe acute and chronic pathogenic infections. We highlight the power of model predictions, the role of drug therapy, and advantage of considering the dynamics of immune responses. We also present the limitations of these models due in part to the trade-off between the complexity of the model and their predictive power, and the challenges a modeler faces in determining the appropriate formulation for a given problem. |
format | Online Article Text |
id | pubmed-6001971 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | KeAi Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-60019712018-06-20 In-host modeling Ciupe, Stanca M. Heffernan, Jane M. Infect Dis Model Article Understanding the mechanisms governing host-pathogen kinetics is important and can guide human interventions. In-host mathematical models, together with biological data, have been used in this endeavor. In this review, we present basic models used to describe acute and chronic pathogenic infections. We highlight the power of model predictions, the role of drug therapy, and advantage of considering the dynamics of immune responses. We also present the limitations of these models due in part to the trade-off between the complexity of the model and their predictive power, and the challenges a modeler faces in determining the appropriate formulation for a given problem. KeAi Publishing 2017-04-29 /pmc/articles/PMC6001971/ /pubmed/29928736 http://dx.doi.org/10.1016/j.idm.2017.04.002 Text en © 2017 KeAi Communications Co., Ltd. Production and hosting by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Ciupe, Stanca M. Heffernan, Jane M. In-host modeling |
title | In-host modeling |
title_full | In-host modeling |
title_fullStr | In-host modeling |
title_full_unstemmed | In-host modeling |
title_short | In-host modeling |
title_sort | in-host modeling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6001971/ https://www.ncbi.nlm.nih.gov/pubmed/29928736 http://dx.doi.org/10.1016/j.idm.2017.04.002 |
work_keys_str_mv | AT ciupestancam inhostmodeling AT heffernanjanem inhostmodeling |