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Directly transmitted viral diseases: modeling the dynamics of transmission
A key hurdle in understanding the spread and control of infectious diseases is to capture appropriately the dynamics of pathogen transmission. As people and goods travel increasingly rapidly around the world, so do pathogens; we must be prepared to understand their spread, in terms of the contact ne...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127822/ https://www.ncbi.nlm.nih.gov/pubmed/18356058 http://dx.doi.org/10.1016/j.tim.2008.01.007 |
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author | Lavine, Jennie S. Poss, Mary Grenfell, Bryan T. |
author_facet | Lavine, Jennie S. Poss, Mary Grenfell, Bryan T. |
author_sort | Lavine, Jennie S. |
collection | PubMed |
description | A key hurdle in understanding the spread and control of infectious diseases is to capture appropriately the dynamics of pathogen transmission. As people and goods travel increasingly rapidly around the world, so do pathogens; we must be prepared to understand their spread, in terms of the contact network between hosts, viral life history and within-host dynamics. This will require collaborative work that takes into account viral life history, strategy and evolution, and host genetics, demographics and immunodynamics. Mathematical models are a useful tool for integrating the data and analyses from diverse fields that contribute to our understanding of viral transmission dynamics in heterogeneous host populations. |
format | Online Article Text |
id | pubmed-7127822 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71278222020-04-08 Directly transmitted viral diseases: modeling the dynamics of transmission Lavine, Jennie S. Poss, Mary Grenfell, Bryan T. Trends Microbiol Review A key hurdle in understanding the spread and control of infectious diseases is to capture appropriately the dynamics of pathogen transmission. As people and goods travel increasingly rapidly around the world, so do pathogens; we must be prepared to understand their spread, in terms of the contact network between hosts, viral life history and within-host dynamics. This will require collaborative work that takes into account viral life history, strategy and evolution, and host genetics, demographics and immunodynamics. Mathematical models are a useful tool for integrating the data and analyses from diverse fields that contribute to our understanding of viral transmission dynamics in heterogeneous host populations. Elsevier Ltd. 2008-04 2008-03-19 /pmc/articles/PMC7127822/ /pubmed/18356058 http://dx.doi.org/10.1016/j.tim.2008.01.007 Text en Copyright © 2008 Elsevier Ltd. 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 | Review Lavine, Jennie S. Poss, Mary Grenfell, Bryan T. Directly transmitted viral diseases: modeling the dynamics of transmission |
title | Directly transmitted viral diseases: modeling the dynamics of transmission |
title_full | Directly transmitted viral diseases: modeling the dynamics of transmission |
title_fullStr | Directly transmitted viral diseases: modeling the dynamics of transmission |
title_full_unstemmed | Directly transmitted viral diseases: modeling the dynamics of transmission |
title_short | Directly transmitted viral diseases: modeling the dynamics of transmission |
title_sort | directly transmitted viral diseases: modeling the dynamics of transmission |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127822/ https://www.ncbi.nlm.nih.gov/pubmed/18356058 http://dx.doi.org/10.1016/j.tim.2008.01.007 |
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