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Evidence for history-dependence of influenza pandemic emergence

Influenza A viruses have caused a number of global pandemics, with considerable mortality in humans. Here, we analyse the time periods between influenza pandemics since 1700 under different assumptions to determine whether the emergence of new pandemic strains is a memoryless or history-dependent pr...

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Detalles Bibliográficos
Autores principales: Hill, Edward M., Tildesley, Michael J., House, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333635/
https://www.ncbi.nlm.nih.gov/pubmed/28252671
http://dx.doi.org/10.1038/srep43623
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author Hill, Edward M.
Tildesley, Michael J.
House, Thomas
author_facet Hill, Edward M.
Tildesley, Michael J.
House, Thomas
author_sort Hill, Edward M.
collection PubMed
description Influenza A viruses have caused a number of global pandemics, with considerable mortality in humans. Here, we analyse the time periods between influenza pandemics since 1700 under different assumptions to determine whether the emergence of new pandemic strains is a memoryless or history-dependent process. Bayesian model selection between exponential and gamma distributions for these time periods gives support to the hypothesis of history-dependence under eight out of nine sets of modelling assumptions. Using the fitted parameters to make predictions shows a high level of variability in the modelled number of pandemics from 2010–2110. The approach we take here relies on limited data, so is uncertain, but it provides cheap, safe and direct evidence relating to pandemic emergence, a field where indirect measurements are often made at great risk and cost.
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spelling pubmed-53336352017-03-06 Evidence for history-dependence of influenza pandemic emergence Hill, Edward M. Tildesley, Michael J. House, Thomas Sci Rep Article Influenza A viruses have caused a number of global pandemics, with considerable mortality in humans. Here, we analyse the time periods between influenza pandemics since 1700 under different assumptions to determine whether the emergence of new pandemic strains is a memoryless or history-dependent process. Bayesian model selection between exponential and gamma distributions for these time periods gives support to the hypothesis of history-dependence under eight out of nine sets of modelling assumptions. Using the fitted parameters to make predictions shows a high level of variability in the modelled number of pandemics from 2010–2110. The approach we take here relies on limited data, so is uncertain, but it provides cheap, safe and direct evidence relating to pandemic emergence, a field where indirect measurements are often made at great risk and cost. Nature Publishing Group 2017-03-02 /pmc/articles/PMC5333635/ /pubmed/28252671 http://dx.doi.org/10.1038/srep43623 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Hill, Edward M.
Tildesley, Michael J.
House, Thomas
Evidence for history-dependence of influenza pandemic emergence
title Evidence for history-dependence of influenza pandemic emergence
title_full Evidence for history-dependence of influenza pandemic emergence
title_fullStr Evidence for history-dependence of influenza pandemic emergence
title_full_unstemmed Evidence for history-dependence of influenza pandemic emergence
title_short Evidence for history-dependence of influenza pandemic emergence
title_sort evidence for history-dependence of influenza pandemic emergence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333635/
https://www.ncbi.nlm.nih.gov/pubmed/28252671
http://dx.doi.org/10.1038/srep43623
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