Moving epidemic method (MEM) applied to virology data as a novel real time tool to predict peak in seasonal influenza healthcare utilisation. The Scottish experience of the 2017/18 season to date

Scotland observed an unusual influenza A(H3N2)-dominated 2017/18 influenza season with healthcare services under significant pressure. We report the application of the moving epidemic method (MEM) to virology data as a tool to predict the influenza peak activity period and peak week of swab positivi...

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Autores principales: Murray, Josephine L K, Marques, Diogo F P, Cameron, Ross L, Potts, Alison, Bishop, Jennifer, von Wissmann, Beatrix, William, Naoma, Reynolds, Arlene J, Robertson, Chris, McMenamin, Jim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Centre for Disease Prevention and Control (ECDC) 2018
Materias:
Rapid Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5861591/
https://www.ncbi.nlm.nih.gov/pubmed/29560854
http://dx.doi.org/10.2807/1560-7917.ES.2018.23.11.18-00079
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author Murray, Josephine L K
Marques, Diogo F P
Cameron, Ross L
Potts, Alison
Bishop, Jennifer
von Wissmann, Beatrix
William, Naoma
Reynolds, Arlene J
Robertson, Chris
McMenamin, Jim
author_facet Murray, Josephine L K
Marques, Diogo F P
Cameron, Ross L
Potts, Alison
Bishop, Jennifer
von Wissmann, Beatrix
William, Naoma
Reynolds, Arlene J
Robertson, Chris
McMenamin, Jim
author_sort Murray, Josephine L K
collection PubMed
description Scotland observed an unusual influenza A(H3N2)-dominated 2017/18 influenza season with healthcare services under significant pressure. We report the application of the moving epidemic method (MEM) to virology data as a tool to predict the influenza peak activity period and peak week of swab positivity in the current season. This novel MEM application has been successful locally and is believed to be of potential use to other countries for healthcare planning and building wider community resilience.
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spelling pubmed-58615912018-03-29 Moving epidemic method (MEM) applied to virology data as a novel real time tool to predict peak in seasonal influenza healthcare utilisation. The Scottish experience of the 2017/18 season to date Murray, Josephine L K Marques, Diogo F P Cameron, Ross L Potts, Alison Bishop, Jennifer von Wissmann, Beatrix William, Naoma Reynolds, Arlene J Robertson, Chris McMenamin, Jim Euro Surveill Rapid Communication Scotland observed an unusual influenza A(H3N2)-dominated 2017/18 influenza season with healthcare services under significant pressure. We report the application of the moving epidemic method (MEM) to virology data as a tool to predict the influenza peak activity period and peak week of swab positivity in the current season. This novel MEM application has been successful locally and is believed to be of potential use to other countries for healthcare planning and building wider community resilience. European Centre for Disease Prevention and Control (ECDC) 2018-03-15 /pmc/articles/PMC5861591/ /pubmed/29560854 http://dx.doi.org/10.2807/1560-7917.ES.2018.23.11.18-00079 Text en This article is copyright of The Authors, 2018. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.
spellingShingle Rapid Communication
Murray, Josephine L K
Marques, Diogo F P
Cameron, Ross L
Potts, Alison
Bishop, Jennifer
von Wissmann, Beatrix
William, Naoma
Reynolds, Arlene J
Robertson, Chris
McMenamin, Jim
Moving epidemic method (MEM) applied to virology data as a novel real time tool to predict peak in seasonal influenza healthcare utilisation. The Scottish experience of the 2017/18 season to date
title Moving epidemic method (MEM) applied to virology data as a novel real time tool to predict peak in seasonal influenza healthcare utilisation. The Scottish experience of the 2017/18 season to date
title_full Moving epidemic method (MEM) applied to virology data as a novel real time tool to predict peak in seasonal influenza healthcare utilisation. The Scottish experience of the 2017/18 season to date
title_fullStr Moving epidemic method (MEM) applied to virology data as a novel real time tool to predict peak in seasonal influenza healthcare utilisation. The Scottish experience of the 2017/18 season to date
title_full_unstemmed Moving epidemic method (MEM) applied to virology data as a novel real time tool to predict peak in seasonal influenza healthcare utilisation. The Scottish experience of the 2017/18 season to date
title_short Moving epidemic method (MEM) applied to virology data as a novel real time tool to predict peak in seasonal influenza healthcare utilisation. The Scottish experience of the 2017/18 season to date
title_sort moving epidemic method (mem) applied to virology data as a novel real time tool to predict peak in seasonal influenza healthcare utilisation. the scottish experience of the 2017/18 season to date
topic Rapid Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5861591/
https://www.ncbi.nlm.nih.gov/pubmed/29560854
http://dx.doi.org/10.2807/1560-7917.ES.2018.23.11.18-00079
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