Murray, J. L.K., Marques, D. F.P., Cameron, R. L., Potts, A., Bishop, J., von Wissmann, B., William, N., Reynolds, A. J., Robertson, C. and McMenamin, J. (2018) 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. Eurosurveillance, 23(11), (doi: 10.2807/1560-7917.ES.2018.23.11.18-00079)
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Abstract
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.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Von Wissmann, Dr Beatrix |
Authors: | Murray, J. L.K., Marques, D. F.P., Cameron, R. L., Potts, A., Bishop, J., von Wissmann, B., William, N., Reynolds, A. J., Robertson, C., and McMenamin, J. |
College/School: | College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > Public Health |
Journal Name: | Eurosurveillance |
Publisher: | European Centre for Disease Prevention and Control |
ISSN: | 1560-7917 |
ISSN (Online): | 1025-496X |
Published Online: | 15 March 2018 |
Copyright Holders: | Copyright © 2018 The Authors |
First Published: | First published in urosurveillance 23(11):pii=18-00079 |
Publisher Policy: | Reproduced under a Creative Commons License |
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