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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.


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.

SUBMITTER: Murray JLK 

PROVIDER: S-EPMC5861591 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

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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 JLK   Marques Diogo F P DFP   Cameron Ross L RL   Potts Alison A   Bishop Jennifer J   von Wissmann Beatrix B   William Naoma N   Reynolds Arlene J AJ   Robertson Chris C   McMenamin Jim J  

Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin 20180301 11


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 resilien  ...[more]

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