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Implementing the World Health Organization Pandemic Influenza Severity Assessment framework—Singapore's experience

BACKGROUND: We report our experience in evaluating the severity of local influenza epidemics using the World Health Organization Pandemic Influenza Severity Assessment framework. METHODS: We assessed the severity of influenza by monitoring indicators of influenza transmissibility, seriousness of dis...

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Autores principales: Pung, Rachael, Lee, Vernon Jian Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928060/
https://www.ncbi.nlm.nih.gov/pubmed/31622034
http://dx.doi.org/10.1111/irv.12680
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author Pung, Rachael
Lee, Vernon Jian Ming
author_facet Pung, Rachael
Lee, Vernon Jian Ming
author_sort Pung, Rachael
collection PubMed
description BACKGROUND: We report our experience in evaluating the severity of local influenza epidemics using the World Health Organization Pandemic Influenza Severity Assessment framework. METHODS: We assessed the severity of influenza by monitoring indicators of influenza transmissibility, seriousness of disease and impact on healthcare resource utilisation. Indicators were described by various parameters collected weekly from eight government hospitals, 20 government and 30 private primary care clinics, and the national public health laboratory. Transmissibility and seriousness of disease indicators were each represented by multiple parameters, and alert thresholds were set at the 70th and 90th percentile of a parameter's past 2‐year surveillance data. We derived a collective measure for each indicator using the average percentile rank of the related parameters. Alert thresholds for the single impact parameter were set at predefined values and evaluated for its sensitivity, specificity and positive predictive value. RESULTS: For the transmissibility and seriousness of disease parameters, calculation of the percentile rank was simple and independent of a parameter's underlying distribution. For the impact parameter, predefined alert thresholds had high sensitivity and specificity (>80%) but low positive predictive value (15%‐30%). Assessment scales were used to qualitatively classify the activity of an indicator as low, moderate or high together with a confidence level. CONCLUSION: We applied different methods for threshold setting depending on the attributes of each parameter and indicator. For indicators represented by multiple parameters, an aggregated assessment of the indicator's level of activity and confidence level of the assessment was needed for effective reporting.
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spelling pubmed-69280602020-01-01 Implementing the World Health Organization Pandemic Influenza Severity Assessment framework—Singapore's experience Pung, Rachael Lee, Vernon Jian Ming Influenza Other Respir Viruses Original Articles BACKGROUND: We report our experience in evaluating the severity of local influenza epidemics using the World Health Organization Pandemic Influenza Severity Assessment framework. METHODS: We assessed the severity of influenza by monitoring indicators of influenza transmissibility, seriousness of disease and impact on healthcare resource utilisation. Indicators were described by various parameters collected weekly from eight government hospitals, 20 government and 30 private primary care clinics, and the national public health laboratory. Transmissibility and seriousness of disease indicators were each represented by multiple parameters, and alert thresholds were set at the 70th and 90th percentile of a parameter's past 2‐year surveillance data. We derived a collective measure for each indicator using the average percentile rank of the related parameters. Alert thresholds for the single impact parameter were set at predefined values and evaluated for its sensitivity, specificity and positive predictive value. RESULTS: For the transmissibility and seriousness of disease parameters, calculation of the percentile rank was simple and independent of a parameter's underlying distribution. For the impact parameter, predefined alert thresholds had high sensitivity and specificity (>80%) but low positive predictive value (15%‐30%). Assessment scales were used to qualitatively classify the activity of an indicator as low, moderate or high together with a confidence level. CONCLUSION: We applied different methods for threshold setting depending on the attributes of each parameter and indicator. For indicators represented by multiple parameters, an aggregated assessment of the indicator's level of activity and confidence level of the assessment was needed for effective reporting. John Wiley and Sons Inc. 2019-10-17 2020-01 /pmc/articles/PMC6928060/ /pubmed/31622034 http://dx.doi.org/10.1111/irv.12680 Text en © 2019 The Authors Influenza and Other Respiratory Viruses Published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Pung, Rachael
Lee, Vernon Jian Ming
Implementing the World Health Organization Pandemic Influenza Severity Assessment framework—Singapore's experience
title Implementing the World Health Organization Pandemic Influenza Severity Assessment framework—Singapore's experience
title_full Implementing the World Health Organization Pandemic Influenza Severity Assessment framework—Singapore's experience
title_fullStr Implementing the World Health Organization Pandemic Influenza Severity Assessment framework—Singapore's experience
title_full_unstemmed Implementing the World Health Organization Pandemic Influenza Severity Assessment framework—Singapore's experience
title_short Implementing the World Health Organization Pandemic Influenza Severity Assessment framework—Singapore's experience
title_sort implementing the world health organization pandemic influenza severity assessment framework—singapore's experience
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928060/
https://www.ncbi.nlm.nih.gov/pubmed/31622034
http://dx.doi.org/10.1111/irv.12680
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