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Telephone Triage Service Data for Detection of Influenza-Like Illness

BACKGROUND: Surveillance for influenza and influenza-like illness (ILI) is important for guiding public health prevention programs to mitigate the morbidity and mortality caused by influenza, including pandemic influenza. Nontraditional sources of data for influenza and ILI surveillance are of inter...

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Autores principales: Yih, W. Katherine, Teates, Kathryn S., Abrams, Allyson, Kleinman, Ken, Kulldorff, Martin, Pinner, Robert, Harmon, Robert, Wang, Stanley, Platt, Richard
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2668187/
https://www.ncbi.nlm.nih.gov/pubmed/19381342
http://dx.doi.org/10.1371/journal.pone.0005260
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author Yih, W. Katherine
Teates, Kathryn S.
Abrams, Allyson
Kleinman, Ken
Kulldorff, Martin
Pinner, Robert
Harmon, Robert
Wang, Stanley
Platt, Richard
author_facet Yih, W. Katherine
Teates, Kathryn S.
Abrams, Allyson
Kleinman, Ken
Kulldorff, Martin
Pinner, Robert
Harmon, Robert
Wang, Stanley
Platt, Richard
author_sort Yih, W. Katherine
collection PubMed
description BACKGROUND: Surveillance for influenza and influenza-like illness (ILI) is important for guiding public health prevention programs to mitigate the morbidity and mortality caused by influenza, including pandemic influenza. Nontraditional sources of data for influenza and ILI surveillance are of interest to public health authorities if their validity can be established. METHODS/PRINCIPAL FINDINGS: National telephone triage call data were collected through automated means for purposes of syndromic surveillance. For the 17 states with at least 500,000 inhabitants eligible to use the telephone triage services, call volume for respiratory syndrome was compared to CDC weekly number of influenza isolates and percentage of visits to sentinel providers for ILI. The degree to which the call data were correlated with either CDC viral isolates or sentinel provider percentage ILI data was highly variable among states. CONCLUSIONS: Telephone triage data in the U.S. are patchy in coverage and therefore not a reliable source of ILI surveillance data on a national scale. However, in states displaying a higher correlation between the call data and the CDC data, call data may be useful as an adjunct to state-level surveillance data, for example at times when sentinel surveillance is not in operation or in areas where sentinel provider coverage is considered insufficient. Sufficient population coverage, a specific ILI syndrome definition, and the use of a threshold of percentage of calls that are for ILI would likely improve the utility of such data for ILI surveillance purposes.
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spelling pubmed-26681872009-04-17 Telephone Triage Service Data for Detection of Influenza-Like Illness Yih, W. Katherine Teates, Kathryn S. Abrams, Allyson Kleinman, Ken Kulldorff, Martin Pinner, Robert Harmon, Robert Wang, Stanley Platt, Richard PLoS One Research Article BACKGROUND: Surveillance for influenza and influenza-like illness (ILI) is important for guiding public health prevention programs to mitigate the morbidity and mortality caused by influenza, including pandemic influenza. Nontraditional sources of data for influenza and ILI surveillance are of interest to public health authorities if their validity can be established. METHODS/PRINCIPAL FINDINGS: National telephone triage call data were collected through automated means for purposes of syndromic surveillance. For the 17 states with at least 500,000 inhabitants eligible to use the telephone triage services, call volume for respiratory syndrome was compared to CDC weekly number of influenza isolates and percentage of visits to sentinel providers for ILI. The degree to which the call data were correlated with either CDC viral isolates or sentinel provider percentage ILI data was highly variable among states. CONCLUSIONS: Telephone triage data in the U.S. are patchy in coverage and therefore not a reliable source of ILI surveillance data on a national scale. However, in states displaying a higher correlation between the call data and the CDC data, call data may be useful as an adjunct to state-level surveillance data, for example at times when sentinel surveillance is not in operation or in areas where sentinel provider coverage is considered insufficient. Sufficient population coverage, a specific ILI syndrome definition, and the use of a threshold of percentage of calls that are for ILI would likely improve the utility of such data for ILI surveillance purposes. Public Library of Science 2009-04-17 /pmc/articles/PMC2668187/ /pubmed/19381342 http://dx.doi.org/10.1371/journal.pone.0005260 Text en This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Yih, W. Katherine
Teates, Kathryn S.
Abrams, Allyson
Kleinman, Ken
Kulldorff, Martin
Pinner, Robert
Harmon, Robert
Wang, Stanley
Platt, Richard
Telephone Triage Service Data for Detection of Influenza-Like Illness
title Telephone Triage Service Data for Detection of Influenza-Like Illness
title_full Telephone Triage Service Data for Detection of Influenza-Like Illness
title_fullStr Telephone Triage Service Data for Detection of Influenza-Like Illness
title_full_unstemmed Telephone Triage Service Data for Detection of Influenza-Like Illness
title_short Telephone Triage Service Data for Detection of Influenza-Like Illness
title_sort telephone triage service data for detection of influenza-like illness
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2668187/
https://www.ncbi.nlm.nih.gov/pubmed/19381342
http://dx.doi.org/10.1371/journal.pone.0005260
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