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Validation of Syndromic Surveillance for Respiratory Pathogen Activity

Syndromic surveillance is increasingly used to signal unusual illness events. To validate data-source selection, we retrospectively investigated the extent to which 6 respiratory syndromes (based on different medical registries) reflected respiratory pathogen activity. These syndromes showed higher...

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Autores principales: van den Wijngaard, Cees, van Asten, Liselotte, van Pelt, Wilfrid, Nagelkerke, Nico J.D., Verheij, Robert, de Neeling, Albert J., Dekkers, Arnold, van der Sande, Marianne A.B., van Vliet, Hans, Koopmans, Marion P.G.
Formato: Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2600280/
https://www.ncbi.nlm.nih.gov/pubmed/18507902
http://dx.doi.org/10.3201/eid1406.071467
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author van den Wijngaard, Cees
van Asten, Liselotte
van Pelt, Wilfrid
Nagelkerke, Nico J.D.
Verheij, Robert
de Neeling, Albert J.
Dekkers, Arnold
van der Sande, Marianne A.B.
van Vliet, Hans
Koopmans, Marion P.G.
author_facet van den Wijngaard, Cees
van Asten, Liselotte
van Pelt, Wilfrid
Nagelkerke, Nico J.D.
Verheij, Robert
de Neeling, Albert J.
Dekkers, Arnold
van der Sande, Marianne A.B.
van Vliet, Hans
Koopmans, Marion P.G.
author_sort van den Wijngaard, Cees
collection PubMed
description Syndromic surveillance is increasingly used to signal unusual illness events. To validate data-source selection, we retrospectively investigated the extent to which 6 respiratory syndromes (based on different medical registries) reflected respiratory pathogen activity. These syndromes showed higher levels in winter, which corresponded with higher laboratory counts of Streptococcus pneumoniae, respiratory syncytial virus, and influenza virus. Multiple linear regression models indicated that most syndrome variations (up to 86%) can be explained by counts of respiratory pathogens. Absenteeism and pharmacy syndromes might reflect nonrespiratory conditions as well. We also observed systematic syndrome elevations in the fall, which were unexplained by pathogen counts but likely reflected rhinovirus activity. Earliest syndrome elevations were observed in absenteeism data, followed by hospital data (+1 week), pharmacy/general practitioner consultations (+2 weeks), and deaths/laboratory submissions (test requests) (+3 weeks). We conclude that these syndromes can be used for respiratory syndromic surveillance, since they reflect patterns in respiratory pathogen activity.
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spelling pubmed-26002802009-01-13 Validation of Syndromic Surveillance for Respiratory Pathogen Activity van den Wijngaard, Cees van Asten, Liselotte van Pelt, Wilfrid Nagelkerke, Nico J.D. Verheij, Robert de Neeling, Albert J. Dekkers, Arnold van der Sande, Marianne A.B. van Vliet, Hans Koopmans, Marion P.G. Emerg Infect Dis Research Syndromic surveillance is increasingly used to signal unusual illness events. To validate data-source selection, we retrospectively investigated the extent to which 6 respiratory syndromes (based on different medical registries) reflected respiratory pathogen activity. These syndromes showed higher levels in winter, which corresponded with higher laboratory counts of Streptococcus pneumoniae, respiratory syncytial virus, and influenza virus. Multiple linear regression models indicated that most syndrome variations (up to 86%) can be explained by counts of respiratory pathogens. Absenteeism and pharmacy syndromes might reflect nonrespiratory conditions as well. We also observed systematic syndrome elevations in the fall, which were unexplained by pathogen counts but likely reflected rhinovirus activity. Earliest syndrome elevations were observed in absenteeism data, followed by hospital data (+1 week), pharmacy/general practitioner consultations (+2 weeks), and deaths/laboratory submissions (test requests) (+3 weeks). We conclude that these syndromes can be used for respiratory syndromic surveillance, since they reflect patterns in respiratory pathogen activity. Centers for Disease Control and Prevention 2008-06 /pmc/articles/PMC2600280/ /pubmed/18507902 http://dx.doi.org/10.3201/eid1406.071467 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Research
van den Wijngaard, Cees
van Asten, Liselotte
van Pelt, Wilfrid
Nagelkerke, Nico J.D.
Verheij, Robert
de Neeling, Albert J.
Dekkers, Arnold
van der Sande, Marianne A.B.
van Vliet, Hans
Koopmans, Marion P.G.
Validation of Syndromic Surveillance for Respiratory Pathogen Activity
title Validation of Syndromic Surveillance for Respiratory Pathogen Activity
title_full Validation of Syndromic Surveillance for Respiratory Pathogen Activity
title_fullStr Validation of Syndromic Surveillance for Respiratory Pathogen Activity
title_full_unstemmed Validation of Syndromic Surveillance for Respiratory Pathogen Activity
title_short Validation of Syndromic Surveillance for Respiratory Pathogen Activity
title_sort validation of syndromic surveillance for respiratory pathogen activity
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2600280/
https://www.ncbi.nlm.nih.gov/pubmed/18507902
http://dx.doi.org/10.3201/eid1406.071467
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