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The Validity of Self-Initiated, Event-Driven Infectious Disease Reporting in General Population Cohorts
BACKGROUND: The 2009/2010 pandemic influenza highlighted the need for valid and timely incidence data. In 2007 we started the development of a passive surveillance scheme based on passive follow-up of representative general population cohorts. Cohort members are asked to spontaneously report all ins...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3629155/ https://www.ncbi.nlm.nih.gov/pubmed/23613891 http://dx.doi.org/10.1371/journal.pone.0061644 |
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author | Merk, Hanna Kühlmann-Berenzon, Sharon Bexelius, Christin Sandin, Sven Litton, Jan-Eric Linde, Annika Nyrén, Olof |
author_facet | Merk, Hanna Kühlmann-Berenzon, Sharon Bexelius, Christin Sandin, Sven Litton, Jan-Eric Linde, Annika Nyrén, Olof |
author_sort | Merk, Hanna |
collection | PubMed |
description | BACKGROUND: The 2009/2010 pandemic influenza highlighted the need for valid and timely incidence data. In 2007 we started the development of a passive surveillance scheme based on passive follow-up of representative general population cohorts. Cohort members are asked to spontaneously report all instances of colds and fevers as soon as they occur for up to 9 months. Suspecting that compliance might be poor, we aimed to assess the validity of self-initiated, event-driven outcome reporting over long periods. METHODS: During two 8 week periods in 2008 and 2009, 2376 and 2514 cohort members in Stockholm County were sent one-week recall questionnaires, which served as reference method. RESULTS: The questionnaires were completed by 88% and 86% of the cohort members. Whilst the false positive proportion (1–specificity) in the reporting was low (upper bound of the 95% confidence interval [CI] ≤2% in each season), the false negative proportion (failure to report, 1–sensitivity) was considerable (60% [95% CI 52%–67%] in each season). Still, the resulting epidemic curves for influenza-like illness compared well with those from existing General Practitioner-based sentinel surveillance in terms of shape, timing of peak, and year-to-year variation. This suggested that the error was fairly constant. CONCLUSIONS: Passive long-term surveillance through self-initiated, event-driven outcome reporting underestimates incidence rates of common upper respiratory tract infections. However, because underreporting appears predictable, simple corrections could potentially restore validity. |
format | Online Article Text |
id | pubmed-3629155 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36291552013-04-23 The Validity of Self-Initiated, Event-Driven Infectious Disease Reporting in General Population Cohorts Merk, Hanna Kühlmann-Berenzon, Sharon Bexelius, Christin Sandin, Sven Litton, Jan-Eric Linde, Annika Nyrén, Olof PLoS One Research Article BACKGROUND: The 2009/2010 pandemic influenza highlighted the need for valid and timely incidence data. In 2007 we started the development of a passive surveillance scheme based on passive follow-up of representative general population cohorts. Cohort members are asked to spontaneously report all instances of colds and fevers as soon as they occur for up to 9 months. Suspecting that compliance might be poor, we aimed to assess the validity of self-initiated, event-driven outcome reporting over long periods. METHODS: During two 8 week periods in 2008 and 2009, 2376 and 2514 cohort members in Stockholm County were sent one-week recall questionnaires, which served as reference method. RESULTS: The questionnaires were completed by 88% and 86% of the cohort members. Whilst the false positive proportion (1–specificity) in the reporting was low (upper bound of the 95% confidence interval [CI] ≤2% in each season), the false negative proportion (failure to report, 1–sensitivity) was considerable (60% [95% CI 52%–67%] in each season). Still, the resulting epidemic curves for influenza-like illness compared well with those from existing General Practitioner-based sentinel surveillance in terms of shape, timing of peak, and year-to-year variation. This suggested that the error was fairly constant. CONCLUSIONS: Passive long-term surveillance through self-initiated, event-driven outcome reporting underestimates incidence rates of common upper respiratory tract infections. However, because underreporting appears predictable, simple corrections could potentially restore validity. Public Library of Science 2013-04-17 /pmc/articles/PMC3629155/ /pubmed/23613891 http://dx.doi.org/10.1371/journal.pone.0061644 Text en © 2013 Merk et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Merk, Hanna Kühlmann-Berenzon, Sharon Bexelius, Christin Sandin, Sven Litton, Jan-Eric Linde, Annika Nyrén, Olof The Validity of Self-Initiated, Event-Driven Infectious Disease Reporting in General Population Cohorts |
title | The Validity of Self-Initiated, Event-Driven Infectious Disease Reporting in General Population Cohorts |
title_full | The Validity of Self-Initiated, Event-Driven Infectious Disease Reporting in General Population Cohorts |
title_fullStr | The Validity of Self-Initiated, Event-Driven Infectious Disease Reporting in General Population Cohorts |
title_full_unstemmed | The Validity of Self-Initiated, Event-Driven Infectious Disease Reporting in General Population Cohorts |
title_short | The Validity of Self-Initiated, Event-Driven Infectious Disease Reporting in General Population Cohorts |
title_sort | validity of self-initiated, event-driven infectious disease reporting in general population cohorts |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3629155/ https://www.ncbi.nlm.nih.gov/pubmed/23613891 http://dx.doi.org/10.1371/journal.pone.0061644 |
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