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Novel Framework for Assessing Epidemiologic Effects of Influenza Epidemics and Pandemics
The effects of influenza on a population are attributable to the clinical severity of illness and the number of persons infected, which can vary greatly between seasons or pandemics. To create a systematic framework for assessing the public health effects of an emerging pandemic, we reviewed data fr...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3557974/ https://www.ncbi.nlm.nih.gov/pubmed/23260039 http://dx.doi.org/10.3201/eid1901.120124 |
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author | Reed, Carrie Biggerstaff, Matthew Finelli, Lyn Koonin, Lisa M. Beauvais, Denise Uzicanin, Amra Plummer, Andrew Bresee, Joe Redd, Stephen C. Jernigan, Daniel B. |
author_facet | Reed, Carrie Biggerstaff, Matthew Finelli, Lyn Koonin, Lisa M. Beauvais, Denise Uzicanin, Amra Plummer, Andrew Bresee, Joe Redd, Stephen C. Jernigan, Daniel B. |
author_sort | Reed, Carrie |
collection | PubMed |
description | The effects of influenza on a population are attributable to the clinical severity of illness and the number of persons infected, which can vary greatly between seasons or pandemics. To create a systematic framework for assessing the public health effects of an emerging pandemic, we reviewed data from past influenza seasons and pandemics to characterize severity and transmissibility (based on ranges of these measures in the United States) and outlined a formal assessment of the potential effects of a novel virus. The assessment was divided into 2 periods. Because early in a pandemic, measurement of severity and transmissibility is uncertain, we used a broad dichotomous scale in the initial assessment to divide the range of historic values. In the refined assessment, as more data became available, we categorized those values more precisely. By organizing and prioritizing data collection, this approach may inform an evidence-based assessment of pandemic effects and guide decision making. |
format | Online Article Text |
id | pubmed-3557974 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-35579742013-02-04 Novel Framework for Assessing Epidemiologic Effects of Influenza Epidemics and Pandemics Reed, Carrie Biggerstaff, Matthew Finelli, Lyn Koonin, Lisa M. Beauvais, Denise Uzicanin, Amra Plummer, Andrew Bresee, Joe Redd, Stephen C. Jernigan, Daniel B. Emerg Infect Dis Research The effects of influenza on a population are attributable to the clinical severity of illness and the number of persons infected, which can vary greatly between seasons or pandemics. To create a systematic framework for assessing the public health effects of an emerging pandemic, we reviewed data from past influenza seasons and pandemics to characterize severity and transmissibility (based on ranges of these measures in the United States) and outlined a formal assessment of the potential effects of a novel virus. The assessment was divided into 2 periods. Because early in a pandemic, measurement of severity and transmissibility is uncertain, we used a broad dichotomous scale in the initial assessment to divide the range of historic values. In the refined assessment, as more data became available, we categorized those values more precisely. By organizing and prioritizing data collection, this approach may inform an evidence-based assessment of pandemic effects and guide decision making. Centers for Disease Control and Prevention 2013-01 /pmc/articles/PMC3557974/ /pubmed/23260039 http://dx.doi.org/10.3201/eid1901.120124 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 Reed, Carrie Biggerstaff, Matthew Finelli, Lyn Koonin, Lisa M. Beauvais, Denise Uzicanin, Amra Plummer, Andrew Bresee, Joe Redd, Stephen C. Jernigan, Daniel B. Novel Framework for Assessing Epidemiologic Effects of Influenza Epidemics and Pandemics |
title | Novel Framework for Assessing Epidemiologic Effects of Influenza Epidemics and Pandemics |
title_full | Novel Framework for Assessing Epidemiologic Effects of Influenza Epidemics and Pandemics |
title_fullStr | Novel Framework for Assessing Epidemiologic Effects of Influenza Epidemics and Pandemics |
title_full_unstemmed | Novel Framework for Assessing Epidemiologic Effects of Influenza Epidemics and Pandemics |
title_short | Novel Framework for Assessing Epidemiologic Effects of Influenza Epidemics and Pandemics |
title_sort | novel framework for assessing epidemiologic effects of influenza epidemics and pandemics |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3557974/ https://www.ncbi.nlm.nih.gov/pubmed/23260039 http://dx.doi.org/10.3201/eid1901.120124 |
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