Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Reed, Carrie, Biggerstaff, Matthew, Finelli, Lyn, Koonin, Lisa M., Beauvais, Denise, Uzicanin, Amra, Plummer, Andrew, Bresee, Joe, Redd, Stephen C., Jernigan, Daniel B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2013
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
_version_ 1782257361810882560
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
work_keys_str_mv AT reedcarrie novelframeworkforassessingepidemiologiceffectsofinfluenzaepidemicsandpandemics
AT biggerstaffmatthew novelframeworkforassessingepidemiologiceffectsofinfluenzaepidemicsandpandemics
AT finellilyn novelframeworkforassessingepidemiologiceffectsofinfluenzaepidemicsandpandemics
AT kooninlisam novelframeworkforassessingepidemiologiceffectsofinfluenzaepidemicsandpandemics
AT beauvaisdenise novelframeworkforassessingepidemiologiceffectsofinfluenzaepidemicsandpandemics
AT uzicaninamra novelframeworkforassessingepidemiologiceffectsofinfluenzaepidemicsandpandemics
AT plummerandrew novelframeworkforassessingepidemiologiceffectsofinfluenzaepidemicsandpandemics
AT breseejoe novelframeworkforassessingepidemiologiceffectsofinfluenzaepidemicsandpandemics
AT reddstephenc novelframeworkforassessingepidemiologiceffectsofinfluenzaepidemicsandpandemics
AT jernigandanielb novelframeworkforassessingepidemiologiceffectsofinfluenzaepidemicsandpandemics