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Excess mortality impact of two epidemics of pandemic influenza A(H1N1pdm09) virus in Hong Kong

Hong Kong experienced two large epidemics of pandemic influenza A(H1N1pdm09). We used regression methods to estimate the excess mortality associated with each epidemic. The first epidemic of H1N1pdm09 peaked in September 2009 and was associated with 2·13 [95% confidence interval (CI): −8·08, 11·82]...

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Autores principales: Wu, Peng, Goldstein, Edward, Ho, Lai-Ming, Wu, Joseph T, Tsang, Thomas, Leung, Gabriel M, Cowling, Benjamin J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3877676/
https://www.ncbi.nlm.nih.gov/pubmed/24373289
http://dx.doi.org/10.1111/irv.12196
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author Wu, Peng
Goldstein, Edward
Ho, Lai-Ming
Wu, Joseph T
Tsang, Thomas
Leung, Gabriel M
Cowling, Benjamin J
author_facet Wu, Peng
Goldstein, Edward
Ho, Lai-Ming
Wu, Joseph T
Tsang, Thomas
Leung, Gabriel M
Cowling, Benjamin J
author_sort Wu, Peng
collection PubMed
description Hong Kong experienced two large epidemics of pandemic influenza A(H1N1pdm09). We used regression methods to estimate the excess mortality associated with each epidemic. The first epidemic of H1N1pdm09 peaked in September 2009 and was associated with 2·13 [95% confidence interval (CI): −8·08, 11·82] excess all-cause deaths per 100 000 population. The second epidemic of H1N1pdm09 in early 2011 was associated with 4·72 [95% CI: −0·70, 10·50] excess deaths per 100 000 population. More than half of the estimated excess all-cause deaths were attributable to respiratory causes in each epidemic. The reasons for substantial impact in the second wave remain to be clarified.
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spelling pubmed-38776762014-10-29 Excess mortality impact of two epidemics of pandemic influenza A(H1N1pdm09) virus in Hong Kong Wu, Peng Goldstein, Edward Ho, Lai-Ming Wu, Joseph T Tsang, Thomas Leung, Gabriel M Cowling, Benjamin J Influenza Other Respir Viruses Short Articles Hong Kong experienced two large epidemics of pandemic influenza A(H1N1pdm09). We used regression methods to estimate the excess mortality associated with each epidemic. The first epidemic of H1N1pdm09 peaked in September 2009 and was associated with 2·13 [95% confidence interval (CI): −8·08, 11·82] excess all-cause deaths per 100 000 population. The second epidemic of H1N1pdm09 in early 2011 was associated with 4·72 [95% CI: −0·70, 10·50] excess deaths per 100 000 population. More than half of the estimated excess all-cause deaths were attributable to respiratory causes in each epidemic. The reasons for substantial impact in the second wave remain to be clarified. Blackwell Publishing Ltd 2014-01 2013-11-07 /pmc/articles/PMC3877676/ /pubmed/24373289 http://dx.doi.org/10.1111/irv.12196 Text en © 2013 The Authors. Influenza and Other Respiratory Viruses Published by John Wiley & Sons Ltd. http://creativecommons.org/licenses/by/3.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Short Articles
Wu, Peng
Goldstein, Edward
Ho, Lai-Ming
Wu, Joseph T
Tsang, Thomas
Leung, Gabriel M
Cowling, Benjamin J
Excess mortality impact of two epidemics of pandemic influenza A(H1N1pdm09) virus in Hong Kong
title Excess mortality impact of two epidemics of pandemic influenza A(H1N1pdm09) virus in Hong Kong
title_full Excess mortality impact of two epidemics of pandemic influenza A(H1N1pdm09) virus in Hong Kong
title_fullStr Excess mortality impact of two epidemics of pandemic influenza A(H1N1pdm09) virus in Hong Kong
title_full_unstemmed Excess mortality impact of two epidemics of pandemic influenza A(H1N1pdm09) virus in Hong Kong
title_short Excess mortality impact of two epidemics of pandemic influenza A(H1N1pdm09) virus in Hong Kong
title_sort excess mortality impact of two epidemics of pandemic influenza a(h1n1pdm09) virus in hong kong
topic Short Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3877676/
https://www.ncbi.nlm.nih.gov/pubmed/24373289
http://dx.doi.org/10.1111/irv.12196
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