Literature DB >> 20029614

The severity of pandemic H1N1 influenza in the United States, April - July 2009.

Anne M Presanis1, Marc Lipsitch, Angie Hagy, Carrie Reed, Steven Riley, Ben Cooper, Paul Biedrzycki, Lyn Finelli, Jade B.   

Abstract

BackgroundAccurate measures of the severity of pandemic influenza A/H1N1 (pH1N1) are needed to assess the likely impact of an anticipated resurgence in the autumn in the Northern Hemisphere. Severity has been difficult to measure because jurisdictions with large numbers of deaths and other severe outcomes have had too many cases to assess the total number with confidence. Also, detection of severe cases may be more likely. Methods and FindingsWe used complementary data from two US cities: Milwaukee attempted to identify cases of medically attended infection whether or not they required hospitalization, while New York City focused on the identification of hospitalizations, intensive care admission or mechanical ventilation (hereafter, ICU), and deaths. New York data were used to estimate numerators for ICU and death, and two sources of data: medically attended cases in Milwaukee or self-reported influenza-like illness in New York, were used to estimate ratios of symptomatic cases:hospitalizations. Combining these data with estimates of the fraction detected for each level of severity, we estimated the proportion of symptomatic cases that died (symptomatic case-fatality ratio, sCFR), required ICU (sCIR), and required hospitalization (sCHR), overall and by age category. Evidence, prior information and associated uncertainty were analyzed in a Bayesian evidence synthesis framework. Using medically attended cases and estimates of the proportion of symptomatic cases medically attended, we estimated sCFR of 0.048% (95% credible interval, CI 0.026%-0.096%), sCIR of 0.239% (0.134%-0.458%), and sCHR of 1.44% (0.83%-2.64%). Using self-reported ILI, we obtained estimates approximately 7-9x lower. sCFR and sCIR appear to be highest in persons 18 and older, and lowest in children 5-17. sCHR appears to be lowest in persons 5-17; our data were too sparse to allow us to determine the group in which it was the highest. ConclusionsThese estimates suggest that an autumn-winter pandemic wave of pH1N1 with comparable severity per case could lead to a number of deaths in the range from considerably below that associated with seasonal influenza to slightly higher, but with greatest impact in young children and non-elderly adults. These estimates of impact depend on assumptions about total incidence of infection and would be larger if incidence of symptomatic infection were higher or shifted toward adults, if viral virulence increased, or if suboptimal treatment resulted from stress on the health care system; numbers would decrease if the proportion infected or symptomatic were lower.

Entities:  

Year:  2009        PMID: 20029614      PMCID: PMC2762775          DOI: 10.1371/currents.RRN1042

Source DB:  PubMed          Journal:  PLoS Curr        ISSN: 2157-3999


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4.  Hong Kong influenza: the epidemiologic features of a high school family study analyzed and compared with a similar study during the 1957 Asian influenza epidemic.

Authors:  L E Davis; G G Caldwell; R E Lynch; R E Bailey; T D Chin
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5.  Influenza and the winter increase in mortality in the United States, 1959-1999.

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7.  Transmissibility of 1918 pandemic influenza.

Authors:  Christina E Mills; James M Robins; Marc Lipsitch
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8.  Early epidemiological assessment of the virulence of emerging infectious diseases: a case study of an influenza pandemic.

Authors:  Hiroshi Nishiura; Don Klinkenberg; Mick Roberts; Johan A P Heesterbeek
Journal:  PLoS One       Date:  2009-08-31       Impact factor: 3.240

9.  Pandemic potential of a strain of influenza A (H1N1): early findings.

Authors:  Christophe Fraser; Christl A Donnelly; Simon Cauchemez; William P Hanage; Maria D Van Kerkhove; T Déirdre Hollingsworth; Jamie Griffin; Rebecca F Baggaley; Helen E Jenkins; Emily J Lyons; Thibaut Jombart; Wes R Hinsley; Nicholas C Grassly; Francois Balloux; Azra C Ghani; Neil M Ferguson; Andrew Rambaut; Oliver G Pybus; Hugo Lopez-Gatell; Celia M Alpuche-Aranda; Ietza Bojorquez Chapela; Ethel Palacios Zavala; Dulce Ma Espejo Guevara; Francesco Checchi; Erika Garcia; Stephane Hugonnet; Cathy Roth
Journal:  Science       Date:  2009-05-11       Impact factor: 47.728

10.  Estimation of the reproductive number and the serial interval in early phase of the 2009 influenza A/H1N1 pandemic in the USA.

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Journal:  Influenza Other Respir Viruses       Date:  2009-11       Impact factor: 4.380

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  16 in total

1.  2009 pandemic influenza A (H1N1): pathology and pathogenesis of 100 fatal cases in the United States.

Authors:  Wun-Ju Shieh; Dianna M Blau; Amy M Denison; Marlene Deleon-Carnes; Patricia Adem; Julu Bhatnagar; John Sumner; Lindy Liu; Mitesh Patel; Brigid Batten; Patricia Greer; Tara Jones; Chalanda Smith; Jeanine Bartlett; Jeltley Montague; Elizabeth White; Dominique Rollin; Rongbao Gao; Cynthia Seales; Heather Jost; Maureen Metcalfe; Cynthia S Goldsmith; Charles Humphrey; Ann Schmitz; Clifton Drew; Christopher Paddock; Timothy M Uyeki; Sherif R Zaki
Journal:  Am J Pathol       Date:  2010-05-27       Impact factor: 4.307

2.  A computer simulation of vaccine prioritization, allocation, and rationing during the 2009 H1N1 influenza pandemic.

Authors:  Bruce Y Lee; Shawn T Brown; George W Korch; Philip C Cooley; Richard K Zimmerman; William D Wheaton; Shanta M Zimmer; John J Grefenstette; Rachel R Bailey; Tina-Marie Assi; Donald S Burke
Journal:  Vaccine       Date:  2010-05-16       Impact factor: 3.641

3.  Prioritization of delayed vaccination for pandemic influenza.

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4.  Targeted vs. systematic early antiviral treatment against A(H1N1)v influenza with neuraminidase inhibitors in patients with influenza-like symptoms: clinical and economic impact.

Authors:  Sylvie Deuffic-Burban; Xavier Lenne; Benoit Dervaux; Xavier Lemaire; Caroline Sloan; Fabrice Carrat; Jean-Claude Desenclos; Jean-Francois Delfraissy; Yazdan Yazdanpanah
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5.  Estimate of Novel Influenza A/H1N1 cases in Mexico at the early stage of the pandemic with a spatially structured epidemic model.

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6.  Optimizing allocation for a delayed influenza vaccination campaign.

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8.  Modeling the critical care demand and antibiotics resources needed during the Fall 2009 wave of influenza A(H1N1) pandemic.

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Journal:  PLoS Curr       Date:  2009-12-07

Review 9.  The first influenza pandemic of the new millennium.

Authors:  Gabriele Neumann; Yoshihiro Kawaoka
Journal:  Influenza Other Respir Viruses       Date:  2011-02-28       Impact factor: 4.380

10.  Optimal H1N1 vaccination strategies based on self-interest versus group interest.

Authors:  Eunha Shim; Lauren Ancel Meyers; Alison P Galvani
Journal:  BMC Public Health       Date:  2011-02-25       Impact factor: 3.295

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