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The Domestic and International Impacts of the 2009-H1N1 Influenza A Pandemic: Global Challenges, Global Solutions: Workshop Summary (2010)
Board on Global Health (BGH)

Citation Manager

. "A7 The Severity of Pandemic H1N1 Influenza in the United States, from April to July 2009: A Bayesian Analysis." The Domestic and International Impacts of the 2009-H1N1 Influenza A Pandemic: Global Challenges, Global Solutions: Workshop Summary. Washington, DC: The National Academies Press, 2010.

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The Domestic and International Impacts of the 2009-H1N1 Influenza a Pandemic: Global Challenges, Global Solutions - Workshop Summary
Methods and Findings

We 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 (ILI) in New York—were used to estimate ratios of symptomatic cases to hospitalizations. Combining these data with estimates of the fraction detected for each level of severity, we estimated the proportion of symptomatic patients who 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 an 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 7–9 × lower. sCFR and sCIR appear to be highest in persons aged 18 y and older, and lowest in children aged 5–17 y. sCHR appears to be lowest in persons aged 5–17; our data were too sparse to allow us to determine the group in which it was the highest.

Conclusions

These 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 the greatest impact in children aged 0–4 and adults 18–64. 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 total proportion of the population symptomatically infected were lower than assumed.


Please see later in the article for the Editors’ Summary.

Introduction

The H1N1 2009 influenza (pH1N1) pandemic has resulted in over 209,000 laboratory-confirmed cases and over 3,205 deaths worldwide as of 11 September 2009 (http://www.who.int/csr/don/2009_09_11/en/index.html, accessed 14 Sep-

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Front Matter (R1-R22)
Workshop Overview (1-94)
Appendix A1 Technical Report for State and Local Public Health Officials and School Administrators on CDC Guidance for School (K-12) Responses to Influenza during the 2009-2010 School Year (95-110)
A2 Predicting Emerging Diseases in the Twenty-first Century: The Case of Zoonotic Influenza (111-119)
A3 The Spring 2009 Influenza A H1N1 Outbreak: A Local Public Health Perspective (120-136)
A4 I nternational Law and Equitable Access to Vaccines and Antivirals in the Context of 2009-H1N1 Influenza (137-154)
A5 In Vitro and In Vivo Characterization of New Swine-Origin H1N1 Influenza Viruses (155-190)
A6 Estimation of the Reproductive Number and the Serial Interval in Early Phase of the 2009 Influenza A⁄H1N1 Pandemic in the USA (191-207)
A7 The Severity of Pandemic H1N1 Influenza in the United States, from April to July 2009: A Bayesian Analysis (208-247)
A8 Hard Choices in Difficult Situations: Ethical Issues in Public Health Emergencies (248-268)
A9 Rumors of Pandemic: Monitoring Emerging Disease Outbreaks on the Internet (269-282)
A10 Preliminary Observation of the Epidemiology of Seasonal and Pandemic Influenza A (H1N1) in South Africa, 2009 (283-296)
A11 Reflections on the 1976 Swine Flu Vaccination Program (297-305)
A12 Southern Hemisphere, Northern Hemisphere: A Global Influenza World (306-326)
A13 Influenza (H1N1) Pandemic 2009 (327-341)
A14 Origins and Evolutionary Genomics of the 2009 Swine-Origin H1N1 Influenza A Epidemic (342-380)
Appendix B Agenda (381-385)
Appendix C Acronyms (386-388)
Appendix D Glossary (389-396)
Appendix E Forum Member Biographies (397-418)