Skip to main navigation Skip to search Skip to main content

Global Mortality Estimates for the 2009 Influenza Pandemic from the GLaMOR Project: A Modeling Study

  • Lone Simonsen
  • , Peter Spreeuwenberg
  • , Roger Lustig
  • , Robert J. Taylor
  • , Douglas M. Fleming
  • , Madelon Kroneman
  • , Maria D. Van Kerkhove
  • , Anthony W. Mounts
  • , W. John Paget
  • , Horacio Echenique
  • , Vilma Savy
  • , David Muscatello
  • , C. Raina MacIntyre
  • , Dominic E. Dwyer
  • , Eduardo Azziz-Baumgartner
  • , Nusrat Homaira
  • , Fernanda Edna Araújo Moura
  • , Cynthia Schuck
  • , Holy Akwar
  • , Dena Schanzer
  • Rodrigo Fuentes, Andrea Olea, Viviana Sotomayor, Luzhao Feng, Hongjie Yu, Anne Mazick, Kåre Mølbak, Jens Nielsen, Fabrice Carrat, Magali Lemaitre, Udo Buchholz, Brunhilde Schweiger, Michael Höhle, Silvan Vesenbeckh, Ben Cowling, Gabriel Leung, Thomas Tsang, Shuk Kwan Chuang, Michal Bromberg, Zalman Kaufman, Norio Sugaya, Kuniko Oka Ezoe, Shuichiro Hayashi, Megumi Matsuda, Hugo Lopez-Gatell, Celia Alpuche-Aranda, Daniel Noyola, Gerardo Chowell, Liselotte van Asten, Adam Meijer, Kees van den Wijngaard, Marianne van der Sande, Michael Baker, Jane Zhang, Jorge Gómez Benavides, César Munayco, Alberto Laguna-Torres, Daniel Rabczenko, Bogdan Wojtyniak, Sun Hee Park, Yeon Kyeng Lee, Laurentiu Zolotusca, Odette Popovici, Rodica Popescu, Li Wei Ang, Jeffery Cutter, Raymond Lin, Stefan Ma, Mark Chen, Vernon J. Lee, Katarina Prosenc, Maja Socan, Cheryl Cohen, Amparo Larrauri, Salvador de Mateo, Lorena Simón Méndez, Concha Delgado Sanz, Nick Andrews, Helen K. Green, Richard Pebody, Ayoub Saei, David Shay, Cecile Viboud
  • George Washington University
  • Sage Analytica
  • Netherlands Institute for Health Services Research
  • Royal College of General Practitioners
  • Imperial College London
  • World Health Organization
  • Ministry of Health
  • National Influenza Center
  • New South Wales Ministry of Health
  • University of New South Wales
  • The University of Sydney
  • International Centre for Diarrhoeal Disease Research Bangladesh
  • Universidade Federal do Ceará
  • Origem Scientifica
  • Public Health Agency of Canada
  • Ministerio de Salud de Chile
  • Chinese Center for Disease Control and Prevention
  • Statens Serum Institut
  • Sorbonne Université
  • National Agency for the Safety of Medicine and Health Products
  • Robert Koch-Institut
  • Harvard University
  • Emil von Behring Hospital
  • The University of Hong Kong
  • Department of Health
  • Ministry of Health, Israel
  • Keiyu Hospital
  • Japan Ministry of Health, Labour and Welfare
  • Instituto Nacional de Salud Publica
  • Universidad Autonoma de San Luis Potosi
  • Arizona State University
  • National Institutes of Health
  • National Institute of Public Health and the Environment
  • Utrecht University
  • University of Otago
  • Ministerio de Salud, Lima
  • Uniformed University of Health Sciences
  • U.S. Naval Medical Research Unit No. 6 (NAMRU-6)
  • National Medicines Institute, Warsaw
  • Korea National Institute of Health
  • Ministry of Health
  • National Institute of Public Health
  • Ministry of Health, Government of Singapore
  • National University of Singapore
  • National Institute of Public Health
  • National Health Laboratory Services
  • Instituto de Salud Carlos III
  • UK Health Security Agency
  • Centers for Disease Control and Prevention

Research output: Contribution to journalArticlepeer-review

375 Scopus citations

Abstract

Background:Assessing the mortality impact of the 2009 influenza A H1N1 virus (H1N1pdm09) is essential for optimizing public health responses to future pandemics. The World Health Organization reported 18,631 laboratory-confirmed pandemic deaths, but the total pandemic mortality burden was substantially higher. We estimated the 2009 pandemic mortality burden through statistical modeling of mortality data from multiple countries.Methods and Findings:We obtained weekly virology and underlying cause-of-death mortality time series for 2005-2009 for 20 countries covering ∼35% of the world population. We applied a multivariate linear regression model to estimate pandemic respiratory mortality in each collaborating country. We then used these results plus ten country indicators in a multiple imputation model to project the mortality burden in all world countries. Between 123,000 and 203,000 pandemic respiratory deaths were estimated globally for the last 9 mo of 2009. The majority (62%-85%) were attributed to persons under 65 y of age. We observed a striking regional heterogeneity, with almost 20-fold higher mortality in some countries in the Americas than in Europe. The model attributed 148,000-249,000 respiratory deaths to influenza in an average pre-pandemic season, with only 19% in persons <65 y. Limitations include lack of representation of low-income countries among single-country estimates and an inability to study subsequent pandemic waves (2010-2012).Conclusions:We estimate that 2009 global pandemic respiratory mortality was ∼10-fold higher than the World Health Organization's laboratory-confirmed mortality count. Although the pandemic mortality estimate was similar in magnitude to that of seasonal influenza, a marked shift toward mortality among persons <65 y of age occurred, so that many more life-years were lost. The burden varied greatly among countries, corroborating early reports of far greater pandemic severity in the Americas than in Australia, New Zealand, and Europe. A collaborative network to collect and analyze mortality and hospitalization surveillance data is needed to rapidly establish the severity of future pandemics.Please see later in the article for the Editors' Summary.

Original languageEnglish
Article numbere1001558
JournalPLoS Medicine
Volume10
Issue number11
DOIs
StatePublished - Nov 2013
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'Global Mortality Estimates for the 2009 Influenza Pandemic from the GLaMOR Project: A Modeling Study'. Together they form a unique fingerprint.

Cite this