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Excess influenza hospital admissions and costs due to the 2009 H1N1 pandemic in England

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  • Krystal Lau
  • Katharina Hauck
  • Marisa Miraldo

Abstract

Influenza pandemics considerably burden affected health systems due to surges in inpatient admissions and associated costs. Previous studies underestimate or overestimate 2009/2010 influenza A/H1N1 pandemic hospital admissions and costs. We robustly estimate overall and age‐specific weekly H1N1 admissions and costs between June 2009 and March 2011 across 170 English hospitals. We calculate H1N1 admissions and costs as the difference between our administrative data of all influenza‐like‐illness patients (seasonal and pandemic alike) and a counterfactual of expected weekly seasonal influenza admissions and costs established using time‐series models on prepandemic (2004–2008) data. We find two waves of H1N1 admissions: one pandemic wave (June 2009–March 2010) with 10,348 admissions costing £20.5 million and one postpandemic wave (November 2010–March 2011) with 11,775 admissions costing £24.8 million. Patients aged 0–4 years old have the highest H1N1 admission rate, and 25‐ to 44‐ and 65+‐year‐olds have the highest costs. Our estimates are up to 4.3 times higher than previous reports, suggesting that the pandemic's burden on hospitals was formerly underassessed. Our findings can help hospitals manage unexpected surges in admissions and resource use due to pandemics.

Suggested Citation

  • Krystal Lau & Katharina Hauck & Marisa Miraldo, 2019. "Excess influenza hospital admissions and costs due to the 2009 H1N1 pandemic in England," Health Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 175-188, February.
  • Handle: RePEc:wly:hlthec:v:28:y:2019:i:2:p:175-188
    DOI: 10.1002/hec.3834
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    1. Anne M Presanis & Daniela De Angelis & The New York City Swine Flu Investigation Team 3 ¶ & Angela Hagy & Carrie Reed & Steven Riley & Ben S Cooper & Lyn Finelli & Paul Biedrzycki & Marc Lipsitch, 2009. "The Severity of Pandemic H1N1 Influenza in the United States, from April to July 2009: A Bayesian Analysis," PLOS Medicine, Public Library of Science, vol. 6(12), pages 1-12, December.
    2. Frederick Chen & Amanda Griffith & Allin Cottrell & Yue-Ling Wong, 2013. "Behavioral Responses to Epidemics in an Online Experiment: Using Virtual Diseases to Study Human Behavior," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-10, January.
    3. Fan, Victoria Y & Jamison, Dean T & Summers, Lawrence H, 2018. "Pandemic risk: how large are the expected losses?," Scholarly Articles 35014363, Harvard Kennedy School of Government.
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    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Ewan Gray’s journal round-up for 27th April 2020
      by Ewan Gray in The Academic Health Economists' Blog on 2020-04-27 11:00:00

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    Cited by:

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    2. Fraser Summerfield & Livio Di Matteo, 2021. "Influenza Pandemics and Macroeconomic Fluctuations in Recent Economic History," Working Papers 210002, Canadian Centre for Health Economics.
    3. Ian M. Trotter & Lu'is A. C. Schmidt & Bruno C. M. Pinto & Andrezza L. Batista & J'essica Pellenz & Maritza Isidro & Aline Rodrigues & Attawan G. S. Suela & Loredany Rodrigues, 2020. "COVID-19 and Global Economic Growth: Policy Simulations with a Pandemic-Enabled Neoclassical Growth Model," Papers 2005.13722, arXiv.org, revised Jun 2020.
    4. Doran, Áine & Colvin, Christopher L. & McLaughlin, Eoin, 2024. "What can we learn from historical pandemics? A systematic review of the literature," Social Science & Medicine, Elsevier, vol. 342(C).
    5. Peter Sivey & Richard McAllister & Hassan Vally & Anna Burgess & Anne-Maree Kelly, 2019. "Anatomy of a demand shock: Quantitative analysis of crowding in hospital emergency departments in Victoria, Australia during the 2009 influenza pandemic," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-11, September.
    6. E.V. Popov, 2021. "Drivers of the Economy in the Context of the Coronavirus Pandemic," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(1), pages 5-30.
    7. Emilio Gutierrez & Adrian Rubli, 2021. "Shocks to Hospital Occupancy and Mortality: Evidence from the 2009 H1N1 Pandemic," Management Science, INFORMS, vol. 67(9), pages 5943-5952, September.

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