[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v73y2011i2p235-244.html
   My bibliography  Save this article

Estimating the economic impact of pandemic influenza: An application of the computable general equilibrium model to the UK

Author

Listed:
  • Smith, Richard D.
  • Keogh-Brown, Marcus R.
  • Barnett, Tony
Abstract
There is concern regarding the impact that a global infectious disease pandemic might have, especially the economic impact in the current financial climate. However, preparedness planning concentrates more upon population health and maintaining a functioning health sector than on the wider economic impact. We developed a single country Computable General Equilibrium model to estimate the economic impact of pandemic influenza (PI) and associated policies. While the context for this development was the United Kingdom, there are lessons to be drawn for application of this methodology, as well as indicative results, to other contexts. Disease scenarios were constructed from an epidemiological model which estimated case fatality rates (mild, moderate and severe) as 0.06%, 0.18% and 0.35%. A clinical attack rate of 35% was also used to produce influenza scenarios, together with preparedness policies, including antivirals and school closure, and the possible prophylactic absence of workers. UK cost estimates (in Sterling) are presented, together with relative percentage impacts applicable to similar large economies. Percentage/cost estimates suggest PI would reduce GDP by 0.3% (£3.5bn), 0.4% (£5bn) and 0.6% (£7.4bn) respectively for the three disease scenarios. However, the impact of PI itself is smaller than disease mitigation policies: combining school closure with prophylactic absenteeism yields percentage/cost effects of 1.1% (£14.7bn), 1.3% (£16.3bn) and 1.4% (£18.5bn) respectively for the three scenarios. Sensitivity analysis shows little variability with changes in disease parameters but notable changes with variations in school closure and prophylactic absenteeism. The most severe sensitivity scenario results in a 2.9% (£37.4bn), 3.2% (£41.4bn) and 3.7% (£47.5bn) loss to GDP respectively for the three scenarios.

Suggested Citation

  • Smith, Richard D. & Keogh-Brown, Marcus R. & Barnett, Tony, 2011. "Estimating the economic impact of pandemic influenza: An application of the computable general equilibrium model to the UK," Social Science & Medicine, Elsevier, vol. 73(2), pages 235-244, July.
  • Handle: RePEc:eee:socmed:v:73:y:2011:i:2:p:235-244
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953611003029
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jong-Wha Lee & Warwick J. McKibbin, 2004. "Globalization and Disease: The Case of SARS," Asian Economic Papers, MIT Press, vol. 3(1), pages 113-131.
    2. Drud, Arne & Grais, Wafik & Pyatt, Graham, 1986. "Macroeconomic modeling based on social-accounting principles," Journal of Policy Modeling, Elsevier, vol. 8(1), pages 111-145.
    3. Arndt, Channing & Robinson, Sherman & Tarp, Finn, 2002. "Parameter estimation for a computable general equilibrium model: a maximum entropy approach," Economic Modelling, Elsevier, vol. 19(3), pages 375-398, May.
    4. Bell, Clive & Gersbach, Hans, 2009. "The macroeconomics of targeting: the case of an enduring epidemic," Journal of Health Economics, Elsevier, vol. 28(1), pages 54-72, January.
    5. Lars Jonung & Werner Roeger, 2006. "The macroeconomic effects of a pandemic in Europe - A model-based assessment," European Economy - Economic Papers 2008 - 2015 251, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    6. Neil M. Ferguson & Derek A. T. Cummings & Christophe Fraser & James C. Cajka & Philip C. Cooley & Donald S. Burke, 2006. "Strategies for mitigating an influenza pandemic," Nature, Nature, vol. 442(7101), pages 448-452, July.
    7. Marcus Keogh-Brown & Richard Smith & John Edmunds & Philippe Beutels, 2010. "The macroeconomic impact of pandemic influenza: estimates from models of the United Kingdom, France, Belgium and The Netherlands," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(6), pages 543-554, December.
    8. Richard Smith, 2008. "Globalization: the key challenge facing health economics in the 21st century," Health Economics, John Wiley & Sons, Ltd., vol. 17(1), pages 1-3, January.
    9. Keogh-Brown, Marcus Richard & Smith, Richard David, 2008. "The economic impact of SARS: How does the reality match the predictions?," Health Policy, Elsevier, vol. 88(1), pages 110-120, October.
    10. Warwick McKibbin & Alexandra Sidorenko, 2006. "Global Macroeconomic Consequences of Pandemic Influenza," CAMA Working Papers 2006-26, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    11. Rutten, Martine & Reed, Geoffrey, 2009. "A comparative analysis of some policy options to reduce rationing in the UK's NHS: Lessons from a general equilibrium model incorporating positive health effects," Journal of Health Economics, Elsevier, vol. 28(1), pages 221-233, January.
    12. Smith, Richard D. & Yago, Milton & Millar, Michael & Coast, Jo, 2005. "Assessing the macroeconomic impact of a healthcare problem: The application of computable general equilibrium analysis to antimicrobial resistance," Journal of Health Economics, Elsevier, vol. 24(6), pages 1055-1075, November.
    13. Löfgren, Hans & Harris, Rebecca Lee & Robinson, Sherman, 2001. "A standard computable general equilibrium (CGE) model in GAMS," TMD discussion papers 75, International Food Policy Research Institute (IFPRI).
    14. Marcus R. Keogh‐Brown & Simon Wren‐Lewis & W. John Edmunds & Philippe Beutels & Richard D. Smith, 2010. "The possible macroeconomic impact on the UK of an influenza pandemic," Health Economics, John Wiley & Sons, Ltd., vol. 19(11), pages 1345-1360, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. George Verikios & Maura Sullivan & Pane Stojanovski & James Giesecke & Gordon Woo, 2016. "Assessing Regional Risks From Pandemic Influenza: A Scenario Analysis," The World Economy, Wiley Blackwell, vol. 39(8), pages 1225-1255, August.
    2. Tiberiu Cristian Avrămescu, 2020. "Assessments on the Effects of the Coronavirus Pandemic on the Economies of the Central and South-East European Union Countries," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 105-112, August.
    3. Marcus R. Keogh‐Brown & Simon Wren‐Lewis & W. John Edmunds & Philippe Beutels & Richard D. Smith, 2010. "The possible macroeconomic impact on the UK of an influenza pandemic," Health Economics, John Wiley & Sons, Ltd., vol. 19(11), pages 1345-1360, November.
    4. Marcus Keogh-Brown & Richard Smith & John Edmunds & Philippe Beutels, 2010. "The macroeconomic impact of pandemic influenza: estimates from models of the United Kingdom, France, Belgium and The Netherlands," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(6), pages 543-554, December.
    5. Ilan Noy & Tomáš Uher, 2022. "Economic consequences of pre-COVID-19 epidemics: a literature review," Chapters, in: Mark Skidmore (ed.), Handbook on the Economics of Disasters, chapter 7, pages 117-133, Edward Elgar Publishing.
    6. Verikios, George, 2017. "The Importance of Periodicity in Modelling Infectious Disease Outbreaks," Conference papers 332907, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    7. Verikios, George & Dixon, Peter B. & Rimmer, Maureen T. & Harris, Anthony H., 2015. "Improving health in an advanced economy: An economywide analysis for Australia," Economic Modelling, Elsevier, vol. 46(C), pages 250-261.
    8. Peter A.G. van Bergeijk, 2021. "Pandemic Economics," Books, Edward Elgar Publishing, number 20401.
    9. Pham, Tien Duc & Dwyer, Larry & Su, Jen-Je & Ngo, Tramy, 2021. "COVID-19 impacts of inbound tourism on Australian economy," Annals of Tourism Research, Elsevier, vol. 88(C).
    10. Hafner, Marco & Yerushalmi, Erez & Andersson, Fredrik L. & Burtea, Teodor, 2020. "Quantifying the macroeconomic cost of night-time bathroom visits: an application to the UK," CAFE Working Papers 5, Centre for Accountancy, Finance and Economics (CAFE), Birmingham City Business School, Birmingham City University.
    11. Joseph H. Cook, 2013. "Principles and standards for benefit–cost analysis of public health preparedness and pandemic mitigation programs," Chapters, in: Scott O. Farrow & Richard Zerbe, Jr. (ed.), Principles and Standards for Benefit–Cost Analysis, chapter 3, pages 110-152, Edward Elgar Publishing.
    12. Verikios, George & Sullivan, Maura & Stojanovski, Pane & Giesecke, James & Woo, Gordon, 2011. "The Global Economic Effects of Pandemic Influenza," Conference papers 332033, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    13. Ahmed, S. Amer & Baris, Enis & Go, Delfin S & Lofgren, Hans & Osorio Rodarte, Israel & Thierfelder, Karen, 2017. "Assessing the Global Economic and Poverty Effects of Antimicrobial Resistance," Conference papers 332903, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    14. Ahmed, Syud Amer & Barış, Enis & Go, Delfin S. & Lofgren, Hans & Osorio-Rodarte, Israel & Thierfelder, Karen, 2018. "Assessing the global poverty effects of antimicrobial resistance," World Development, Elsevier, vol. 111(C), pages 148-160.
    15. George Verikios & James McCaw & Jodie McVernon & Anthony Harris, 2010. "H1N1 influenza in Australia and its macroeconomic effects," Centre of Policy Studies/IMPACT Centre Working Papers g-212, Victoria University, Centre of Policy Studies/IMPACT Centre.
    16. David E. Bloom & Michael Kuhn & Klaus Prettner, 2022. "Modern Infectious Diseases: Macroeconomic Impacts and Policy Responses," Journal of Economic Literature, American Economic Association, vol. 60(1), pages 85-131, March.
    17. 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).
    18. Judith Kabajulizi, 2013. "Macroeconomic Implications Of Health Sector Reforms In Uganda: A Computable General Equilibrium Analysis," EcoMod2013 5158, EcoMod.
    19. Eddy Bekkers & Robert B. Koopman, 2022. "Simulating the trade effects of the COVID‐19 pandemic: Scenario analysis based on quantitative trade modelling," The World Economy, Wiley Blackwell, vol. 45(2), pages 445-467, February.
    20. Deliana Kostova & Cynthia H. Cassell & John T. Redd & Desmond E. Williams & Tushar Singh & Lise D. Martel & Rebecca E. Bunnell, 2019. "Long‐distance effects of epidemics: Assessing the link between the 2014 West Africa Ebola outbreak and U.S. exports and employment," Health Economics, John Wiley & Sons, Ltd., vol. 28(11), pages 1248-1261, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:73:y:2011:i:2:p:235-244. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.