IDEAS home Printed from https://ideas.repec.org/p/hka/wpaper/2020-041.html
   My bibliography  Save this paper

Effect of Universal TB Vaccination and Other Policy-Relevant Factors on the Probability of Patient Death from COVID-19

Author

Listed:
  • Amos Golan

    (American University and Santa Fe Institute)

  • Tinatin Mumladze
  • Danielle Wilson
  • Elissa Cohen
  • Troy McGuinness
  • William Mooney
  • Jisung Moon

Abstract

The possibility of reoccurring waves of the novel coronavirus that triggered the 2020 pandemic makes it critical to identify underlying policy-relevant factors that could be leveraged to decrease future COVID-19 death rates. We examined variation in a number of underlying, policy- relevant, country-level factors and COVID-19 death rates across countries. We found three such factors that significantly impact the survival probability of patients infected with COVID-19. In order of impact, these are universal TB (BCG) vaccination, air pollination deaths, and a health-related expenditure. We quantify each probability change by age and sex. To deal with small sample size and high correlations, we use an information-theoretic inferential method that also allows us to introduce priors constructed from independent SARS data.

Suggested Citation

  • Amos Golan & Tinatin Mumladze & Danielle Wilson & Elissa Cohen & Troy McGuinness & William Mooney & Jisung Moon, 2020. "Effect of Universal TB Vaccination and Other Policy-Relevant Factors on the Probability of Patient Death from COVID-19," Working Papers 2020-041, Human Capital and Economic Opportunity Working Group.
  • Handle: RePEc:hka:wpaper:2020-041
    Note: MIP
    as

    Download full text from publisher

    File URL: http://humcap.uchicago.edu/RePEc/hka/wpaper/Golan-et_al_2020_COVID-19_and_Potential_Policies_Report.pdf
    File Function: First Version, May 22, 2020
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Clay, Karen & Lewis, Joshua & Severnini, Edson, 2018. "Pollution, Infectious Disease, and Mortality: Evidence from the 1918 Spanish Influenza Pandemic," The Journal of Economic History, Cambridge University Press, vol. 78(4), pages 1179-1209, December.
    2. Alice Zwerling & Marcel A. Behr & Aman Verma & Timothy F Brewer & Dick Menzies & Madhukar Pai, 2011. "The BCG World Atlas: A Database of Global BCG Vaccination Policies and Practices," Working Papers id:3921, eSocialSciences.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Golan, Amos & Mumladze, Tinatin & Perloff, Jeffrey M. & Wilson, Danielle, 2023. "An Information-Theoretic Method for Identifying Effective Treatments and Policies at the Beginning of a Pandemic," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt8rj4m887, Department of Agricultural & Resource Economics, UC Berkeley.

    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. Arthi, Vellore & Parman, John, 2021. "Disease, downturns, and wellbeing: Economic history and the long-run impacts of COVID-19," Explorations in Economic History, Elsevier, vol. 79(C).
    2. Karen Clay & Joshua A. Lewis & Edson R. Severnini & Xiao Wang, 2020. "The Value of Health Insurance during a Crisis: Effects of Medicaid Implementation on Pandemic Influenza Mortality," NBER Working Papers 27120, National Bureau of Economic Research, Inc.
    3. Sandro Provenzano & Sefi Roth & Lutz Sager, 2024. "Air Pollution and Respiratory Infectious Diseases," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(5), pages 1127-1139, May.
    4. Amanda Guimbeau & Nidhiya Menon & Aldo Musacchio, 2022. "Short‐ and medium‐run health and literacy impacts of the 1918 Spanish Flu pandemic in Brazil," Economic History Review, Economic History Society, vol. 75(4), pages 997-1025, November.
    5. Correia, Sergio & Luck, Stephan & Verner, Emil, 2022. "Pandemics Depress the Economy, Public Health Interventions Do Not: Evidence from the 1918 Flu," The Journal of Economic History, Cambridge University Press, vol. 82(4), pages 917-957, December.
    6. Guidetti, Bruna & Pereda, Paula & Severnini, Edson R., 2020. "Health Shocks under Hospital Capacity Constraint: Evidence from Air Pollution in Sao Paulo, Brazil," IZA Discussion Papers 13211, Institute of Labor Economics (IZA).
    7. Guillaume Chapelle, 2022. "The medium-term impact of non-pharmaceutical interventions. The case of the 1918 influenza in US cities," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 37(109), pages 43-81.
    8. Philipp Ager & Katherine Eriksson & Ezra Karger & Peter Nencka & Melissa A. Thomasson, 2024. "School Closures during the 1918 Flu Pandemic," The Review of Economics and Statistics, MIT Press, vol. 106(1), pages 266-276, January.
    9. Clay, Karen & Lewis, Joshua & Severnini, Edson, 2019. "What explains cross-city variation in mortality during the 1918 influenza pandemic? Evidence from 438 U.S. cities," Economics & Human Biology, Elsevier, vol. 35(C), pages 42-50.
    10. Md S. Zaman & Robert C. Sizemore, 2021. "Diverse Manifestations of COVID-19: Some Suggested Mechanisms," IJERPH, MDPI, vol. 18(18), pages 1-10, September.
    11. Rui Esteves & Kris James Mitchener & Peter Nencka & Melissa A. Thomasson, 2022. "Do Pandemics Change Healthcare? Evidence from the Great Influenza," NBER Working Papers 30643, National Bureau of Economic Research, Inc.
    12. Sergi Basco & Jordi Domènech & Joan R. Rosés, 2022. "Unequal Mortality During the Spanish Flu," Palgrave Studies in Economic History, in: Pandemics, Economics and Inequality, chapter 0, pages 33-50, Palgrave Macmillan.
    13. Viktor Stojkoski & Zoran Utkovski & Petar Jolakoski & Dragan Tevdovski & Ljupco Kocarev, 2020. "Correlates of the country differences in the infection and mortality rates during the first wave of the COVID-19 pandemic: Evidence from Bayesian model averaging," Papers 2004.07947, arXiv.org, revised Jan 2022.
    14. Velde, François R., 2022. "What Happened to the U.S. Economy during the 1918 Influenza Pandemic? A View Through High-Frequency Data," The Journal of Economic History, Cambridge University Press, vol. 82(1), pages 284-326, March.
    15. 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).
    16. Guillaume Chapelle, 2020. "The medium-term impact of non-pharmaceutical interventions. The case of the 1918 influenza in US cities," Working Papers hal-03389177, HAL.
    17. Olexiy Kyrychenko, 2021. "The Impact of the Crisis-inducted Reduction in Air Pollution on Infant Mortality in India: A Policy Perspective," CERGE-EI Working Papers wp702, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    18. Paolo Contiero & Alessandro Borgini & Martina Bertoldi & Anna Abita & Giuseppe Cuffari & Paola Tomao & Maria Concetta D’Ovidio & Stefano Reale & Silvia Scibetta & Giovanna Tagliabue & Roberto Boffi & , 2022. "An Epidemiological Study to Investigate Links between Atmospheric Pollution from Farming and SARS-CoV-2 Mortality," IJERPH, MDPI, vol. 19(8), pages 1-12, April.
    19. Slusky, David J.G. & Zeckhauser, Richard J., 2021. "Sunlight and Protection Against Influenza," Economics & Human Biology, Elsevier, vol. 40(C).
    20. Pyali CHATTERJEE, 2022. "Covid-19 As A Boon Or Bane For Environment: A Socio-Legal Study," FIAT IUSTITIA, Dimitrie Cantemir Faculty of Law Cluj Napoca, Romania, vol. 17(2), pages 16-25, May.

    More about this item

    Keywords

    BCG vaccine; coronavirus; COVID-19; health expenditure; inference; information theory; policy; pollution level;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:hka:wpaper:2020-041. 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: Jennifer Pachon (email available below). General contact details of provider: https://edirc.repec.org/data/mfichus.html .

    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.