IDEAS home Printed from https://ideas.repec.org/a/sae/globus/v21y2020i3p607-625.html
   My bibliography  Save this article

Why Do COVID-19 Fatality Rates Differ Across Countries? An Explorative Cross-country Study Based on Select Indicators

Author

Listed:
  • Arindam Banik
  • Tirthankar Nag
  • Sahana Roy Chowdhury
  • Rajashri Chatterjee

Abstract

In this article, we analyse the factors that determine the fatality rates across 29 economies spread across both the developing and developed world. Recent emerging literature and expert opinions in popular media have indicated various factors that may explain cross-country difference in fatality rates. These factors range from access to public health infrastructure, BCG vaccination policies, demographic structure, restrictive policy interventions and the weather. In addition, articles are examining different kinds of fatality rates that can be explained. Progressing beyond fragmented databases and anecdotal evidence, we have developed a database for such factors, have explored various econometric models to test the explanatory power of these factors in explaining several kinds of fatality rates. Based on available data, our study reveals that factors such as public health system, population age structure, poverty level and BCG vaccination are powerful contributory factors in determining fatality rates. Interactions between factors such as poverty level and BCG vaccination provide interesting insights into the complex interplay of factors. Our analysis suggests that poor citizens’ access to the public healthcare system are worse in many countries irrespective of whether they are developed or developing countries.

Suggested Citation

  • Arindam Banik & Tirthankar Nag & Sahana Roy Chowdhury & Rajashri Chatterjee, 2020. "Why Do COVID-19 Fatality Rates Differ Across Countries? An Explorative Cross-country Study Based on Select Indicators," Global Business Review, International Management Institute, vol. 21(3), pages 607-625, June.
  • Handle: RePEc:sae:globus:v:21:y:2020:i:3:p:607-625
    DOI: 10.1177/0972150920929897
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0972150920929897
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0972150920929897?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jennifer Beam Dowd & Liliana Andriano & David M. Brazel & Valentina Rotondi & Per Block & Xuejie Ding & Yan Liu & Melinda C. Mills, 2020. "Demographic science aids in understanding the spread and fatality rates of COVID-19," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(18), pages 9696-9698, May.
    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. James Davies, 2021. "Economic Inequality and Covid-19 Death Rates in the First Wave, a Cross-Country Analysis," CESifo Working Paper Series 8957, CESifo.
    2. Anasuya Haldar & Narayan Sethi, 2021. "The Effect of Country-level Factors and Government Intervention on the Incidence of COVID-19," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 1(2), pages 1-4.
    3. Das, Ramesh Chandra, 2020. "Forecasting incidences of COVID-19 using Box-Jenkins method for the period July 12-Septembert 11, 2020: A study on highly affected countries," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    4. Munim Kumar Barai, 2021. "COVID 19 in South Asia and the Way Forward: An Introduction," South Asian Survey, , vol. 28(1), pages 7-19, March.
    5. Giménez, Víctor & Prior, Diego & Thieme, Claudio & Tortosa-Ausina, Emili, 2024. "International comparisons of COVID-19 pandemic management: What can be learned from activity analysis techniques?," Omega, Elsevier, vol. 122(C).
    6. Koppiahraj Karuppiah & Bathrinath Sankaranarayanan & Syed Mithun Ali, 2022. "Modeling Impacts of COVID-19 in Supply Chain Activities: A Grey-DEMATEL Approach," Sustainability, MDPI, vol. 14(21), pages 1-21, October.
    7. Ramesh Behl & Manit Mishra, 2020. "COVID-19 Lifecycle: Predictive Modelling of States in India," Global Business Review, International Management Institute, vol. 21(4), pages 883-891, August.
    8. Carolyn Chisadza & Matthew Clance & Rangan Gupta, 2021. "Government Effectiveness and the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(6), pages 1-15, March.
    9. Munim K. Barai & Saikat Dhar, 2024. "COVID-19 Pandemic: Inflicted Costs and Some Emerging Global Issues," Global Business Review, International Management Institute, vol. 25(3), pages 812-831, June.
    10. Peter Kurrild-Klitgaard, 2024. "Size isn’t everything: COVID-19 and the role of government," Public Choice, Springer, vol. 200(1), pages 25-42, July.
    11. Okafor, Luke & Yan, Eric, 2022. "Covid-19 vaccines, rules, deaths, and tourism recovery," Annals of Tourism Research, Elsevier, vol. 95(C).
    12. Lorenzo Pratici & Phillip McMinn Singer, 2021. "COVID-19 Vaccination: What Do We Expect for the Future? A Systematic Literature Review of Social Science Publications in the First Year of the Pandemic (2020–2021)," Sustainability, MDPI, vol. 13(15), pages 1-18, July.
    13. Pongou, Roland & Tchuente, Guy & Tondji, Jean-Baptiste, 2021. "Optimally Targeting Interventions in Networks during a Pandemic: Theory and Evidence from the Networks of Nursing Homes in the United States," GLO Discussion Paper Series 957, Global Labor Organization (GLO).
    14. Bhanwar Singh & Rosy Dhall & Sahil Narang & Savita Rawat, 2024. "The Outbreak of COVID-19 and Stock Market Responses: An Event Study and Panel Data Analysis for G-20 Countries," Global Business Review, International Management Institute, vol. 25(3), pages 606-631, June.
    15. Roland Pongou & Guy Tchuente & Jean-Baptiste Tondji, 2021. "Optimally Targeting Interventions in Networks during a Pandemic: Theory and Evidence from the Networks of Nursing Homes in the United States," Papers 2110.10230, arXiv.org.

    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. Jorge Paz, 2020. "Notas sobre la demografía del COVID-19 en Argentina," Working Papers 22, Instituto de Estudios Laborales y del Desarrollo Económico (IELDE) - Universidad Nacional de Salta - Facultad de Ciencias Económicas, Jurídicas y Sociales.
    2. Battiston, Pietro & Gamba, Simona, 2021. "COVID-19: R0 is lower where outbreak is larger," Health Policy, Elsevier, vol. 125(2), pages 141-147.
    3. Laliotis, Ioannis & Minos, Dimitrios, 2022. "Religion, social interactions, and COVID-19 incidence in Western Germany," European Economic Review, Elsevier, vol. 141(C).
    4. Nepomuceno, Marília, 2020. "Vulnerable groups at increased risk of COVID-19 in sub-Saharan Africa: The case of the HIV population," OSF Preprints uyzjv, Center for Open Science.
    5. Hensel, Lukas & Witte, Marc & Caria, A. Stefano & Fetzer, Thiemo & Fiorin, Stefano & Götz, Friedrich M. & Gomez, Margarita & Haushofer, Johannes & Ivchenko, Andriy & Kraft-Todd, Gordon & Reutskaja, El, 2022. "Global Behaviors, Perceptions, and the Emergence of Social Norms at the Onset of the COVID-19 Pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 473-496.
    6. Aydogan, Yigit, 2020. "Are Covid-19 Cases Independent of the City Sizes?," MPRA Paper 99697, University Library of Munich, Germany.
    7. Anthony Medford & Sergi Trias-Llimós, 2020. "Population age structure only partially explains the large number of COVID-19 deaths at the oldest ages," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(19), pages 533-544.
    8. Nicola Borri & Francesco Drago & Chiara Santantonio & Francesco Sobbrio, 2021. "The “Great Lockdown”: Inactive workers and mortality by Covid‐19," Health Economics, John Wiley & Sons, Ltd., vol. 30(10), pages 2367-2382, September.
    9. Chenghe Guan & Junjie Tan & Brian Hall & Chao Liu & Ying Li & Zhichang Cai, 2022. "The Effect of the Built Environment on the COVID-19 Pandemic at the Initial Stage: A County-Level Study of the USA," Sustainability, MDPI, vol. 14(6), pages 1-17, March.
    10. Gerritse, Michiel, 2022. "COVID-19 transmission in cities," European Economic Review, Elsevier, vol. 150(C).
    11. Giorgi, Julien & Boertien, Diederik, 2020. "The potential impact of co-residence structures on socio-demographic inequalities in COVID-19 mortality," SocArXiv 84ygx, Center for Open Science.
    12. 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.
    13. Ghasemi, Abdolrasoul & Boroumand, Yasaman & Shirazi, Masoud, 2020. "How do governments perform in facing COVID-19?," MPRA Paper 99791, University Library of Munich, Germany, revised 20 Apr 2020.
    14. Ugofilippo Basellini & Carlo Giovanni Camarda, 2020. "Modelling COVID-19 mortality at the regional level in Italy," Working Papers axq0sudakgkzhr-blecv, French Institute for Demographic Studies.
    15. Imdad, Kashif & Sahana, Mehebub & Rana, Md Juel & Haque, Ismail & Patel, Priyank Pravin & Pramanik, Malay, 2020. "The COVID-19 pandemic's footprint in India: An assessment on the district-level susceptibility and vulnerability," MPRA Paper 100727, University Library of Munich, Germany.
    16. Martin Eichenbaum & Miguel Godinho de Matos & Francisco Lima & Sergio Rebelo & Mathias Trabandt, 2024. "Expectations, Infections, and Economic Activity," Journal of Political Economy, University of Chicago Press, vol. 132(8), pages 2571-2611.
    17. Damiano Uccheddu & Ester Lucia Rizzi & Jessica Kelley, 2023. "Intergenerational Ties and COVID-19 Contagion: A Study on European Adults Aged 50 Years and Older Using SHARE Data," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 78(4), pages 749-763.
    18. Lawrence M Berger & Giulia Ferrari & Marion Leturcq & Lidia Panico & Anne Solaz, 2021. "COVID-19 lockdowns and demographically-relevant Google Trends: A cross-national analysis," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-28, March.
    19. Nicodemo, Catia & Barzin, Samira & Lasserson, Daniel S. & Moscone, Francesco & Redding, Stuart & Shaikh, Mujaheed & Cavalli, Nicolò, 2020. "Measuring Geographical Disparities in England at the Time of COVID-19: Results Using a Composite Indicator of Population Vulnerability," IZA Discussion Papers 13757, Institute of Labor Economics (IZA).
    20. Ruoyu Wang & Qihua Wang, 2022. "Determination and estimation of optimal quarantine duration for infectious diseases with application to data analysis of COVID‐19," Biometrics, The International Biometric Society, vol. 78(2), pages 691-700, June.

    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:sae:globus:v:21:y:2020:i:3:p:607-625. 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: SAGE Publications (email available below). General contact details of provider: http://www.imi.edu/ .

    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.