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The role of socioeconomic variables in the regional inequalities of COVID-19 mortality in Hungary

Author

Listed:
  • Balázs PAGER

    (University of Vienna, Austria)

  • Csaba G. TOTH

    (HUN-REN Centre for Economic and Regional Studies, Institute of Economics, Budapest, Hungary)

  • Annamária UZZOLI

    (HUN-REN Research Centre for Astronomy and Earth Sciences, Geographical Institute, Budapest, Hungary)

Abstract
Hungary is one of the five countries in the World which were most affected by the pandemic in terms of registered COVID-19 mortality up to 2023. Our research aims to identify those socioeconomic variables that explain the geographical distribution of registered district-level COVID-19 mortality in Hungary. Using OLS and spatial regression, we found that the higher share of elderly people and respiratory death rate were associated with a more severe mortality burden. Educational attainment was negatively associated with COVID-19 mortality. Variables related to healthcare access were not found to be significantly associated with district-level COVID-19 mortality. Our results indicated that the spatial term of COVID-19 mortality is significant. Positive spatial autocorrelation can be observed in some less developed districts and a few inner peripheral areas where COVID-19 mortality was relatively high, and relatively developed areas like the agglomeration area of the capital in which COVID-19 mortality was low.

Suggested Citation

  • Balázs PAGER & Csaba G. TOTH & Annamária UZZOLI, 2024. "The role of socioeconomic variables in the regional inequalities of COVID-19 mortality in Hungary," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 15, pages 272-297, June.
    • Handle: RePEc:jes:journl:y:2024:v:15:p:272-297
    DOI: https://doi.org/10.47743/ejes-2024-0112
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    References listed on IDEAS

    as
    1. Everton Emanuel Campos de Lima & Ezra Gayawan & Emerson Augusto Baptista & Bernardo Lanza Queiroz, 2021. "Spatial pattern of COVID-19 deaths and infections in small areas of Brazil," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-12, February.
    2. Sasikiran Kandula & Jeffrey Shaman, 2021. "Investigating associations between COVID-19 mortality and population-level health and socioeconomic indicators in the United States: A modeling study," PLOS Medicine, Public Library of Science, vol. 18(7), pages 1-17, July.
    3. Javier Cifuentes-Faura, 2021. "COVID-19 Mortality Rate and Its Incidence in Latin America: Dependence on Demographic and Economic Variables," IJERPH, MDPI, vol. 18(13), pages 1-10, June.
    Full references (including those not matched with items on IDEAS)

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