Sophia University, Japan
* Corresponding author
Sophia University, Japan

Article Main Content

The coronavirus disease (COVID-19) pandemic has caused a huge loss of life and impaired public health worldwide. The finding that countries with high human development indices (HDIs) is associated with higher death rates during COVID-19 reported in earlier research is confusing. To clarify this significant problem, we explored the correlations and associations between the COVID-19 mortality rate and HDI based on updated data (until April 1, 2022) in 41 high-income countries across the world. The outcomes demonstrate: (a) a strong negative correlation between COVID-19 mortality rate and HDI; and (b) a significant (p = 0.013) negative association between COVID-19 mortality rate and HDI after controlling for health heterogeneities including aging population, full vaccination rate, GDP per capita, UHC, out-of-pocket burden, and stringency index. This paper concludes that reductions in the COVID-19 mortality rate depend to a great extent on the enhancement of human development capacity. Therefore, to better protect global public health, improving human development capacity should be a vital priority for all countries, whether in the present or in the future.

References

  1. Agustina, R.,Dartanto, T.,Sitompul, R.,Susiloretni, K. A.,Suparmi, M. K. M., Achad, E. L., et al. (2019). Universal health coverage in Indonesia: Concept, progress, and challenges. Lancet,393(10166), 75-102. https://doi.org/10.1016/S0140-6736(18)31647-7.
     Google Scholar
  2. Bhowmik, T., Tirtha, S. D., Iraganaboina,N. C., &Eluru, N. (2021). A comprehensive analysis of COVID-19 transmission and mortality rates at the county level in the United States considering socio-demographics, health indicators, mobility trends and health care infrastructure attributes. PLoS One. https://doi.org/10.1371/journal.pone.0249133Buheji.
     Google Scholar
  3. M., Alderazi, A., Ahmed, D., Bragazzi, N., Jahrami, H., Hamadeh, R., & Bahammam, A. (2022). The association between the initial outcomes of COVID-19 and the human development index: An ecological study. Human Systems Management, 41(2), 303-313. 10.3233/HSM-210005.
     Google Scholar
  4. Chandrasiri, J., Anuranga, C., Wickramasinghe, R., & Rannan Eliya, R. P. (2012). The impact of out-of-pocket expenditures on poverty and inequalities in use of maternal and child health services in Bangladesh: Evidence from the Household Income and Expenditure Surveys 2000–2010 RETA–6515 Country Brief. Asian Development Bank.
     Google Scholar
  5. Goutte,S., Péran,T., & Porcher,T. (2020). The role of economic structural factors in determining pandemic mortality rates: Evidence from the COVID-19 outbreak in France.Research in International Business and Finance, 54, 101281. doi:10.1016/j.ribaf.
     Google Scholar
  6. Ji, Y., Ma, Z., Peppelenbosch, M. P., & Pan, Q. (2020). Potential association between COVID-19 mortality and health-care resource availability. Lancet Global Health, 8(4). doi:10.1016/S2214-109X (20).
     Google Scholar
  7. Liu,K., Mu H., Zhuang, Z., He, D., & Li, H. (2020).Unexpected positive correlation between human development index and risk of infections and deaths of COVID-19 in Italy.One Health, 10,100174.https://doi.org/10.1016/j.onehlt.2020.100174.
     Google Scholar
  8. Pardhan,S., & Drydakis,N. (2021). Associating the change in newCOVID-19 cases to GDP per capita in 38 European countries in the first wave of the pandemic. Frontiers in Public Health,8, 582140. DOI=10.3389/fpubh.2020.582140.
     Google Scholar
  9. Ranabhat, C. L., Atkinson, J., Park, M.-B., Kim, C.-B., & Jakovljevic, M. (2018). The influence of universal health coverage on life expectancy at birth (LEAB) and healthy life expectancy (HALE): A multi-country cross-sectional study. Frontiers in Pharmacology, 9, 960. DOI=10.3389/fphar.2018.00960.
     Google Scholar
  10. Troumbis, A. Y. (2021). Testing the socioeconomic determinants of COVID-19 pandemic hypothesis with aggregated Human DevelopmentIndex. Journal of Epidemiology and Community Health, 75, 414-415. http://dx.doi.org/10.1136/jech-2020-215986.
     Google Scholar
  11. Tudorache Maria-Daniela. (2020). Examining the Drivers of Human Development in European Union. 35th IBIMA Conference. April 2020. World Health Organization. (2022). WHO coronavirus (COVID-19) dashboard. https://covid19.who.int/table.
     Google Scholar
  12. Xu, S., Huang, R., Sy, L. S., Glenn, S. C., Ryan, D. S., Morrissette, K., et al. (2021). COVID-19 vaccination and non-COVID-19 mortality risk: Seven integrated health care organizations, United States, December 14, 2020-July 31, 2021. Morbidity and Mortality Weekly Report, 70(43), 1520-1524. doi:10.15585/mmwr.mm7043e2.
     Google Scholar
  13. Zalia E. Dorregaray Farge, Alonso Soto Tarazona, Jhonny A. De La Cruz-Vargas. (2021) Correlation between mortality due to COVID-19, wealth index, human development and population density in districts of Metropolitan Lima during 2020. Revista de la Facultad de Medicina Humana,21 (4). DOI: https://doi.org/10.25176/RFMH.v21i4.3987.
     Google Scholar