Covid-19’s Economic and Healthcare Correlations to Leading Affected Countries: A Statistical Assessment
Abstract:
In this study, we conducted a statistical assessment
of the economic and healthcare issues of leading countries affected due to the Covid-19
pandemic. We sought to consider the pandemic's progressive components, including
the total tests, total cases, total deaths, total recoveries, and the total number
of active cases. We also investigated the population dispersion, health index, and
annual per capita income of the target countries. Real-time information regarding
the topics is gathered from reputable institutional websites across the world, then
organized and analyzed using statistical techniques. Both the graphical and tabular
approaches are employed to present statistical manifestations. While some countries
are shown to be in the leading position for most of the target issues, some inconsistencies
are observed among a few. Concerning the annual per capita income and health index
of the target countries, the Covid-19 components are not very relevant, but there
is a slight similarity when looking at the overall population. Interestingly, regions
with very low population densities show a higher prevalence of Covid-19. No discernible
trend is attained from Bangladesh's perspective.
References:
[1] Shang, Y.,
Li, H., & Zhang, R. (2021). Effects of pandemic outbreak on economies: evidence
from business history context. Frontiers in Public Health, 9, 632043.
[2] OECD (2021):
Health at a Glance 2021: OECD Indicators, OECD Publishing, Paris, France.
[3] Kaye, A.
D., Okeagu, C. N., Pham, A. D., Silva, R. A., Hurley, J. J., Arron, B. L., &
Cornett, E. M. (2021). Economic impact of Covid-19 pandemic on healthcare facilities
and systems: International perspectives. Best Practice & Research Clinical Anaesthesiology,
35(3), 293-306.
[4] Vo, T. D.,
& Tran, M. D. (2021). The impact of Covid-19 pandemic on global trade. International
Journal of Social Science and Economics Invention, 7(1), 1-7.
[5] Donthu, N., & Gustafsson,
A. (2020). Effects of Covid-19 on business and research. Journal of business research,
117, 284-289.
[6] Almeida,
F., Santos, J. D., & Monteiro, J. A. (2020). The challenges and opportunities
in the digitalization of companies in a post-Covid-19 World. IEEE Engineering Management
Review, 48(3), 97-103.
[7] Ali, I.,
& Alharbi, O. M. (2020). Covid-19: Disease, management, treatment, and social
impact. Science of the total Environment, 728, 138861.
[8] Ciotti,
M., Ciccozzi, M., Terrinoni, A., Jiang, W. C., Wang, C. B., & Bernardini, S.
(2020). The Covid-19 pandemic. Critical reviews in clinical laboratory sciences,
57(6), 365-388.
[9] Li, H., Li, H., Ding, Z.,
Hu, Z., Chen, F., Wang, K., ... & Shen, H. (2020). Spatial statistical analysis
of coronavirus disease 2019 (Covid-19) in China. Geospatial Health, 15(1).
[10] Alkhowailed, M., Shariq,
A., Alqossayir, F., Alzahrani, O. A., Rasheed, Z., & Al Abdulmonem, W. (2020).
Impact of meteorological parameters on Covid-19 pandemic: a comprehensive study
from Saudi Arabia. Informatics in medicine unlocked, 20, 100418.
[11] Sadiq, I. A., Sharma, S.
K., & Ado, R. (2020). Statistical analysis of future prospective in Covid-19
cases in India. International Journal of Engineering Research & Technology,
9(11), 627-631.
[12] Fawad, M., Mubarik, S., Malik,
S. S., & Ren, J. (2021). Statistical analysis of Covid-19 infection caused by
environmental factors: Evidence from Pakistan. Life Sciences, 269,
119093.
[13] Cuadros, D. F., Branscum,
A. J., Mukandavire, Z., Miller, F. D., & MacKinnon, N. (2021). Dynamics of the
Covid-19 epidemic in urban and rural areas in the United States. Annals of epidemiology,
59, 16-20.
[14] Wilasang, C., Jitsuk, N.
C., Sararat, C., & Modchang, C. (2022). Reconstruction of the transmission dynamics
of the first Covid-19 epidemic wave in Thailand. Scientific Reports, 12(1),
2002.
[15] Uddin, M., Shawpnil, K.,
Mugdha, S. B. S., & Ahmed, A. (2023). A Statistical Synopsis of Covid-19 Components
and Descriptive Analysis of Their Socio-Economic and Healthcare Aspects in Bangladesh
Perspective. Journal of Environmental and Public Health, 2023.
[16] Mugdha, S. B. S., Uddin,
M., & Islam, M. (2021). Extended epidemiological models for weak economic region:
Case studies of the spreading of Covid-19 in the South Asian subcontinental countries.
BioMed Research International, 2021.
[17] Uddin, M.,
Mugdha, S. B. S., Shermin, T., & Chowdhury, K. N. (2022). An Improved Epidemiological
Model for the Underprivileged People in Contemporary Pandemics. BioMed Research
International, 2022.
[18] Padhan,
R., & Prabheesh, K. P. (2021). The economics of Covid-19 pandemic: A survey.
Economic analysis and policy, 70, 220-237.
[19] Spinelli,
A., & Pellino, G. (2020). Covid-19 pandemic: perspectives on an unfolding crisis.
Journal of British Surgery, 107(7), 785-787.
[20] Yıldırım,
M., & Güler, A. (2022). Factor analysis of the Covid-19 Perceived Risk Scale:
A preliminary study. Death studies, 46(5), 1065-1072.