Analyzing the Economic Impact of the COVID-19 Pandemic: Insights from Data Analytics

Main Article Content

Abhinay Yada

Abstract

This research paper employs data analytics to analyze the economic impact of the COVID-19 pandemic. The study delves into comprehensive data sets to gain insights into the various facets of the economic repercussions triggered by the pandemic. Key areas of focus include the effects on industries, labor markets, and global trade. The analysis utilizes statistical models and trends to understand the dynamics of economic shifts during the pandemic. The findings contribute valuable insights for policymakers, businesses, and researchers seeking a deeper understanding of the economic challenges posed by the global health crisis.

Downloads

Download data is not yet available.

Article Details

How to Cite
Analyzing the Economic Impact of the COVID-19 Pandemic: Insights from Data Analytics . (2023). International Journal of Creative Research In Computer Technology and Design, 5(5), 1-15. https://jrctd.in/index.php/IJRCTD/article/view/39
Section
Articles

How to Cite

Analyzing the Economic Impact of the COVID-19 Pandemic: Insights from Data Analytics . (2023). International Journal of Creative Research In Computer Technology and Design, 5(5), 1-15. https://jrctd.in/index.php/IJRCTD/article/view/39

References

Baker, S. R., Bloom, N., Davis, S. J., & Terry, S. J. (2020). COVID-induced economic uncertainty. National Bureau of Economic Research. https://doi.org/10.3386/w26983

Gössling, S., Scott, D., & Hall, C. M. (2020). Tourism and water: Interactions and impacts. Channel View Publications.

McKibbin, W., & Fernando, R. (2020). The economic impact of COVID-19. Economics in the Time of COVID-19, 45–52. https://doi.org/10.15185/izawol.528

Alon, T., Doepke, M., Olmstead-Rumsey, J., & Tertilt, M. (2020). This time it's different: The role of women's employment in a pandemic recession. National Bureau of Economic Research. https://doi.org/10.3386/w27660

Baldwin, R., & Tomiura, E. (2020). Thinking ahead about the trade impact of COVID-19. Economics in the Time of COVID-19, 59–65. https://doi.org/10.15185/izawol.533

Keesara, S., Jonas, A., & Schulman, K. (2020). Covid-19 and health care's digital revolution. New England Journal of Medicine, 382(23), e82. https://doi.org/10.1056/NEJMp2005835

Chor, D., Manova, K., & Yu, Z. (2020). Global supply chains in the pandemic. National Bureau of Economic Research. https://doi.org/10.3386/w27842

Baker, S. R., Farrokhnia, R. A., Meyer, S., Pagel, M., & Yannelis, C. (2020). Income, liquidity, and the consumption response to the 2020 economic stimulus payments. National Bureau of Economic Research. https://doi.org/10.3386/w27097

Altig, D., Baker, S. R., Barrero, J. M., Bloom, N., Bunn, P., Chen, S., ... & Moench, E. (2020). Economic uncertainty before and during the COVID-19 pandemic. Journal of Public Economics, 191, 104274. https://doi.org/10.1016/j.jpubeco.2020.104274

Dorn, F., Zafar, B., Sahm, C. R., & Roth, L. M. (2020). Expectations about COVID-19 social-distancing measures in markets. National Bureau of Economic Research. https://doi.org/10.3386/w26982

Cutler, D. M., & Summers, L. H. (2020). The COVID-19 pandemic and the $16 trillion virus. JAMA, 324(15), 1495–1496. https://doi.org/10.1001/jama.2020.19759

Acemoglu, D., Chernozhukov, V., Werning, I., & Whinston, M. D. (2020). Optimal targeted lockdowns in a multi-group SIR model. National Bureau of Economic Research. https://doi.org/10.3386/w27102

He, Z., & Yang, S. (2020). Distributional impact of the coronavirus crisis: A preliminary study on the immediate economic fallout. Journal of Asian Economics, 70, 101142. https://doi.org/10.1016/j.asieco.2020.101142

Hale, T., Angrist, N., Goldszmidt, R., Kira, B., Petherick, A., Phillips, T., ... & Webster, S. (2020). A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nature Human Behaviour, 5(4), 529–538. https://doi.org/10.1038/s41562-021-01079-8

IMF. (2020). World Economic Outlook, October 2020: A Long and Difficult Ascent. International Monetary Fund. https://www.imf.org/en/Publications/WEO/Issues/2020/09/30/world-economic-outlook-october-2020

Pansara, R. R. (2021). Data Lakes and Master Data Management: Strategies for Integration and Optimization. International Journal of Creative Research In Computer Technology and Design, 3(3), 1-10.

Pansara, R. R. (2022). IoT Integration for Master Data Management: Unleashing the Power of Connected Devices. International Meridian Journal, 4(4), 1-11.

Pansara, R. R. (2022). Cybersecurity Measures in Master Data Management: Safeguarding Sensitive Information. International Numeric Journal of Machine Learning and Robots, 6(6), 1-12.

Pansara, R. R. (2022). Edge Computing in Master Data Management: Enhancing Data Processing at the Source. International Transactions in Artificial Intelligence, 6(6), 1-11.

Pettersson, H., & Wallensteen, P. (2020). Armed conflicts, 1946–2019. Journal of Peace Research, 57(4), 597–613. https://doi.org/10.1177/0022343320934221

World Bank. (2021). Global Economic Prospects, January 2021: Rebounding from the Pandemic. World Bank. https://www.worldbank.org/en/publication/global-economic-prospects

Atkeson, A. (2020). What will be the economic impact of COVID-19 in the US? Rough estimates of disease scenarios (No. w26867). National Bureau of Economic Research. https://doi.org/10.3386/w26867

Alvarez, F. E., Argente, D., & Lippi, F. (2020). A simple planning problem for COVID-19 lockdown (No. w26981). National Bureau of Economic Research. https://doi.org/10.3386/w26981

Fang, H., Wang, L., & Yang, Y. (2020). Human mobility restrictions and the spread of the novel coronavirus (2019-ncov) in China. National Bureau of Economic Research. https://doi.org/10.3386/w26906

Atluri, H., & Thummisetti, B. S. P. (2023). Optimizing Revenue Cycle Management in Healthcare: A Comprehensive Analysis of the Charge Navigator System. International Numeric Journal of Machine Learning and Robots, 7(7), 1-13.

Atluri, H., & Thummisetti, B. S. P. (2022). A Holistic Examination of Patient Outcomes, Healthcare Accessibility, and Technological Integration in Remote Healthcare Delivery. Transactions on Latest Trends in Health Sector, 14(14).

Pansara, R. R. (2020). NoSQL Databases and Master Data Management: Revolutionizing Data Storage and Retrieval. International Numeric Journal of Machine Learning and Robots, 4(4), 1-11.

Pansara, R. R. (2020). Graph Databases and Master Data Management: Optimizing Relationships and Connectivity. International Journal of Machine Learning and Artificial Intelligence, 1(1), 1-10.