Approaches for forecasting of socioeconomic impacts to the spread of COVID-19 with territorial differences of Russian regions

Dmitry Devyatkin; Yulia Otmakhova; Natalia Usenko

doi:10.1051/e3sconf/202130102002

All issues

Volume 301 (2021)

E3S Web Conf., 301 (2021) 02002

References

Open Access

Issue		E3S Web Conf. Volume 301, 2021 VI International Scientific Conference “Territorial Inequality: a Problem or Development Driver” (REC-2021)


Article Number		02002
Number of page(s)		7
Section		COVID-19 as a New Factor of Territorial Inequality
DOI		https://doi.org/10.1051/e3sconf/202130102002
Published online		06 August 2021

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[1] M. Nicola, Z. Alsafi, C. Sohrabi, A. Kerwan, A. Al-Jabir, C. Iosifidis, M. Agha, R. Agha, International journal of surgery, 78, 185-193 (2020). [Google Scholar]

[2] I. Chakraborty, P. Maity, Science of the Total Environment, 728, 138882 (2020). [Google Scholar]

[3] A. Tretuakov, K. Danilova, Theory and practice of World Science, 6, 23-32 (2020). [Google Scholar]

[4] C. Gros, R. Valenti, L. Schneider, K. Valenti, D. Gros “Strategies for controlling the medical and socio-economic costs of the Corona pandemic” ArXiv preprint arXiv: 2004.00493 (2020). [Google Scholar]

[5] D. Allain-Dupré, I. Chatry, V. Michalun, A. Moisio “The territorial impact of COVID-19: Managing the crisis across levels of government”. OECD (2020). [Google Scholar]

[6] Y. Xiong, Y. Wang, F. Chen, M. Zhu. International journal of environmental research and public health, 17(11), 3903 (2020). [Google Scholar]

[7] J. P. A. Ioannidis, S. Cripps, M. A. Tanner, International journal of forecasting (2020). [Google Scholar]

[8] S. Kumar et al. Forecasting major impacts of COVID-19 pandemic on country-driven sectors: challenges, lessons, and future roadmap. In Personal and Ubiquitous Computing, 1-24 (2021). [Google Scholar]

[9] D. Štifanić et al., Complexity, 2020 (2020). [Google Scholar]

[10] S. P. Zemtsov, V. L. Baburin, Regional Research of Russia, 10(3), 273-290 (2020). [Google Scholar]

[11] S. Gordeev, Socium and authority, 5(85), 32-50 (2020). [Google Scholar]

[12] O. Dranko, O. Loginovskiy, S. Prikazchikov Proceedings of South-Ural State University, 21(1), 90-101 (2021). [Google Scholar]

[13] P. Lavrinenko, A. Romashina, P. Stepanov, P. Chistyakov, Studies on Russian Economic Development, 6(30), 692-699 (2019). [Google Scholar]

[14] COVID-19 demographic and economy impact dataset. URL: https://github.com/masterdoors/COVID_data (2020). [Google Scholar]

[15] T. Lin et al. IEEE Transactions on Neural Networks, 7(6), 1329-1338 (1996). [PubMed] [Google Scholar]

[16] A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, I. Polosukhin Attention is all you need. arXiv preprint arXiv: 1706.03762 (2017). [Google Scholar]

[17] S. Li, X. Jin, Y. Xuan, X. Zhou, W. Chen, Y. X. Wang, X. Yan, Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting. arXiv preprint arXiv: 1907.00235 (2019). [Google Scholar]