COVID-19 pandemic decision support system for a population defense strategy and vaccination effectiveness
Journal article
Authors | Varotsos, Costas A, Krapivin, Vladimir F, Xue, Yong, Soldatov, Vladimir and Voronova, Tatiana |
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Abstract | The year 2020 ended with a significant COVID-19 pandemic, which traumatized almost many countries where the lockdowns were restored, and numerous emotional social protests erupted. According to the World Health Organization, the global epidemiological situation in the first months of 2021 deteriorated. In this paper, the decision-making supporting system (DMSS) is proposed to be an epidemiological prediction tool. COVID-19 trends in several countries and regions, take into account the big data clouds for important geophysical and socio-ecological characteristics and the expected potentials of the medical service, including vaccination and restrictions on population migration both within the country and international traffic. These parameters for numerical simulations are estimated from officially delivered data that allows the verification of theoretical results. The numerical simulations of the transition and the results of COVID-19 are mainly based on the deterministic approach and the algorithm for processing statistical data based on the instability indicator. DMSS has been shown to help predict the effects of COVID-19 depending on the protection strategies against COVID-19 including vaccination. Numerical simulations have shown that DMSS provides results using accompanying information in the appropriate scenario. |
Keywords | Safety Research; safety risk; reliability; quality |
Year | 2021 |
Journal | Safety Science |
Journal citation | 142, p. 105370 |
Publisher | Elsevier BV |
ISSN | 0925-7535 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.ssci.2021.105370 |
Web address (URL) | http://hdl.handle.net/10545/625897 |
https://www.elsevier.com/tdm/userlicense/1.0/ | |
http://creativecommons.org/licenses/by/4.0/ | |
hdl:10545/625897 | |
Publication dates | 05 Jun 2021 |
Publication process dates | |
Deposited | 27 Jul 2021, 09:12 |
Accepted | 31 May 2021 |
Rights | © 2021 Elsevier Ltd. All rights reserved. |
Attribution 4.0 International | |
Contributors | National and Kapodistrian University of Athens, Athens, Greece, Kotelnikov’s Institute of Radioengineering and Electronics, Fryazino Branch, Russian Academy of Sciences, Vvedensky 1, Fryazino, Moscow Region 141190, Russian Federation, University of Mining and Technology, Xuzhou, Jiangsu 221116, PR China and University of Derby |
File | File Access Level Open |
File | File Access Level Open |
https://repository.derby.ac.uk/item/949x8/covid-19-pandemic-decision-support-system-for-a-population-defense-strategy-and-vaccination-effectiveness
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