Assessing the impact of the russian war in Ukraine on COVID-19 transmission in Spain: a machine learning-based study
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Hu, B., Guo, H., Zhou, P. and Shi, Z.-L. Characteristics of SARS-CoV-2 and COVID-19. Nature Reviews Microbiology, 2020, vol. 19, iss. 19, pp. 1–14. DOI: 10.1038/s41579-020-00459-7.
Greco, M., Campagna, M., Cricelli, L., Grimaldi, M. and Strazzullo, S. COVID-19-related innovations: A study on underlying motivations and inter-organizational collaboration. Industrial Marketing Management, 2022, vol. 106, pp. 58–70. DOI: 10.1016/j.indmarman.2022.07.014.
Hossain, M., Abdulla, F. and Rahman, A. Challenges and difficulties faced in low- and middle-income countries during COVID-19. Health Policy OPEN, 2022, vol. 3, article no. 100082. DOI: 10.1016/j.hpopen.2022.100082.
Zhang, S.-X., Yang, M., Zheng, J.-X., Zhang, B.-Q., Pan, C.-H. and Tian, L.-G. Comprehensive strategies and measures to control COVID-19. Infectious Diseases of Poverty, 2022, vol. 11, iss. 1, article no. 67. DOI: 10.1186/s40249-022-00994-w.
Kim, S. COVID-19 Drug Development. Journal of Microbiology and Biotechnology, 2022, vol. 32, iss. 1, pp. 1-5. DOI: 10.4014/jmb.2110.10029.
Vitiello, A., Ferrara, F., Troiano, V. and La Porta, R. COVID-19 vaccines and decreased transmission of SARS-CoV-2. Inflammopharmacology, 2021, vol. 29, iss. 5, pp. 1357-1360. DOI: 10.1007/s10787-021-00847-2.
da Silva, J.G., Silva, C.S., Alexandre, B. and Morgado, P. Education as a Predictor Factor for Knowledge of COVID-19 in Portugal. Frontiers in Public Health, 2021, vol. 9, article no. 680726. DOI: 10.3389/fpubh.2021.680726.
Meniailov, I., Krivtsov, S. and Chumachenko, T. Dimensionality Reduction of Diabetes Mellitus Patient Data Using the T-Distributed Stochastic Neighbor Embedding. Lecture Notes in Network and Systems, 2022, vol. 536, pp. 86-95. DOI: 10.1007/978-3-031-20141-7_9.
Fedushko, S. and Ustyianovych, T. E-Commerce Customers Behavior Research Using Cohort Analysis: A Case Study of COVID-19. Journal of Open Innovation: Technology, Market, and Complexity, 2022, vol. 8, iss. 1, article no. 12. DOI: 10.3390/joitmc8010012.
Davidich, N., Chumachenko, I., Davidich, Y., Taisiia, H., Artsybasheva, N. and Tatiana, M. Advanced Traveller Information Systems to Optimizing Freight Driver Route Selection. 2020 13th International Conference on Developments in eSystems Engineering (DeSE), 2020, pp. 111-115. DOI: 10.1109/DeSE51703.2020.9450763.
Radutniy, R., Nechyporenko, A., Alekseeva, V., Titova, G., Bibik, D. and Gargin, V. V. Automated Measurement of Bone Thickness on SCT Sections and Other Images. 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP), 2020, pp. 222-226. DOI: 10.1109/DSMP47368.2020.9204289.
Bazilevych, K., Butkevych, M. and Padalko, H. Classification of Cardiovascular Disease Using AdaBoost Method. Lecture Notes in Networks and Systems, 2022, vol. 536, pp. 107–114. DOI: 10.1007/978-3-031-20141-7_11.
Ju, X., Zhu, Y., Wang, Y., Li, J., Zhang, J., Gong, M., Ren, W., Li, S., Zhong, J., Zhang, L., Zhang, Q.C., Zhang, R. and Ding, Q. A novel cell culture system modeling the SARS-CoV-2 life cycle. PLOS Pathogens, 2021, vol. 17, iss. 3, article no. e1009439. DOI: 10.1371/journal.ppat.1009439.
Badi, H., Badi, I., Moutaouakil, K.E., Khamjane, A. and Bahri, A. Sentiment analysis and prediction of polarity vaccines based on Twitter data using deep NLP techniques. Radioelectronic and Computer Systems, 2022, no. 4, pp. 19–29. DOI: 10.32620/reks.2022.4.02.
Mohammadi, A., Meniailov, I., Bazilevych, K., Yakovlev, S. and Chumachenko, D. Comparative study of linear regression and SIR models of COVID-19 propagation in Ukraine before vaccination. Radioelectronic and Computer Systems, 2021, no. 3, pp. 5–18. DOI: 10.32620/reks.2021.3.01
Strilets, V., Donets, V., Ugryumov, M., Artiuch, S., Zelenskyi, R. and Goncharova, T. Agent-oriented data clustering for medical monitoring. Radioelectronic and computer systems, 2022, no. 1, pp.103–114. DOI: 10.32620/reks.2022.1.08.
Babaiev, V. M., Kadykova, I. M., Husieva, Yu. Yu. and Chumachenko, I. V. The method of adaptation of a project-oriented organization’s strategy to exogenous changes. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 2017, no. 2, pp.134–140.
Ramírez, C. and Durón, R. M. The Russia-Ukraine war could bring catastrophic public-health challenges beyond COVID-19. International Journal of Infectious Diseases, 2022, vol. 120, pp. 44-45. DOI: 10.1016/j.ijid.2022.04.016.
Ukraine Emergency: The United Nations Refugee Agency, 2022. Available at: https://www.unhcr.org/ukraine-emergency.html (accessed at 10.01.2023).
UNHCR. Operational Data Portal. Ukraine Refugee Station: The United Nations Refugee Agency, 2022. Available at: https://data.unhcr.org/en/situations/ukraine (accessed: 10.01.2023).
McBryde, E. S., Meehan, M. T., Adegboye, O. A., Adekunle, A. I., Caldwell, J. M., Pak, A., Rojas, D. P., Williams, B. M. and Trauer, J. M. Role of modelling in COVID-19 policy development. Paediatric Respiratory Reviews, 2020, vol. 35, pp. 57-60. DOI: 10.1016/j.prrv.2020.06.013.
Martínez, V. A Modified SIRD Model to Study the Evolution of the COVID-19 Pandemic in Spain. Symmetry, 2021, vol. 13, iss. 4, article no. 723. DOI: 10.3390/sym13040723.
Kumar, P., Erturk, V. S. and Murillo-Arcila, M. A new fractional mathematical modelling of COVID-19 with the availability of vaccine. Results in Physics, 2021, vol. 24, article no. 104213. DOI: 10.1016/j.rinp.2021.104213.
Ghosh, S., Samanta, G. and Nieto, J. J. Application of non-parametric models for analyzing survival data of COVID-19 patients. Journal of Infection and Public Health, 2021, vol. 14, iss. 10, pp. 1328–1333. DOI: 10.1016/j.jiph.2021.08.025.
Morillas, F. and Valero, J. Random resampling numerical simulations applied to a SEIR compartmental model. The European Physical Journal Plus, 2021, vol. 136, iss. 10, article no. 1067. DOI: 10.1140/epjp/s13360-021-02003-9.
Matabuena, M., Rodríguez-Mier, P., García-Meixide, C. and Leborán, V. COVID-19: Estimation of the transmission dynamics in Spain using a stochastic simulator and black-box optimization techniques. Computer Methods and Programs in Biomedicine, 2021, vol. 211, article no. 106399. DOI: 10.1016/j.cmpb.2021.106399.
Murphy, C., Laurence, E. and Allard, A. Deep learning of contagion dynamics on complex networks. Nature Communications, 2021, vol. 12, iss. 1, article no. 4720. DOI: 10.1038/s41467-021-24732-2.
Guzmán-Merino, M., Durán, C., Marinescu, M.-C., Delgado-Sanz, C., Gomez-Barroso, D., Carretero, J. and Singh, D. E. Assessing population-sampling strategies for reducing the COVID-19 incidence. Computers in Biology and Medicine, 2021, vol. 139, article no. 104938. DOI: 10.1016/j.compbiomed.2021.104938.
Carballosa, A., Balsa-Barreiro, J., Garea, A., García-Selfa, D., Miramontes, Á. and Muñuzuri, A. P. Risk evaluation at municipality level of a COVID-19 outbreak incorporating relevant geographic data: the study case of Galicia. Scientific Reports, 2021, vol. 11, iss. 1, article no. 21248. DOI: 10.1038/s41598-021-00342-2.
Canga, A. and Bidegain, G. Modelling the Effect of the Interaction between Vaccination and Nonpharmaceutical Measures on COVID-19 Incidence. Global Health, 2022, vol. 2022, pp. 1-15. DOI: 10.1155/2022/9244953.
Merino, M. G., Marinescu, M, C. and Singh, D. E. Evaluating the spread of Omicron COVID-19 variant in Spain. 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2022, pp. 999-1006. DOI: 10.1109/CCGrid54584.2022.00122.
Kumar, P., Erturk, V. S., Nisar, K. S., Jamshed, W. and Mohamed, M. S. Fractional dynamics of 2019-nCOV in Spain at different transmission rate with an idea of optimal control problem formulation. Alexandria Engineering Journal, 2022, vol. 61, iss. 3, pp. 2204–2219. DOI: 10.1016/j.aej.2021.07.005.
Garcia-Vicuña, D., Esparza, L. and Mallor, F. Hospital preparedness during epidemics using simulation: the case of COVID-19. Central European Journal of Operations Research, 2021, vol. 30, iss. 1, pp. 213–249. DOI: 10.1007/s10100-021-00779-w.
Carpio, A. and Pierret, E. Uncertainty quantification in Covid-19 spread: Lockdown effects. Results in Physics, 2022, vol. 35, article no. 105375. DOI: 10.1016/j.rinp.2022.105375.
Carballosa, A., Balsa-Barreiro, J. et al. Assessing the risk of pandemic outbreaks across municipalities with mathematical descriptors based on age and mobility restrictions. Chaos, Solitons & Fractals, 2022, vol. 160, article no. 112156. DOI: 10.1016/j.chaos.2022.112156.
Pájaro, M., Fajar, N. M., Alonso, A. A. and Otero-Muras, I. Stochastic SIR model predicts the evolution of COVID-19 epidemics from public health and wastewater data in small and medium-sized municipalities: A one year study. Chaos, Solitons & Fractals, 2022, vol. 164, article no. 112671. DOI: 10.1016/j.chaos.2022.112671.
Clement, J. C., Ponnusamy, V., Sriharipriya, K. C. and Nandakumar, R. A Survey on Mathematical, Machine Learning and Deep Learning Models for COVID-19 Transmission and Diagnosis. IEEE Reviews in Biomedical Engineering, 2022, vol. 15, pp. 325-340. DOI: 10.1109/RBME.2021.3069213.
Worldometer. Worldometers – real time world statistics, 2022. Available at: https://www.worldometers.info/ (accessed: 10.01.2023).
The Lancet Public Health. COVID-19 in Spain: a predictable storm? The Lancet Public Health, 2020, vol. 5, iss. 11, article no. e568. DOI: 10.1016/S2468-2667(20)30239-5.
Mars, L., Arroyo, R. and Ruiz, T. Mobility and wellbeing during the covid-19 lockdown. evidence from spain. Transportation Research Part A: Policy and Practice, 2022, vol. 161, pp. 107-129. DOI: 10.1016/j.tra.2022.05.004.
Carriedo, Dr. A., Cecchini, P. Dr. J. A., Fernandez-Rio, Dr. J. and Méndez-Giménez, Dr. A. COVID-19, Psychological Well-being and Physical Activity Levels in Older Adults during the Nationwide Lockdown in Spain. The American Journal of Geriatric Psychiatry, 2020, vol. 28, iss. 11, pp. 1146-1155. DOI: 10.1016/j.jagp.2020.08.007.
Hoffmann, C. and Wolf, E. SARS-CoV-2 seroprevalence in Spain. The Lancet, 2020, vol. 396, iss. 10261, article no. 1484. DOI: 10.1016/S0140-6736(20)32272-8.
Martínez-de-Quel, Ó., Suárez-Iglesias, D., López-Flores, M. and Pérez, C.A. Physical Activity, Dietary Habits and Sleep Quality Before and During COVID-19 Lockdown: A Longitudinal Study. Appetite, 2020, vol. 158, article no. 105019. DOI: 10.1016/j.appet.2020.105019.
White, T.M., Cash-Gibson, L., Martin-Moreno, J. M., Matesanz, R., Crespo, J., Alfonso-Sanchez, J. L., Villapol, S., El-Mohandes, A. and Lazarus, J. V. COVID-SCORE Spain: public perceptions of key government COVID-19 control measures. European Journal of Public Health, 2021, vol. 31, iss. 5, pp. 1095-1102. DOI: 10.1093/eurpub/ckab066.
Bielecki, M., Patel, D., Hinkelbein, J., Komorowski, M., Kester, J., Ebrahim, S., Rodriguez-Morales, A.J., Memish, Z.A. and Schlagenhauf, P. Air travel and COVID-19 prevention in the pandemic and peri-pandemic period: a narrative review. Travel Medicine and Infectious Disease, 2020, vol. 39, article no. 101915. DOI: 10.1016/j.tmaid.2020.101915.
Roel, E., Raventós, B., Burn, E., Pistillo, A., Prieto-Alhambra, D. and Duarte-Salles, T. Socioeconomic Inequalities in COVID-19 Vaccination and Infection in Adults, Catalonia, Spain. Emerging Infectious Diseases, 2022, vol. 28, iss. 11, pp. 2243–2252. DOI: 10.3201/eid2811.220614.
Statista. Ukraine War Casualties 2022, 2022. Available at: https://www.statista.com/statistics/1293492/ukraine-war-casualties/ (accessed: 10.01.2023).
Ukraine: civilian casualty update 6 February 2023: Office of the high commissioner for human rights, 2023. Available at: https://www.ohchr.org/en/news/2023/02/ukraine-civilian-casualty-update-6-february-2023 (accessed: 10.02.2023).
The Lancet. Russia’s invasion of Ukraine: an attack on health. The Lancet, 2023, vol. 401, iss. 10377, article no. 617. DOI: 10.1016/S0140-6736(23)00387-2.
WHO Ukraine crisis response: January 2023 bulletin, 2023. Available at: https://www.who.int (accessed: 10.02.2023).
Chumachenko, D., Pyrohov, P., Meniailov, I. and Chumachenko, T. Impact of war on COVID-19 pandemic in Ukraine: the simulation study. Radioelectronic and computer systems, 2022, vol. 2, pp. 6–23. DOI: 10.32620/reks.2022.2.01
Ukraine. Internal Displacement Report. General Population Survey Round 12 (16 - 23 January 2023). Displacement Tracking Matrix: International Organization for Migration, 2023. Available at: https://dtm.iom.int (accessed: 10.02.2023).
Coronavirus Resource Center. Johns Hop-kins University & Medicine, 2020. Available at: https://coronavirus.jhu.edu/ (accessed 10.01.2023).
WHO COVID-19 Dashboard. Geneva: World Health Organization, 2020. Available at: https://covid19.who.int/ (accessed 10.01.2023).
Izonin, I., Tkachenko, R., Vitynskyi, P., Zub, K., Tkachenko, P. and Dronyuk, I. Stacking-based GRNN-SGTM Ensemble Model for Prediction Tasks. 2020 International Conference on Decision Aid Sciences and Application (DASA), 2020, pp. 326-330. DOI: 10.1109/DASA51403.2020.9317124.
Rahman, Md. S. and Chowdhury, A. H. A data-driven eXtreme gradient boosting machine learning model to predict COVID-19 transmission with meteorological drivers. PLOS ONE, 2022, vol. 17, iss, 9, article no. e0273319. DOI: 10.1371/journal.pone.0273319.
Chen, T. and Guestrin, C. XGBoost: A Scalable Tree Boosting System. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD ’16, 2016, pp. 785–794. DOI: 10.1145/2939672.2939785.
Spain: Over 130 000 refugees from Ukraine granted temporary protection: European Website on Integration, 2022. Available at: https://ec.europa.eu/migrant-integration/news/spain-over-130-000-refugees-ukraine-granted-temporary-protection_en (accessed: 10.01.2023).
Strategy for early detection, surveillance and monitoring of Covid-19. Updated 1 December 2021 (Ministry of Health, Spain): Resources to sup-port community and institutional Long-Term Care responses to COVID-19, 2021. Available at: https://ltccovid.org/resources/strategy-for-early-detection-surveillance-and-monitoring-of-covid-19-updated-1-december-2021-ministry-of-health-spain/ (accessed: 10.01.2023).
DOI: https://doi.org/10.32620/reks.2023.1.01
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