Barriers of COVID-19 vaccination in Ukraine during the war: the simulation study using ARIMA model
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Salian, V. S., Wright, J. A., Vedell, P. T., Nair, S., Li, C., Kandimalla, M., Tang, X., Porquera, E. M. C., Kalari, K. R., Kandimalla, K. K. COVID-19 transmission, current treatment, and future therapeutic strategies. Molecular pharmaceutics, 2021, vol. 18, iss. 3, pp. 754-771. DOI: 10.1021/acs.molpharmaceut.0c00608.
Mattoo, S. U. S., Myoung, J. A promising vaccination strategy against COVID-19 on the horizon: heterologous immunization. Journal of microbiology and biotechnology, 2021, vol. 21, iss. 12, pp. 1601-1614. DOI: 10.4014/jmb.2111.11026.
Skitsan, O., Meniailov, I., Bazilevych, K., Padalko, H. Evaluation of the informative features of cardiac studies diagnostic data using the Kullback method. CEUR Workshop Proceedings, 2021, vol. 2917, pp. 186-195.
Izonin, I., Tkachenko, R., Dronyuk, I., Tkachenko, P., Gregus, M., Rashkevych, M. Predictive modeling based on small data in clinical medicine: RBF-based additive input-doubling method. Mathematical Biosciences and Engineering, 2021, vol. 18, iss. 3, pp. 2599-2613. DOI: 10.3934/mbe.2021132.
Fedushko, S., Ustyianovych, T. E-commerce customers behavior research using cohort analysis: a case study of COVID-19. Journal of Open Innovation: Technology, Market, and Complexity, vol. 8, iss. 1, article id 12. DOI: 10.3390/joitmc8010012.
Davidich, N., Galkin, A., Iwan, S., Kijewska, K., Chumachenko, I., Davidich, Y. Monitoring of urban freight flows distribution considering the human factor. Sustainable Cities and Society, 2021, vol. 75, article id 103168. DOI: 10.1016/j.scs.2021.103168.
Gorbenko, A., Tarasyuk, O. Exploring timeout as a performance and availability factor of distributed replicated database systems. Radioelectronic and Computer Systems, 2020, no. 4, pp. 98-105. DOI: 10.32620/reks.2020.4.09.
WHO COVID-19 Dashboard. Geneva: World Health Organization, 2020. Available at: https://covid19.who.int/ (accessed 25.05.2022).
Chumachenko, D., Pyrohov, P., Meniailov, I., Chumachenko, T. Impact of war on COVID-19 pan-demic in Ukraine: the simulation study. Radioelectronic and Computer Systems, 2022, no. 2, pp. 6-23. DOI: 10.32620/reks.2022.2.01.
Boyko, D., Chumachenko, D., Chumachenko, T., Lvov, S., Lytovchenko, A., Muradyan, O., Zholtkevych, G. The concept of decisions support system to mitigate the COVID-19 pandemic consequences based on social and epidemic process intelligent analysis. CEUR Workshop Proceedings, 2021, vol. 3003, pp. 55-64.
Paul, A. K., Kuddus, A. Mathematical analysis of a COVID-19 model with double dose vaccination in Bangladesh. Results in Physics, 2022, vol. 35, article id 105392. DOI: 10.1016/j.rinp.2022.105392.
Diagne, M. L., Rwezaura, H., Tchoumi, S. Y., Tchuenche, J. M. A mathematical model of COVID-19 with vaccination and treatment. Computational and Mathematical Methods in Medicine, 2021, vol. 2021, article id 1250129. DOI: 10.1155/2021/1250129.
Steyn, N., Plank, M. J., Binny, R. N., Hendy, S. C., Lustig, A., Riddings, K. A COVID-19 vaccination model for Aotearoa New Zealand. Scientific Re-ports, 2022, vol. 12, article id 2720. DOI: 10.1038/s41598-022-06707-5.
Rani, M. D. M., Mohamed, N. A., Solehan, H. M., Ithnin, M., Ariffien, A. R., Isahak, I. Assessment of acceptability of the COVID-19 vaccine based on the health belief model among Malaysians-A qualitative approach. PLoS ONE, 2022, vol. 17, iss. 6, article id e0269059. DOI: 10.1371/journal.pone.0269059.
Mumtaz, G. R., El-Jardali, F., Jabbour, M., Hard, A., Abu-Raddad, L. J., Makhoul, M. Modeling the impact of COVID-19 vaccination in Lebanon: a call to speed-up vaccine roll out. Vaccines, 2021, vol. 9, iss. 7, article id 697. DOI: 10.3390/vaccines9070697.
Webb, G. A COVID-19 epidemic model predicting the effectiveness of vaccination in the US. Infectious Disease Reports, 2021, vol. 13, iss. 3, pp. 654-667. DOI: 10.3390/idr13030062.
Stollenwerk, N., Mar, J., Van-Dierdonck, J. B., Ibarronda, O., Estadilla, C., Aguiar, M. Modelling COVID-19 vaccine efficacy and coverage towards herd-immunity in the Basque Country, Spain. MedRxiv, 2021, article id ppmedrxiv-21260390. DOI: 10.1101/2021.07.12.21260390.
Maclntyre, C. R., Costantino, V., Trent, M. Modelling of COVID-19 vaccination strategies and herd immunity, in scenarios of limited and full vaccine supply in NSW, Australia. Vaccine, 2022, vol. 40, iss. 17, pp. 2506-2513. DOI: 10.1016/j.vaccine.2021.04.042.
Kahn, R., Holmdahl, I., Reddy, S., Jernigan, J., Mina, M. J., Slayton, R. B. Mathematical modeling to inform vaccination strategies and testing approaches for Coronavirus Disease 2019 (COVID-19) in Nursing Homes. Clinical Infectious Diseases, 2022, vol. 74, iss. 4, pp. 597-603. DOI: 10.1093/cid/ciab517.
Wagner, C. E., Saad-Roy, C. M., Grenfell, B. T. Modelling vaccination strategies for COVID-19. Nature Reviews Immunology, 2022, vol. 22, pp. 139-141. DOI: 10.1038/s41577-022-00687-3.
Saadi, N., Chi, Y. L., Ghosh, S., Eggo, R. M., McCarthy, C. V., Quaife, M., Dawa, J., Jit, M., Vassal, A. Models of COVID-19 vaccine prioritization: a systematic literature search and narrative review. BMC Medicine, 2021, vol. 19, article id 318. DOI: 10.1186/s12916-021-02190-3.
World Health Organization & United Nations Children’s Fund. Guidance on developing a national deployment and vaccination plan for COVID-19 vaccines: interim guidance, 2020, 76 p. Available at: https://apps.who.int/iris/handle/10665/336603 (accessed 25.05.2022).
Pro zatverdzhennia Dorozhnoi karty z vprovadzhennia vaktsyny vid hostroi respiratornoi khvoroby COVID-19, sprychynenoi koronavirusom SARS-CoV-2, i provedennia masovoi vaktsynatsii u vidpovid na pandemiiu COVID-19 v Ukraini u 2021-2022 rokakh [On approval of the Roadmap for the introduction of a vaccine against acute respiratory disease COVID-19 caused by the SARS-CoV-2 coronavirus and mass vaccination in response to the COVID-19 pandemic in Ukraine in 2021-2022]. Order of the Ministry of Health of Ukraine No. 3018 dated December 24, 2020.
World Health Organization. WHO SAGE roadmap for prioritizing uses of COVID-19 vaccines in the context of limited supply: an approach to inform planning and subsequent recommendations based on epidemiological setting and vaccine supply scenarios, 2020, 24 p. Available at: https://apps.who.int/iris/handle/10665/342917 (accessed 25.05.2022).
National Academies of Sciences, Engineering and Medicine. Framework for Equitable Allocation of COVID-19 Vaccine, 2020. 272 p. DOI: 10.17226/25917.
Box, G. E. P., Jenkins, G.M. Time series analysis: forecasting and control. 1970. 553 p.
Nekhaienko, O., Boyko, D., Chumachenko, T. Socio-group agents promoting vaccination against COVID-19: a comparative analysis of the positions of medical workers and blood plasma donors. Advances in Social Science, Education and Humanities Research, 2021, vol. 617, pp. 14-20. DOI: 10.2991/assehr.k.211218.003.
Boyko, D. M., Nekhaienko, O. V. Dyskurs vaktsynatsii vid COVID-19: modeliuvannia dyskursyvnykh praktyk (na prykladi donoriv plazmy krovi) [COVID-19 vaccination discourse: modeling discourse practices (on the example of blood plasma donors)]. Habitus, 2021, vol. 29, pp. 16-21. DOI: 10.32843/2663-5208.2021.29.2.
Rahimi, I., Chen, F., Gandomi, A. H. A review on COVID-19 forecasting models. Neural Computing and Applications, 2021.
Wagner, C. E., Saad-Roy, C. M., Grenfell, B. T Modelling vaccination strategies for COVID-19. Nature Reviews Immunology, 2022, vol. 22, pp. 139-141. DOI: 10.1038/s41577-022-00687-3.
Qu, J., Sumali, B., Lee, H., Terai, H., Ishii, M., Fukunaga, K., Mitsukura, Y., Nishimura, T. Finding of the factors affecting the severity of COVID-19 based on mathematical models. Scientific Reports, 2021, vol. 11, 24224. DOI: 10.1038/s41598-021-03632-x.
Oraby, T., Tyshenko, M. G., Maldonado, J. C., Vatcheva, K., Elsaadany, S., Alali, W. Q., Longenecker, J. C., Al-Zoughool, M. Modeling the effect of lockdown timing as a COVID-19 control measure in countries with differing social contacts. Scientific Reports, 2021, vol. 11, article id 3354. DOI: 10.1038/s41598-021-82873-2.
Selvarajan, S., Anandaradje, A., Shivabasappa, S., Sadanandan, D. M., Nair, N. S., George, M. Efficacy of pharmacological interventions in COVID-19: a network meta-analysis. British Journal of Clinical Pharmacology, 2022. DOI: 10.1111/bcp.15338.
Visscher, A. D. The COVID-19 pandemic: model-based evaluation of non-pharmaceutical interven-tions and prognoses. Nonlinear Dynamics, 2020, vol. 101, iss. 3, pp. 1871-1887.
Joint statement from UNICEF, UNFPA, and WHO. Stop attacks on health care in Ukraine. Available at: https://www.who.int/news/item/13-03-2022-stop-attacks-on-health-care-in-ukraine (accessed 25.05.2022).
Matiashova, L., Isayeva, G., Shanker, A., Tsagkaris, C., Aborode, A. T., Essar, M. Y., Ahmad, S. COVID-19 vaccination in Ukraine: an update on the status of vaccination and the challenges at hand. Journal of Medical Virology, 2021, vol. 93, iss. 9, pp. 5252-5253. DOI: 10.1002/jmv.27091.
Patel, S., Moncayo, O., Conroy, K., Jordan, D., Ericson, T. The landscape of disinformation on health crisis communication during the COVID-19 pandemic in Ukraine: hybrid warfare tactics, fake media news and review of evidence. Journal of Science Communication, 2020, vol. 19, iss. 5, article id A02. DOI: 10.22323/2.19050202.
Kaim, A., Siman-Tov, M., Jaffe, E., Adini, B. Effect of a concise educational program on COVID-19 vaccination attitudes. Frontiers in Public Health, 2021, vol. 9, article id 767447. DOI: 10.3389/fpubh.2021.767447.
DOI: https://doi.org/10.32620/reks.2022.3.02
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