A. V. Smirnov, E. G. Moll, N. N. Teslya Consideration of Human Factors Influence on the Process of Socially-Oriented Decisions Making During Hospitalization in an Epidemic
A. V. Smirnov, E. G. Moll, N. N. Teslya Consideration of Human Factors Influence on the Process of Socially-Oriented Decisions Making During Hospitalization in an Epidemic

When making socio-oriented decisions for the hospitalization of patients in difficult epide-miological conditions, it is necessary to take into account a large number of parameters that describe the current situation, the sources of which are the participants in the hospitalization process. However, a large number of parameters significantly complicates the model and increases the decision time. The paper presents an analysis of the significance of human factors for the decision-making process and their use to refine the information model of a cooperative game that describes the process of hospitalization. The architecture of the socially-oriented decision-making support system during hospitalization in a difficult epidemiological situation is presented, which describes the interaction of the main participants in the process and the main program blocks of the system. The results of testing the refined information model show an increase in the quality of decision-making by increasing the importance of factors influencing decision-making, as well as a greater variability of decisions by taking into account human factors.

Keywords: hospitalization, model, human factors, cooperative game, architecture.

PP. 79-94.

DOI 10.14357/20718632220308

1. Patel U. et al. Early epidemiological indicators, outcomes, and interventions of COVID-19 pandemic: A systematic review // Journal of Global Health. NLM (Medline), 2020. Vol. 10, № 2. P. 020506.
2. Walters E., Najmabadi S., Platoff E. Texas hospitals are running out of drugs, beds, ventilators and even staff | The Texas Tribune [Electronic resource]. URL: (accessed: 21.12.2020).
3. Stewart W. Dozens of ambulances filled with suspected coronavirus patients wait hours outside Moscow hospitals | Daily Mail Online [Electronic resource]. URL: (accessed: 21.12.2020).
4. Hendricks D. With hospitals full of coronavirus patients, ambulances wait hours for beds to become available [Elec-tronic resource]. URL: (accessed: 21.12.2020).
5. Yeo K.T. et al. Review of guidelines and recommenda-tions from 17 countries highlights the challenges that cli-nicians face caring for neonates born to mothers with COVID-19 // Acta Paediatrica, International Journal of Paediatrics. Blackwell Publishing Ltd, 2020. Vol. 109, № 11. P. 2192–2207.
6. Cabello I.R. et al. Impact of viral epidemic outbreaks on mental health of healthcare workers: a rapid systematic re-view // medRxiv. Cold Spring Harbor Laboratory Press, 2020. Vol. 4, № 6. P. 2020.04.02.20048892.
7. Montemurro N. The emotional impact of COVID-19: From medical staff to common people // Brain, Behavior, and Im-munity. Academic Press Inc., 2020. Vol. 87. P. 23–24.
8. Zuenko A.A., Yakovlev S. Yu., Shemyakin A.S., Oleynik Yu. A. Application of constraint programming technology for planning action in emergency situations [Primenenie tehnologii programmirovanija v ogranichenijah dlja plani-rovanija dejstvij v chrezvychajnyh situacijah] // Journal of Information Technologies and Computing Systems. Fed-eral Investigation Centre for Information and Control, 2019. № 1. P. 26–37. (In Russ.)
9. Thaddeus S., Maine D. Too far to walk: maternal mortality in context // Social science & medicine (1982). Soc Sci Med, 1994. Vol. 38, № 8. P. 1091–1110.
10. Makarov V. L., Bahtyzin A. R. Social modeling - a new computer breakthrough (agent-based models) [Socialnoe modelirovanie – novyj kompyuternyj proryv (agent-orientirovannye modeli)]. Moscow: Economis, 2013. 295 p. (In Russ.)
11. Emelyanov V.V., Yasinovsky S.I. Introduction to intelli-gent simulation modeling of complex discrete systems and processes. RDO language [Vvedenie v intellektual`noe imitacionnoe modelirovanie slozhny`x diskretny`x sistem i processov. Yazy`k RDO]. Moscow. ANVIK, 1998. 432 p.
12. Smirnov A., Moll E., Teslya N. Use of Fuzzy Coalition Games in Socially Oriented Decision Making DuringHospitalization in Pandemic [Ispol'zovanie nechetkih koa-licionnyh igr pri prinjatii social'no orientirovannyh resh-enij pri gospitalizacii v uslovijah pandemii] // Informatics and Automation. 2021. № 5 (20). C. 1090-1114. (In Russ.)
13. Roy D., Sinha K. Cognitive biases operating behind the rejection of government safety advisories during COVID19 Pandemic // Asian Journal of Psychiatry. Else-vier B.V., 2020. Vol. 51. P. 102048.
14. Garfin D.R., Silver R.C., Holman E.A. The novel corona-virus (COVID-2019) outbreak: Amplification of public health consequences by media exposure. // Health Psy-chology. American Psychological Association Inc., 2020. Vol. 39, № 5. P. 355–357.
15. Dzogang F., Lightman S., Cristianini N. Diurnal variations of psychometric indicators in twitter content // PLoS ONE. Public Library of Science, 2018. Vol. 13, № 6.
16. Wynants L. et al. Prediction models for diagnosis and prognosis of covid-19: systematic review and critical ap-praisal // BMJ. British Medical Journal Publishing Group, 2020. Vol. 369. P. 26.
17. Pappa S. et al. Prevalence of depression, anxiety, and in-somnia among healthcare workers during the COVID-19 pandemic: A systematic review and meta-analysis // Brain, behavior, and immunity. Brain Behav Immun, 2020. Vol. 88. P. 901–907.
18. American Psycriatric Assosiation. New Poll: COVID-19 Impacting Mental Well-Being: Americans Feeling Anx-ious, Especially for Loved Ones; Older Adults are Less
Anxious. // Https://Www.Psychiatry.Org/Newsroom/News-Releases/New-Poll-Covid-19- Impacting-Mental-Well-Being-Americans-Feeling-Anxious-Especially-for-Loved-Onesolder-Adults-Are-Less-Anxious. 2020.
19. Batty G.D. et al. Psychosocial factors and hospitalisations for COVID-19: Prospective cohort study based on a com-munity sample // Brain, behavior, and immunity. Brain Behav Immun, 2020. Vol. 89. P. 569–578.
20. Pervushina O.N., Fedorov A.A., Dorosheva E.A. Coping with the COVID-19 pandemic and tolerance for uncertain-ty [Perezhivanie pandemii COVID-19 i tolerantnost' k ne-opredelennosti] // Reflexio. 2020. Vol. 13, № 1. P. 5–20. (In Russ)
21. Zadvornaya O. L., Alekseev V., Borisov K. The formation and development of corporate culture of the medical or-ganizations [Formirovanie i razvitie kul'tury medicinskih organizacij]. MIR (Modernization. Innovation. Research). 2016; 7(3(27)):142-149. (In Russ.)
22. Smirnov A., Teslya N. Selecting effective action strategies for the participants in a hospitalization process with the use of a fuzzy cooperative game and a genetic algorithm [Vybor jeffektivnyh strategij dejstvij uchastnikov processa gospitalizacii s ispol'zovaniem nechetkoj kooperativnoj igry i geneticheskogo algoritma] // Information and Con-trol Systems. 2022. № 2. Pp. 42-52 (In Russ).
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