Forecasting the Intensity of the Epidemiological Situation in Teams Based on the Assessment of Socio-Physiological Risk Factors
https://doi.org/10.32686/1812-5220-2023-20-4-44-52
Abstract
The article considers automation of the identification of patients with acute respiratory viral diseases at an early stage in order to prevent the further spread of diseases in an unfavorable epidemiological situation.
Setting the task: analysis of socio-physiological risks affecting the health of a serviceman, and the development of a software complex that compares risk factors affecting the development of acute respiratory viral diseases with body temperature to prevent the spread of these diseases.
About the Authors
I. V. SvitnevRussian Federation
Zhdanovskaya str., 13, St. Petersburg, 197198
E. A. Kharitonova
Russian Federation
Universitetskaya emb., 7/9, St. Petersburg 199034
L. A. Lukyanova
Russian Federation
Universitetskaya emb., 7/9, St. Petersburg 199034
D. G. Khityaev
Russian Federation
Zhdanovskaya str., 13, St. Petersburg, 197198
M. Y. Lebedev
Russian Federation
Zhdanovskaya str., 13, St. Petersburg, 197198
K. V. Matyushenok
Russian Federation
Zhdanovskaya str., 13, St. Petersburg, 197198
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Review
For citations:
Svitnev I.V., Kharitonova E.A., Lukyanova L.A., Khityaev D.G., Lebedev M.Y., Matyushenok K.V. Forecasting the Intensity of the Epidemiological Situation in Teams Based on the Assessment of Socio-Physiological Risk Factors. Issues of Risk Analysis. 2023;20(4):44-52. (In Russ.) https://doi.org/10.32686/1812-5220-2023-20-4-44-52