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Volume 18   Issue 2   Year 2023
Application of Mathematical Models of the Dynamics of the Epidemic Acute Respiratory Viral Infections to Increase the Efficiency of Epidemiological Surveillance

Leonenko V.N.1,2, Korzin A.I.1, Danilenko D.M.2

1ITMO University, St Petersburg, Russian Federation
2Smorodintsev Research Institute for Influenza, St Petersburg, Russian Federation

Abstract. Uncertainty in the calculations of forecasts of the spread of epidemic acute respiratory infections obtained using mathematical models, associated with data error and uncertainty in the choice of a model, as well as the lack of verification of modeling results by interdisciplinary teams including epidemiology specialists, prevent the correct prediction of the effectiveness of disease control measures. In this paper, we propose a solution to these problems by using a software package consisting of a family of epidemic models, methods for estimating the error of output data depending on the error of the initial morbidity data, as well as a graphical interface with the possibility of manual correction of the results of automatic calibration and generation of epidemic bulletins. The novelty of the presented study is the methodology for integrating epidemic models into software tools used by supervisory authorities, which allows to supplement weekly bulletins and annual epidemiological reports in semi-automatic mode with a quantitative interval estimation of the error of calculated indicators. The ultimate goal is to provide the supervisory authorities with informative and promptly obtained calculated data for decision-making in the field of infection control.



Key words: epidemiology, morbidity forecasts, acute respiratory viral infections, Baroyan-Rvachev model, Kermack-McKendrick model, software package.

Table of Contents Original Article
Math. Biol. Bioinf.
doi: 10.17537/2023.18.517
published in Russian

Abstract (rus.)
Abstract (eng.)
Full text (rus., pdf)


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