Open AccessCreation of a Forecasting Information System in Epidemiology based on Mathematical Modeling
Author(s) -
Aliya Takuadina,
Aliya Zh. Kintonova,
Nurlan Tabriz,
Anna Knaus,
Natalya Demidchik
Publication year - 2021
Publication title -
webology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.259
H-Index - 18
ISSN - 1735-188X
DOI - 10.14704/web/v18i2/web18328
Subject(s) - mathematical model , mathematical statistics , computer science , population , operations research , management science , econometrics , data science , statistics , mathematics , engineering , environmental health , medicine
The article is devoted to the problem of using mathematical methods for forecasting the tuberculosis epidemic in Kazakhstan using the example of the Karaganda region. The introduction of the article reflects the problem of forecasting tuberculosis in Kazakhstan. The main part of the article reflects the results of the analysis of mathematical methods for forecasting and data processing technology, describes the mathematical analysis of epidemiological indicators made with the SPSS statistical program, describes the factors affecting the incidence among contact persons, and calculates the correlation coefficient. The article shows the importance of mathematical modeling and the importance of developing a specific mathematical model that describes the spread of infection among the population.