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Creation of a forecasting information system in epidemiology based on mathematical modeling

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Bibliographic Details
Title: Creation of a forecasting information system in epidemiology based on mathematical modeling
Authors: Aliya Takuadina, Aliya Kintonova, Nurlan Tabriz, Anna Knaus, Natalya Demidchik
Publisher Information: Zenodo
Publication Year: 2021
Collection: Zenodo
Subject Terms: forecasting information system, statistical data processing software, mathematical methods for forecasting, technology in medicine, mathematical analysis of epidemiological indicators
Description: 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.
Document Type: article in journal/newspaper
Language: unknown
Relation: https://zenodo.org/records/4719590; oai:zenodo.org:4719590; https://doi.org/10.5281/zenodo.4719590
DOI: 10.5281/zenodo.4719590
Availability: https://doi.org/10.5281/zenodo.4719590
https://zenodo.org/records/4719590
Accession Number: edsbas.E9F0B26
Database: BASE
Description
Abstract: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.
DOI:10.5281/zenodo.4719590