The Population Health And The Environment Quality: Construction Of Mathematical Assessments

Ketova, Karolina

doi:10.15405/epsbs.2021.09.02.286

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…In some cases, proprietary verification and addition technologies can be used to restore missing data [16]. A database of demographic and socio-economic information for the Udmurt Republic is integrated into the information and analytical system "Modeling and forecasting indicators of socio-economic processes in the region" developed by the authors [17]. Which could be the basis for further work in this direction.…”

Section: Big Data: the Task Of Structuring Demographic Flows And Rela...mentioning

confidence: 99%

Application of mathematical methods to solving problems of digitization of population movement

Ketova,

Vavilova

2024

ITM Web Conf.

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This article is devoted to the development of algorithms and mathematical methods for digitalization of population movement. An algorithm for digitalization of demographic flows is proposed. It becomes possible at any time to obtain a complete description of both a specific person and a general characteristic of the state of the economic system in a given context (for example, age, gender, place of residence, type of settlement, level of education, level of health, level of culture). Within the framework of the problem, four tasks are identified, which the research is aimed at solving. The first task is constructing a scheme of a person's digital trace. The second task is aggregating digital traces and structuring demographic flows and related flows of human capital using Big Data technology. The next task is studying the characteristics, properties and qualities of the said flows using Data-analysis technology. The final task is analyzing and forecasting demographic and human capital flows using Data Science technology. When implementing Data Science technology, the use of mathematical methods of statistical data processing, methods of correlation and regression analysis, mathematical models, forecasting methods, artificial intelligence algorithms, including neural network models, is proposed to solve the task.

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Section: Big Data: the Task Of Structuring Demographic Flows And Rela...mentioning

confidence: 99%

Application of mathematical methods to solving problems of digitization of population movement

Ketova,

Vavilova

2024

ITM Web Conf.

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“…Это объясняется тем, что их количество превышает количество женщин в возрасте 20-27 лет. Это хорошо просматривается на демографической кривойплотности распределения женщин в УР по возрастам [23,24]. Со временем будет наблюдаться прирост количества женщин младших возрастов из фертильной области, их максимальное число придет в область фертильности через 12 лет.…”

Section: Introductionunclassified

Study of the Influence of Demographic, Socio-Economic, Medical-Biological, Environmental, Ethnic Factors on Fertility in the Udmurt Republic

Ketova,

Vavilova,

Cherepanova

2024

Soc.-ekon. upr.: teor. prakt.

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The article is devoted to the research of the influence of various factors on fertility. Demographic, socio-economic, medical and biological indicators, as well as a number of environmental and ethnic indicators are considered as factors. Numerical calculations were carried out for the socio-economic system of the Udmurt Republic for the period 2000-2022. According to the official statistical information? presented in the 27×23 data set, a correlation and regression analysis of fertility was performed. The correlation analysis was revealed that the fertility rate is most strongly influenced by the number of registered marriages, the number of children born second in the family and the number of people employed in the economy. For them, there is a close direct correlation with a correlation coefficient above 0.7. An inverse correlation was found between the birth rate and the number of children born with disabilities. Weak correlation dependence with an absolute correlation coefficient of less than 0.2 was found between fertility and such factors as the per capita income of the population, maternity capital, ethnicity, etc. Step-by-step regression analysis was shown that currently the birth rate is mainly formed due to the births of second children in the family. This is due to the imbalance between the number of women in the range of younger and older ages in the field of fertility. The second most influential factor was the number of women of fertile age. The third group of factors affecting fertility to a lesser extent includes the number of registered marriages, the number of large families (a direct relationship was revealed). An inverse relationship was found between the fertility rate and the number of people employed in the economy, as well as between the fertility rate and the number of children with disabilities born.

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The Population Health And The Environment Quality: Construction Of Mathematical Assessments

Abstract: This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 4.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cited by 2 publications

References 12 publications

Application of mathematical methods to solving problems of digitization of population movement

Application of mathematical methods to solving problems of digitization of population movement

Study of the Influence of Demographic, Socio-Economic, Medical-Biological, Environmental, Ethnic Factors on Fertility in the Udmurt Republic

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