Suicidal Activity in Ukraine

Khaustova, Olena; Пінчук, Ірина; Suhoviy, O.; Romaniv, Olexandr

doi:10.1016/s0924-9338(15)30248-0

Cited by 3 publications

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“…The significance level of Ljung-Box Q-statistics was quite high for all lags in Ukraine as a whole (p≤3E-25) and for each region (p≤0.013). The only exception was the significance level for some lags of three regions -Ternopil (for 1, 2, 3, and 4 lags p≥0.16), Chernivtsi (for 1,2,3,4,13,14,15,16 and 17 lags p≥0.0.51) and Volyn (for lag 4 p=0.0.53), while for the rest of the lags of these regions this indicator was less than 0.04.…”

Section: Resultsmentioning

confidence: 85%

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Statistical model of seasonal forecasting the completed suicides number in the regions of Ukraine

et al. 2023

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Suicide prevention efforts require conscious coordination and close collaboration between health agencies. They should be based on an understanding of the true picture of the prevalence of this phenomenon in a particular area, the characteristics of the dynamics of changes in the frequency of suicides, and high-risk factors, namely age, gender, climatic and social components. The purpose of this study was an attempt to create for each region of Ukraine a statistical model of the dynamics of the frequency of completed suicides depending on the time component (months of the year) and to build on its basis a forecast of the dynamics of the indicator of the number of deaths due to intentional self-harm. For this, the autocorrelation of absolute indicators was carried out and correlograms of time series of indicators of the deaths' number due to intentional self-harm were constructed. The obtained correlograms had sufficiently pronounced features, which made it possible to structure them into 4 separate groups. For further analysis, we used the time series of the areas that made up the first two groups, characterized by a trend and seasonality. For further analysis, only models of exponential smoothing of the time series of areas were used, whose indicators of Ljung-Box Q-statistics, coefficient of determination, mean modulus of error, and smoothing of the mean were in an acceptable range. Based on the created time series model, it is possible to assume that the period from August 2021 to September 2022, will increase in the absolute indicator of the number of deaths due to intentional self-harm in the spring months and, for most regions, in January. For the autumn period, on the contrary, a decrease in the number of completed suicides is characteristic. the characteristics of the time series models for a whole group of regions did not allow us to use them to build a forecast. These regions are represented by two different geographical groups – a group of regions of Western Ukraine and three Black Sea regions. Created for each region of Ukraine, a statistical model of the frequency dynamics of the completed suicides depending on the time component (months of the year) made it possible to build an annual forecast for the number of deaths dynamics due to intentional self-harm. Longer-term forecasts are possible by analyzing more data.

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Section: Resultsmentioning

confidence: 85%

“…It should be noted that in the countries that gained independence after the collapse of the Soviet Union, this problem has been highly acute in the last quarter of a century. Thus, in Ukraine, the death rate due to completed suicides averaged (per 100,000 population) -21.2; in the Russian ; in the Republic of 3].…”

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Statistical model of seasonal forecasting the completed suicides number in the regions of Ukraine

et al. 2023

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“…In his work, M. Kyzym [61] investigated the problems of assessing the investment climate of EU countries and Ukraine, although he assessed the possibility of forming innovation-investment clusters even before the emergence of the concept of a new industrial revolution and the introduction of a climate-neutral economy. In her work, V. Khaustova [62] also assessed the possibility of introducing a more favorable investment climate in the conditions of building a sustainable economy of Ukraine using the example of electrical engineering enterprises operating in the Kharkiv region. At the same time, she did not consider the prospects of introducing a green economy as a mechanism for improving the country's investment climate.…”

Section: Resultsmentioning

confidence: 99%

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2022

Economics of Development

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Investment climate of the EU countries and Ukraine in the context of realization of “green” economy

Matyushenko¹,

Hlibko²,

Khanova³

et al. 2022

Economics of Development

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In the current context of the development of the world economy, one of the main priorities of the country’s economic development is the intensification of investment processes, because they have a positive impact on economic growth and efficient functioning of a country’s economy. The modern investment market is full of competition among countries in order to attract investment. The main indicator influencing the amount of funds raised in the country’s economy is the country’s investment climate. Also, in modern conditions the concept of “green” economy is actively promoted. Therefore, today the assessment of the investment climate of the EU countries and Ukraine in the implementation of the “green” economy is a very important and relevant issue. Finding ways to improve the investment climate in Ukraine is another topical issue. The main objective of this study is to assess the investment climate of the EU countries and Ukraine under conditions of realization of the “green” economy. The research uses general scientific methods of cognition: induction and deduction, analysis and synthesis, methods of qualitative and quantitative economic and statistical analysis, graphic method. Among the methods of economic-mathematical modelling, correlation analysis, trend analysis and correlationregression analysis were used. It was established that the study of the investment climate of the EU countries and Ukraine in the context of the implementation of the “green” economy is based on objective international ratings that have a transparent calculation methodology. These international ratings are constantly updated and cover most countries of the world. So, the proposed method makes it possible to conduct an analysis of the investment climate and the “environmental friendliness” of the country’s economy according to world indices, to determine which countries are leaders and which are outsiders according to the selected indices and indicators, to study the place of Ukraine according to these indicators, and to conduct a trend analysis, to model the degree of close relationship between indices and factors of the investment climate on the basis of correlation analysis, as well as to develop recommendations for improving the investment climate of the EU countries and Ukraine in the conditions of implementation of the “green” economy

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Suicidal Activity in Ukraine

Cited by 3 publications

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Statistical model of seasonal forecasting the completed suicides number in the regions of Ukraine

Statistical model of seasonal forecasting the completed suicides number in the regions of Ukraine

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Investment climate of the EU countries and Ukraine in the context of realization of “green” economy

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