季节性预测乌克兰地区自杀人数的统计模型

IF 0.2 Q4 MEDICINE, GENERAL & INTERNAL
O. Chaban, Olena O Khaustova, V.O. Omelyanovich, O.O. Sukhoviy
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引用次数: 0

摘要

预防自杀的努力需要卫生机构之间有意识的协调和密切合作。它们应基于对某一特定地区这种现象普遍程度的真实情况、自杀频率动态变化的特点和高危因素,即年龄、性别、气候和社会因素的了解。这项研究的目的是试图为乌克兰的每个地区建立一个统计模型,根据时间组成部分(一年中的几个月)确定自杀完成次数的动态,并在此基础上对故意自残死亡人数指标的动态进行预测。为此,进行了绝对指标的自相关分析,构建了故意自残死亡人数指标时间序列的相关图。获得的相关图具有足够明显的特征,这使得可以将它们分为4个单独的组。为了进一步分析,我们使用了构成前两组的地区的时间序列,其特征是趋势和季节性。为了进一步分析,我们只使用区域时间序列的指数平滑模型,这些模型的Ljung-Box q统计量、决定系数、平均误差模量、均值平滑等指标都在可接受的范围内。根据所创建的时间序列模型,可以假设2021年8月至2022年9月期间,春季和大多数地区的1月份故意自残死亡人数的绝对指标将增加。相反,在秋季,自杀人数的减少是一个特征。整个区域的时间序列模型的特点不允许我们使用它们来建立预测。这些地区由两个不同的地理群体代表-乌克兰西部的一组地区和黑海的三个地区。根据时间组成部分(一年中的几个月),为乌克兰的每个地区建立了一个已完成自杀的频率动态统计模型,从而可以对故意自残造成的死亡人数动态进行年度预测。通过分析更多的数据,更长期的预测成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical model of seasonal forecasting the completed suicides number in the regions of Ukraine
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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来源期刊
Medical Perspectives-Medicni Perspektivi
Medical Perspectives-Medicni Perspektivi MEDICINE, GENERAL & INTERNAL-
CiteScore
0.40
自引率
0.00%
发文量
85
审稿时长
9 weeks
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