一些医学、社会、经济因素与新冠肺炎大流行表现的关系分析

Q4 Medicine
Viktoriia V Korolenko, Hennadii A Mokhort, Tetyana V Petrusevych, Volodymyr V Korolenko
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引用次数: 0

摘要

目的:探讨乌克兰地区新冠肺炎疫情表现与个体医疗、社会、经济指标的统计关系,为进一步开展相关研究提供依据。研究对象与方法:材料与方法:研究方法包括流行病学、医学统计学、文献学。对乌克兰卫生部公共卫生中心和乌克兰国家统计局的数据进行了统计分析。结果:结果:相关分析显示存在平均强度的直接相关(p)结论:结论:相关分析显示医学、社会、经济参数之间存在中等程度的直接相关。这些发现对于制定预测、防备和减轻大流行的战略至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of the relationship between some medical, social, economic factors and manifestations of the COVID-19 pandemic.

Objective: Aim: To investigate the statistical relationship between the manifestations of the COVID-19 pandemic and individual medical, social, economic indicators in the regions of Ukraine and to improve further research in this direction.

Patients and methods: Materials and Methods: Research methods include epidemiological, medical-statistical, bibliographic. Statistical analysis of data from the Center for Public Health of the Ministry of Health of Ukraine and the State Statistics Service of Ukraine was carried out.

Results: Results: Correlation analysis showed the presence of an average strength of direct correlation (p<0.05) between the incidence of COVID-19 and the number of retired persons; the number of doctors; the prevalence of malignant neoplasms; also, between mortality from COVID-19 and the number of retired persons; the number of doctors; the number of households; the prevalence of malignant neoplasms; gross regional product per capita; the average age of the population. The analysis also showed the presence of an average strength of inverse correlation (p<0.05) between the incidence of COVID-19 and the average age of the population; the unemployment rate; also, between COVID-19 mortality and unemployment rate; case fatality rate and the number of doctors.

Conclusion: Conclusions: Correlation analysis revealed moderate direct correlations between medical, social, economic parameters. These findings are crucial for developing strategies to predict, prepare for, and mitigate pandemics.

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来源期刊
Wiadomosci lekarskie
Wiadomosci lekarskie Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
482
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