Viktoriia V Korolenko, Hennadii A Mokhort, Tetyana V Petrusevych, Volodymyr V Korolenko
{"title":"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","authors":"Viktoriia V Korolenko, Hennadii A Mokhort, Tetyana V Petrusevych, Volodymyr V Korolenko","doi":"10.36740/WLek/205371","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>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.</p><p><strong>Patients and methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":23643,"journal":{"name":"Wiadomosci lekarskie","volume":"78 5","pages":"1065-1070"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of the relationship between some medical, social, economic factors and manifestations of the COVID-19 pandemic.\",\"authors\":\"Viktoriia V Korolenko, Hennadii A Mokhort, Tetyana V Petrusevych, Volodymyr V Korolenko\",\"doi\":\"10.36740/WLek/205371\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>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.</p><p><strong>Patients and methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":23643,\"journal\":{\"name\":\"Wiadomosci lekarskie\",\"volume\":\"78 5\",\"pages\":\"1065-1070\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Wiadomosci lekarskie\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36740/WLek/205371\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wiadomosci lekarskie","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36740/WLek/205371","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
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.