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Global diversity of policy, coverage, and demand of COVID-19 vaccines: a descriptive study.全球 COVID-19 疫苗政策、覆盖范围和需求的多样性:描述性研究。
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The Determinants of the Low COVID-19 Transmission and Mortality Rates in Africa: A Cross-Country Analysis.非洲 COVID-19 传播率和死亡率低的决定因素:跨国分析。
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A comparison of 2020 health policy responses to the COVID-19 pandemic in Canada, Ireland, the United Kingdom and the United States of America.加拿大、爱尔兰、英国和美国 2020 年应对 COVID-19 大流行的卫生政策比较。
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Chronic diseases, health conditions and risk of COVID-19-related hospitalization and in-hospital mortality during the first wave of the epidemic in France: a cohort study of 66 million people.法国第一波疫情期间慢性病、健康状况与新冠病毒相关住院及院内死亡风险:一项针对6600万人的队列研究
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经合组织国家中新冠疫情病例及死亡的决定因素。

Determinants of COVID-19 cases and deaths in OECD countries.

作者信息

Tekerek Burak, Günaltay Meliha Melis, Ozler Gökcen, Turgut Meryem

机构信息

Department of Health Management, Faculty of Health Sciences, Yüksek Ihtisas University, Ankara, Turkey.

Department of Health Management, Faculty of Health Sciences, Ankara University, Ankara, Turkey.

出版信息

Z Gesundh Wiss. 2023 Jan 27:1-12. doi: 10.1007/s10389-023-01820-9.

DOI:10.1007/s10389-023-01820-9
PMID:36721741
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9880371/
Abstract

AIM

This research aims to examine the effects of variables that can affect COVID-19 deaths and cases in Organisation for Economic Co-operation and Development (OECD) countries during the years 2020 (first wave), 2021 (vaccine available), and 2022 (vaccine available and Omicron variant appeared).

MATERIAL AND METHOD

The factors that are thought to affect the case and death rates in 37 OECD countries were examined by multiple linear regression analysis using SPSS 22. The dependent variables were the COVID-19 deaths and cases per 10,000 (in 2020, 2021, and 2022); the independent variables were universal health coverage, physicians, nurses, intensive care beds, hospital beds, non-communicable diseases mortality per 100,000 people, population over 65 years of age, out-of-pocket expenditure, private expenditure, and health expenditure per capita and percent of % GDP.

RESULTS

It was determined that the non-communicable diseases mortality is the relatively important variable COVID-19 cases and deaths in 2020 and 2021. After controlling for the scores of other variables, according to the ß coefficients, a one-unit increase in the number of physicians variable increases COVID-19 cases by 1.14 units in 2022; a one-unit increase in the universal coverage variable decreases COVID-19 deaths by 0.33 units in 2022.

CONCLUSION

The results of this research provide evidence that the effects of the COVID-19 outbreak have changed between 2020, the first wave of the epidemic, 2021, when the vaccine is available, and 2022, when both the vaccine is available and the Omicron variant is seen. With the increase in vaccination in 2022, the impact of non-communicable diseases mortality on the number of COVID-19 cases has decreased.

摘要

目的

本研究旨在考察2020年(第一波疫情)、2021年(有疫苗可用)和2022年(有疫苗可用且出现奥密克戎变种)期间,经济合作与发展组织(经合组织)国家中可能影响新冠死亡病例数和感染病例数的变量的影响。

材料与方法

使用SPSS 22通过多元线性回归分析,考察37个经合组织国家中被认为会影响病例率和死亡率的因素。因变量为每万人中的新冠死亡病例数和感染病例数(2020年、2021年和2022年);自变量为全民健康覆盖、医生、护士、重症监护病床、医院病床、每10万人中的非传染性疾病死亡率、65岁以上人口、自付费用、私人支出、人均卫生支出以及占国内生产总值的百分比。

结果

确定非传染性疾病死亡率是2020年和2021年新冠感染病例数和死亡病例数的相对重要变量。在控制其他变量得分后,根据β系数,2022年医生变量数量每增加一个单位,新冠感染病例数增加1.14个单位;全民覆盖变量每增加一个单位,2022年新冠死亡病例数减少0.33个单位。

结论

本研究结果表明,在2020年疫情第一波、2021年有疫苗可用以及2022年既有疫苗可用又出现奥密克戎变种期间,新冠疫情爆发的影响发生了变化。随着2022年疫苗接种的增加,非传染性疾病死亡率对新冠感染病例数的影响有所下降。