COVID-19发病率和死亡率因素

IF 0.7 Q2 AREA STUDIES
Yuval Arbel, Chaim Fialkoff, A. Kerner, M. Kerner
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引用次数: 0

摘要

本研究基于人口密度、年龄中位数和人均医院床位三个主要危险因素,调查了全国范围内SARS-COV2病毒的发病率和死亡率范围。鉴于没有在全国范围内检查相等计量单位变化后的相对权重,我们使用具有标准化系数的经验模型。这项研究的信息来自世界卫生组织(世卫组织)数据库,该数据库涵盖162个国家,涵盖五大洲,时间为2020年1月22日至2022年1月21日。参考预计的COVID-19感染率和死亡率,在增加一个标准差后,这些自变量的影响可以排序如下:感染——1)该国人口的年龄中位数;2)每千人医院床位数;3)人口密度。死亡率——1)该国人口的年龄中位数;2)人口密度;(3)每千人医院床位数。调查结果可能对公共政策规划者有所帮助。鉴于年龄变量在2019冠状病毒病大流行背景下占主导地位,一方面,人口结构较老的国家(欧洲国家)应增加对未来大流行的资源分配。另一方面,人口较年轻的国家(非洲国家)的重点应放在较稀疏地区更好的医疗基础设施上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
COVID-19 Morbidity and Mortality Factors
This study investigates the scope of morbidity and mortality from SARS-COV2 virus at a country-wide level based on three central risk factors: population density, median age, and per capita hospital beds. Given that the relative weight following a change in equal units of measurement has not been examined on a country-wide level, we use empirical models with standardized coefficients. Information for this study was obtained from the World Health Organization (WHO) data base, which encompasses 162 countries, and spans five continents from January 22, 2020, to January 21, 2022. Referring to projected COVID-19 infection and mortality rates, and following a one standard deviation increase, the influence of these independent variables may be ranked as follows: Infection -- 1) the median age of the country's population; 2) number of hospital beds per thousand persons; 3) population density. Mortality -- 1) the median age of the country's population; 2) population density; 3) number of hospital beds per thousand persons. Findings may be of assistance to public policy planners. Given the dominance of the age variable in the context of the COVID-19 pandemic, on the one hand, the allocation of resources for future pandemics should grow in countries with older population profiles (European countries). On the other hand, the emphasis in countries with younger populations (African countries) should be on better medical infrastructure in sparser regions.
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来源期刊
Baltic Region
Baltic Region AREA STUDIES-
CiteScore
1.60
自引率
37.50%
发文量
11
审稿时长
24 weeks
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