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Effective Immune Functions of Micronutrients against SARS-CoV-2.微量营养素对 SARS-CoV-2 的有效免疫功能。
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A global-scale ecological niche model to predict SARS-CoV-2 coronavirus infection rate.一种用于预测SARS-CoV-2冠状病毒感染率的全球尺度生态位模型。
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跨地区来看:大多数新冠死亡病例的年龄是高于还是低于预期寿命?

Across regions: Are most COVID-19 deaths above or below life expectancy?

作者信息

Malik Rondy J

机构信息

PhD, Department of Ecology and Evolutionary Biology, and Kansas Biological Survey, The University of Kansas, Lawrence, KS, U.S.A. 66044.

出版信息

Germs. 2021 Mar 15;11(1):59-65. doi: 10.18683/germs.2021.1241. eCollection 2021 Mar.

DOI:10.18683/germs.2021.1241
PMID:33898342
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8057856/
Abstract

INTRODUCTION

Life expectancy varies across geographical and political landscapes for a multitude of reasons. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus responsible for the 2020 coronavirus disease (COVID-19) and pandemic, is present in 215 countries, and is described as a pathogen that is most deadly to individuals 65 years and older. However, it is unclear if the majority of COVID-19-related deaths are targeting individuals above or below life expectancy.

METHODS

Through seven months of the 2020 COVID-19 pandemic, an association between life expectancy and COVID-19 related deaths was assessed. The reported age of those suffering from COVID-19-related deaths was evaluated across eight countries (United States, Germany, Italy, Hungary, Poland, South Africa, Sweden, and Switzerland), and placed into binary categories depending on whether or not the death occurred above or below the country's life expectancy.

RESULTS

Given this dataset, it was observed that there was a greater proportion of COVID related deaths above life expectancy (M=64.58%, SD=6.46) as opposed to below life expectancy (M=35.41%, SD=6.46), as these differences were significant (95%CI [18.518, 42.881], p<0.001). In contrast, an insignificant trend was observed when examining the relationship between deaths above life expectancy and Gini index (Pearson correlation coefficient r= -0.62, n=8, p=0.09). The disparity, or percent difference in death occurring above versus below life expectancy was greatest in the countries with life expectancies of 80+ (Sweden, Switzerland, Germany).

CONCLUSIONS

Considering life expectancy may be an appropriate approach for reporting COVID-19-related deaths, as well as planning responses to localized COVID-19 outbreaks, prioritizing drug treatment, and assessing ICU capacity.

摘要

引言

由于多种原因,预期寿命在不同的地理和政治区域存在差异。严重急性呼吸综合征冠状病毒2(SARS-CoV-2)是导致2020年冠状病毒病(COVID-19)及其大流行的病毒,在215个国家均有出现,被描述为对65岁及以上人群最致命的病原体。然而,目前尚不清楚与COVID-19相关的死亡多数是针对预期寿命以上还是以下的人群。

方法

在2020年COVID-19大流行的七个月期间,评估了预期寿命与COVID-19相关死亡之间的关联。对八个国家(美国、德国、意大利、匈牙利、波兰、南非、瑞典和瑞士)报告的COVID-19相关死亡患者年龄进行了评估,并根据死亡发生时年龄高于或低于该国预期寿命分为两类。

结果

根据该数据集观察到,与预期寿命以下相比,预期寿命以上的COVID-19相关死亡比例更高(M = 64.58%,SD = 6.46),而预期寿命以下的比例为(M = 35.41%,SD = 6.46),这些差异具有统计学意义(95%CI [18.518, 42.881],p < 0.001)。相比之下,在研究预期寿命以上的死亡与基尼系数之间的关系时观察到一个不显著的趋势(皮尔逊相关系数r = -0.62,n = 8,p = 0.09)。预期寿命高于80岁的国家(瑞典、瑞士、德国)中,预期寿命以上与以下的死亡差异或百分比差异最大。

结论

考虑预期寿命可能是报告COVID-19相关死亡以及规划针对局部COVID-19疫情的应对措施、确定药物治疗优先级和评估重症监护病房容量的合适方法。