COVID -19分析:我们在哪里?

Cornelli Umberto
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引用次数: 2

摘要

背景:COVID-19是一场真正的大流行,世界上只有极少数国家受到最小程度的影响。目的:测量COVID-19死亡对49个国家(49个SC或选定国家)的影响,并将其与生态、人口、社会、经济变量、老龄化和慢性疾病联系起来。材料和方法:49个SCs是世卫组织认为在死亡记录方面可靠的SCs。有关COVID-19的数据来自约翰霍普金斯大学更新至12月5日的记录。生态、人口、社会和经济变量与CIA《2020年事实手册》一致。由最常见疾病和癌症导致的死亡从世界卫生组织的ASDRs(年龄标准化死亡率)记录中获取。年龄指数取自世界银行。相关性以“r”项(线性相关)计算。结果:49个SC约占世界人口的19%,约占世界总死亡人数的61%。各国之间的差异非常一致,死亡率从0%到每1000名居民死亡1.5%不等。与老龄化和生态、人口/社会、经济变量之间存在相关性。最常见的疾病(消化性溃疡的一部分)和癌症(膀胱癌的一部分)也是如此。结论:COVID-19似乎是一种独立的疾病,减少死亡的效率主要属于政治问题。
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 COVID -19: Where Do We Stand?
Background: The COVID-19 is a real pandemia and only very few countries in the world were minimally affected. Objective: To measure the impact of COVID-19 deaths in 49 countries (49 SC or selected countries) and correlate them with, ecological, demographical, social, economic variables, aging and chronic diseases. Material and methods: The 49 SCs are those considered by WHO reliable in term of deaths records. Data concerning COVID-19 were taken from John Hopkins records updated to December 5th. The ecological, demographical, social, economical variable were consistent with the CIA Fact Book 2020. The deaths due to the most common diseases and cancers were taken from the WHO records in term of ASDRs (Age Standardized Death Rate). The age index was taken from The World Bank. The correlations were calculate in term “r” (linear correlation). Results: The 49 SC represent about 19% of the world population accounting for about 61% of the total worldwide deaths. Very consistent differences among countries were shown, from 0% deaths up to 1.5 % deaths/1000 inhabitants. Any correlation was found with aging and ecological, demographical/social, economic variables. The same was for the most common diseases (a part of peptic ulcer) and cancers (a part of bladder cancer). Conclusion: The COVID-19 seems to be an independent disease, and the efficiency in reducing deaths belongs mainly by political issues.
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