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1
Demographic science aids in understanding the spread and fatality rates of COVID-19.人口科学有助于了解 COVID-19 的传播和死亡率。
Proc Natl Acad Sci U S A. 2020 May 5;117(18):9696-9698. doi: 10.1073/pnas.2004911117. Epub 2020 Apr 16.
2
The effectiveness of quarantine of Wuhan city against the Corona Virus Disease 2019 (COVID-19): A well-mixed SEIR model analysis.武汉市对 2019 年冠状病毒病(COVID-19)的隔离措施的有效性:一个混合 SEIR 模型分析。
J Med Virol. 2020 Jul;92(7):841-848. doi: 10.1002/jmv.25827. Epub 2020 Apr 25.
3
Monitoring transmissibility and mortality of COVID-19 in Europe.监测欧洲 COVID-19 的传染性和死亡率。
Int J Infect Dis. 2020 Jun;95:311-315. doi: 10.1016/j.ijid.2020.03.050. Epub 2020 Mar 28.
4
The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study.控制策略对减少社交接触以控制中国武汉 COVID-19 疫情的效果:建模研究。
Lancet Public Health. 2020 May;5(5):e261-e270. doi: 10.1016/S2468-2667(20)30073-6. Epub 2020 Mar 25.
5
COVID-19 and Italy: what next?COVID-19 和意大利:下一步如何?
Lancet. 2020 Apr 11;395(10231):1225-1228. doi: 10.1016/S0140-6736(20)30627-9. Epub 2020 Mar 13.
6
Similarity in Case Fatality Rates (CFR) of COVID-19/SARS-COV-2 in Italy and China.意大利和中国新冠病毒(COVID-19/SARS-CoV-2)病死率的相似性
J Infect Dev Ctries. 2020 Feb 29;14(2):125-128. doi: 10.3855/jidc.12600.
7
The outbreak of COVID-19: An overview.COVID-19 疫情概述。
J Chin Med Assoc. 2020 Mar;83(3):217-220. doi: 10.1097/JCMA.0000000000000270.
8
Unique epidemiological and clinical features of the emerging 2019 novel coronavirus pneumonia (COVID-19) implicate special control measures.新型冠状病毒肺炎(COVID-19)具有独特的流行病学和临床特征,提示应采取特殊的控制措施。
J Med Virol. 2020 Jun;92(6):568-576. doi: 10.1002/jmv.25748. Epub 2020 Mar 29.
9
Covid-19: surge in cases in Italy and South Korea makes pandemic look more likely.新冠疫情:意大利和韩国病例激增使大流行看起来更有可能发生。
BMJ. 2020 Feb 25;368:m751. doi: 10.1136/bmj.m751.
10
Epidemiologic characteristics of early cases with 2019 novel coronavirus (2019-nCoV) disease in Korea.韩国 2019 年新型冠状病毒(2019-nCoV)疾病早期病例的流行病学特征。
Epidemiol Health. 2020;42:e2020007. doi: 10.4178/epih.e2020007. Epub 2020 Feb 9.

意大利 COVID-19 疫情病死率分析。

Case fatality rate analysis of Italian COVID-19 outbreak.

机构信息

Milan, Italy.

出版信息

J Med Virol. 2020 Jul;92(7):919-923. doi: 10.1002/jmv.25894. Epub 2020 Apr 27.

DOI:10.1002/jmv.25894
PMID:32297983
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7262321/
Abstract

The Italian outbreak of COVID-19 cases is a public health emergency and there is a worldwide tremendous interest in the evaluation of the Italian epidemic evolution. Indeed, from February 2020, Italy is facing an explosion of COVID-19 cases. In particular, the Italian observed case fatality rate (CFR) is much higher than the other countries. Recently, it has been hypothesized that the extensive number of intergenerational contacts-typical of Italian culture-could contribute to explain the high number of deaths observed in Italy. However, through an analysis performed for all the Italian regions, here it is shown that the deaths are localized in specific regions and that the CFRs of different Italian regions are overlapping with the rates of European countries. Moreover, through correlation analyses between CFRs and different social habits, it is shown that no positive correlation is observed between social behaviors and CFRs. In conclusion, this analysis clearly rejects the possibility that social habits and intergenerational contacts can contribute to explaining such a profound effect on the number of deaths observed in Italy during the COVID-19 outbreak and more effort should be addressed to evaluate the real amount of positive cases.

摘要

意大利 COVID-19 病例的爆发是一起公共卫生紧急事件,全世界都对评估意大利疫情的演变产生了巨大兴趣。事实上,自 2020 年 2 月以来,意大利正面临着 COVID-19 病例的爆发。特别是,意大利观察到的病死率(CFR)远高于其他国家。最近,有人假设,意大利文化中典型的代际间广泛接触,可能有助于解释意大利观察到的大量死亡人数。然而,通过对意大利所有地区的分析,本文表明,死亡病例集中在特定地区,不同意大利地区的 CFR 与欧洲国家的死亡率重叠。此外,通过对 CFR 与不同社会习惯之间的相关性分析,表明在社会行为和 CFR 之间没有观察到正相关关系。总之,该分析明确排除了社会习惯和代际接触可能有助于解释 COVID-19 爆发期间意大利观察到的死亡人数如此巨大的影响的可能性,应该更加努力地评估实际的阳性病例数量。