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意大利的新冠肺炎疫情:死亡率分析能否用于估算疫情持续时间?

COVID-19 in Italy: Is the Mortality Analysis a Way to Estimate How the Epidemic Lasts?

作者信息

Boselli Pietro M, Soriano Jose M

机构信息

Group of Nutritional Modelling Biology, Departament de Biosciencies, University of Milan, 20122 Milan, Italy.

Food & Health Lab, Institute of Materials Science, University of Valencia, 46980 Paterna, Spain.

出版信息

Biology (Basel). 2023 Apr 11;12(4):584. doi: 10.3390/biology12040584.

Abstract

When an epidemic breaks out, many health, economic, social, and political problems arise that require a prompt and effective solution. It would be useful to obtain all information about the virus, including epidemiological ones, as soon as possible. In a previous study of our group, the analysis of the positive-alive was proposed to estimate the epidemic duration. It was stated that every epidemic ends when the number of positive-alive (=infected-healed-dead) glides toward zero. In fact, if with the contagion everyone can enter the epidemic phenomenon, only by healing or dying can they get out of it. In this work, a different biomathematical model is proposed. A necessary condition for the epidemic to be resolved is that the mortality reaches the asymptotic value, from there, remains stable. At that time, the number of positive-alive must also be close to zero. This model seems to allow us to interpret the entire development of the epidemic and highlight its phases. It is also more appropriate than the previous one, especially when the spread of the infection is so rapid that the increase in live positives is staggering.

摘要

当疫情爆发时,会出现许多健康、经济、社会和政治问题,需要迅速有效地解决。尽快获取有关病毒的所有信息,包括流行病学信息,将是很有用的。在我们小组之前的一项研究中,有人提出对“阳性存活者”进行分析以估计疫情持续时间。有人指出,当“阳性存活者”(=感染 - 治愈 - 死亡)数量趋于零时,每一次疫情都会结束。事实上,如果每个人都能因感染而进入疫情现象,那么只有通过治愈或死亡才能摆脱它。在这项工作中,提出了一种不同的生物数学模型。疫情得到解决的一个必要条件是死亡率达到渐近值,从那时起保持稳定。在那个时候,“阳性存活者”的数量也必须接近零。这个模型似乎使我们能够解释疫情的整个发展过程并突出其各个阶段。它也比前一个模型更合适,特别是当感染传播如此迅速以至于存活阳性者的增加惊人时。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c20/10135801/52101409cc06/biology-12-00584-sch001.jpg

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