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Analysis of the second wave of COVID-19 in India based on SEIR model.基于SEIR模型对印度第二波新冠疫情的分析。
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根据潜伏期分布估算新型冠状病毒肺炎的基本再生数

Estimation of the basic reproduction number of COVID-19 from the incubation period distribution.

作者信息

Basnarkov Lasko, Tomovski Igor, Avram Florin

机构信息

Faculty of Computer Science and Engineering, SS Cyril and Methodius University, 1000 Skopje, Macedonia.

Macedonian Academy of Sciences and Arts, 1000 Skopje, Macedonia.

出版信息

Eur Phys J Spec Top. 2022;231(18-20):3741-3748. doi: 10.1140/epjs/s11734-022-00650-2. Epub 2022 Aug 12.

DOI:10.1140/epjs/s11734-022-00650-2
PMID:35975209
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9373897/
Abstract

The estimates of the future course of spreading of the SARS-CoV-2 virus are frequently based on Markovian models in which the duration of residence in any compartment is exponentially distributed. Accordingly, the basic reproduction number is also determined from formulae where it is related to the parameters of such models. The observations show that the start of infectivity of an individual appears nearly at the same time as the onset of symptoms, while the distribution of the incubation period is not an exponential. Therefore, we propose a method for estimation of for COVID-19 based on the empirical incubation period distribution and assumed very short infectivity period that lasts only few days around the onset of symptoms. We illustrate this venerable approach to estimate for six major European countries in the first wave of the epidemic. The calculations show that even if the infectivity starts 2 days before the onset of symptoms and stops instantly when they appear (immediate isolation), the value of is larger than that from the classical, SIR model. For more realistic cases, when only individuals with mild symptoms spread the virus for few days after onset of symptoms, the respective values are even larger. This implies that calculations of and other characteristics of spreading of COVID-19 based on the classical, Markovian approaches should be taken very cautiously.

摘要

严重急性呼吸综合征冠状病毒2(SARS-CoV-2)病毒未来传播过程的估计通常基于马尔可夫模型,其中在任何区室的停留时间呈指数分布。因此,基本再生数也由与这类模型参数相关的公式确定。观察结果表明,个体的传染性开始时间几乎与症状出现时间相同,而潜伏期的分布并非指数分布。因此,我们基于经验潜伏期分布和假设的极短传染期(仅在症状出现前后持续几天),提出了一种估计新冠病毒基本再生数的方法。我们用这种古老的方法对疫情第一波中的六个主要欧洲国家的基本再生数进行了估计。计算结果表明,即使传染性在症状出现前两天开始,并在症状出现时立即停止(即时隔离),基本再生数的值也高于经典的易感-感染-康复(SIR)模型中的值。对于更现实的情况,即只有症状轻微的个体在症状出现后几天内传播病毒,相应的值甚至更大。这意味着基于经典马尔可夫方法对新冠病毒基本再生数及其他传播特征的计算应非常谨慎。