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一个具有感染年龄和接种年龄结构的流行病模型。

An Epidemic Model with Infection Age and Vaccination Age Structure.

作者信息

Webb Glenn, Zhao Xinyue Evelyn

机构信息

Department of Mathematics, Vanderbilt University, Nashville, TN 37240, USA.

Department of Mathematics, University of Tennessee, Knoxville, TN 37996, USA.

出版信息

Infect Dis Rep. 2024 Jan 10;16(1):35-64. doi: 10.3390/idr16010004.

Abstract

A model of epidemic dynamics is developed that incorporates continuous variables for infection age and vaccination age. The model analyzes pre-symptomatic and symptomatic periods of an infected individual in terms of infection age. This property is shown to be of major importance in the severity of the epidemic, when the infectious period of an infected individual precedes the symptomatic period. The model also analyzes the efficacy of vaccination in terms of vaccination age. The immunity to infection of vaccinated individuals varies with vaccination age and is also of major significance in the severity of the epidemic. Application of the model to the 2003 SARS epidemic in Taiwan and the COVID-19 epidemic in New York provides insights into the dynamics of these diseases. It is shown that the SARS outbreak was effectively contained due to the complete overlap of infectious and symptomatic periods, allowing for the timely isolation of affected individuals. In contrast, the pre-symptomatic spread of COVID-19 in New York led to a rapid, uncontrolled epidemic. These findings underscore the critical importance of the pre-symptomatic infectious period and the vaccination strategies in influencing the dynamics of an epidemic.

摘要

建立了一个流行病动力学模型,该模型纳入了感染年龄和接种年龄的连续变量。该模型根据感染年龄分析受感染个体的症状前期和症状期。当受感染个体的传染期先于症状期时,这一特性在疫情的严重程度方面显示出至关重要的作用。该模型还根据接种年龄分析了疫苗接种的效果。接种疫苗个体的抗感染免疫力随接种年龄而变化,在疫情的严重程度方面也具有重要意义。将该模型应用于2003年台湾的非典疫情和纽约的新冠疫情,为了解这些疾病的动态变化提供了见解。结果表明,由于传染期和症状期完全重叠,非典疫情得到了有效控制,从而能够及时隔离受影响的个体。相比之下,新冠病毒在纽约的症状前期传播导致了疫情迅速失控。这些发现强调了症状前期传染期和疫苗接种策略在影响疫情动态方面的至关重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b06a/10801629/f2c9c88582a8/idr-16-00004-g001.jpg

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