An Epidemic Model with Infection Age and Vaccination Age Structure

IF 3.4 Q2 INFECTIOUS DISEASES Infectious Disease Reports Pub Date : 2024-01-10 DOI:10.3390/idr16010004
Glenn Webb, Xinyue Evelyn Zhao
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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.
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具有感染年龄和接种年龄结构的流行病模型
本研究建立了一个包含感染年龄和接种年龄连续变量的流行病动态模型。该模型根据感染年龄分析了受感染个体的症状前和症状期。当感染个体的感染期早于症状期时,这一特性对疫情的严重程度具有重要意义。该模型还根据接种年龄分析了疫苗接种的有效性。接种疫苗的个体对感染的免疫力随接种年龄的变化而变化,这对疫情的严重程度也具有重要意义。将该模型应用于 2003 年台湾 SARS 疫情和纽约 COVID-19 疫情,可以深入了解这些疾病的动态。结果表明,由于感染期和症状期完全重叠,可以及时隔离受影响的个体,因此 SARS 疫情得到了有效控制。与此相反,COVID-19 在纽约无症状前的传播导致疫情迅速失控。这些发现强调了无症状前感染期和疫苗接种策略在影响疫情动态方面的至关重要性。
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来源期刊
Infectious Disease Reports
Infectious Disease Reports INFECTIOUS DISEASES-
CiteScore
5.10
自引率
0.00%
发文量
82
审稿时长
11 weeks
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