Comparing the Change in R0 for the COVID-19 Pandemic in Eight Countries Using an SIR Model for Specific Periods

COVID Pub Date : 2024-07-01 DOI:10.3390/covid4070065
Tak Ching Leung
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Abstract

The reproduction number, R0, is an important parameter in epidemic models. It is interpreted as the average number of new cases resulted from each infected individual during the course of infection. In this paper, the R0 estimates since the outbreak of COVID-19 till 10 August 2020 for eight countries were computed using the package R{eSIR}. The computed values were examined and compared with the daily R0 estimates obtained by a static SIR model by aligning the days of infection, assuming a fixed number of days for the infected person to become confirmed/recover/die. The results showed that running R{eSIR} to obtain R0 estimates provided an easy mean of exploring epidemic data. Care must be taken in the interpretation of R0 as a measure of severity of the spread of an epidemic. Other factors, such as imported cases, need to be considered.
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使用 SIR 模型比较八个国家特定时期 COVID-19 大流行的 R0 变化情况
繁殖数 R0 是流行病模型中的一个重要参数。它被解释为在感染过程中每个受感染个体产生的新病例的平均数量。本文使用 R{eSIR} 软件包计算了八个国家自 COVID-19 爆发至 2020 年 8 月 10 日的 R0 估计值。在假定感染者确诊/康复/死亡的天数固定的情况下,通过调整感染天数,将计算值与静态 SIR 模型获得的每日 R0 估计值进行了检验和比较。结果表明,运行 R{eSIR} 获得 R0 估计值是探索流行病数据的一种简便方法。在解释 R0 作为流行病传播严重程度的衡量标准时必须谨慎。还需要考虑其他因素,如输入病例。
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