从 COVID-19 流行病的确诊感染人数推断出的一个有趣参数

Chow Cl, Cheng Ch, Chow Wk
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引用次数: 0

摘要

在控制 COVID-19 爆发的过程中,每日确诊感染病例的数量有助于推断参数,从而决定采取封锁城市等应急管理行动。然而,这涉及复杂的常微分方程数学模型。需要人力和数据等资源。推导出的参数总是受到利益相关者的质疑,尤其是来自服务业和旅游业的利益相关者。现提出一个简单的参数,通过估算瞬时每日感染人数除以时间来描述感染程度。香港的每日感染数被用来说明这种方法。这不需要大规模的长期观测和数学建模或计算。关键词COVID-19;感染数;参数
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An interesting parameter deduced from confirmed infection number in COVID-19 epidemic
In controlling outbreaks of COVID-19, the number of daily confirmed infected cases is useful in deducing parameters to determine emergency management actions such as locking down the cities. However, complicated mathematical models with ordinary differential equations are involved. Resources including manpower and data accessibility are needed. The parameters deduced are always challenged by stakeholders, particularly those from servicing and tourist industry. A simple parameter is proposed to describe the extent of infection by estimating the transient daily infection number divided by the time. The daily infection number in Hong Kong is used to illustrate the approach. This will not require large-scale long-term observation and mathematical modeling or computation. Keywords: COVID-19; infection number; parameter
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