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To Procrastinate or Not to Procrastinate: A Retrospective Study of the Optimal Timing of Containing the Global Spread of the COVID-19 Pandemic

机译:为了拖延或不拖延:回顾性研究,对含有Covid-19流行病的全球传播的最佳时间

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As global public health is under threat by the 2019-nCoV and a potential new wave of large-scale epidemic outbreak and spread is looming, an imminent question to ask is what the optimal strategy of epidemic prevention and control (P&C) measures would be, especially in terms of the timing of enforcing aggressive policy response so as to maximize health efficacy and to contain pandemic spread. Based on the current global pandemic statistic data, here we developed a logistic probability function configured SEIR model to analyse the COVID-19 outbreak and estimate its transmission pattern under different “anticipate- or delay-to-activate” policy response scenarios in containing the pandemic. We found that the potential positive effects of stringent pandemic P&C measures would be almost canceled out in case of significantly delayed action, whereas a partially procrastinatory wait-and-see control policy may still be able to contribute to containing the degree of epidemic spread although its effectiveness may be significantly compromised compared to a scenario of early intervention coupled with stringent P&C measures. A laissez-faire policy adopted by the government and health authority to tackling the uncertainly of COVID19-type pandemic development during the early stage of the outbreak turns out to be a high risk strategy from optimal control perspective, as significant damages would be produced as a consequence.
机译:随着全球公共卫生受到2019年 - NCOV的威胁和潜在的大规模流行病爆发和传播的潜在新的潮流,迫在眉睫的问题是询问的迫在眉睫的问题是疫情预防和控制(P&C)措施的最佳策略是什么,特别是在执行侵略性政策响应的时间方面,以最大限度地提高健康效能和含有大流行蔓延的方面。基于当前的全球大流行统计数据,在这里,我们开发了一个物流概率函数配置了SEIR模型,以分析Covid-19爆发并在包含大流行中的不同“预期或延迟 - 或延迟激活”的政策响应方案下的传输模式。我们发现,如果有明显延误的行动,严格大流行病措施的潜在积极影响将几乎取消,而部分拖延的观望控制政策仍可能够促进含有流行病程度的程度与具有严格P&C措施的早期干预的情景相比,有效性可能会被显着损害。政府和卫生机构通过了应对Covid19型大流行发展的不确定的Laissez-Faire政策在爆发的早期阶段,从最佳控制角度来看,成为一个高风险战略,因为将制作重大损害作为一个结果。

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