预测大流行期间的有效繁殖数:COVID-19病毒预测、政府决策和经济影响

IF 1.9 3区 工程技术 Q3 MANAGEMENT
Chrysovalantis Vasilakis, Konstantinos Nikolopoulos
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引用次数: 0

摘要

摘要针对疫情期间最常用的流行病学参数COVID-19有效繁殖数Rt,通过实证方法确定了表现最佳的预测方法。此外,根据对英国最准确的预测,我们对大流行期间的超额进出口(使用世界贸易组织的数据)进行了建模,同时控制了政府决策,即封锁和疫苗接种。我们提供的经验证据表明,封锁持续的时间越长,经济成本就越大,主要是国际贸易成本。我们的研究表明,实施封锁导致英国出口下降16.55%;如果没有封锁,同期的下降幅度仅为1.57%。另一方面,快速人口接种疫苗的努力改善了经济。我们相信,我们的研究结果可以帮助决策者在未来大流行之前和期间做出更好的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forecasting the effective reproduction number during a pandemic: COVID-19 R t forecasts, governmental decisions, and economic implications
Abstract This research empirically identifies the best-performing forecasting methods for the Effective Reproduction Number Rt of COVID-19, the most used epidemiological parameter for policymaking during the pandemic. Furthermore, based on the most accurate forecasts for the United Kingdom, we model the excess exports and imports during the pandemic (using World Trade Organization data), while simultaneously controlling for governmental decisions, i.e., lockdown(s) and vaccination. We provide empirical evidence that the longer the lockdown lasts, the larger the cost to the economy is, predominantly for international trade. We show that imposing a lockdown leads to exports falling by 16.55% in the United Kingdom; without a lockdown, the respective decrease for the same period would be only 1.57%. On the other hand, efforts towards fast population vaccination improve the economy. We believe our results can help policymakers to make better decisions before and during future pandemics.
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来源期刊
IMA Journal of Management Mathematics
IMA Journal of Management Mathematics OPERATIONS RESEARCH & MANAGEMENT SCIENCE-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.70
自引率
17.60%
发文量
15
审稿时长
>12 weeks
期刊介绍: The mission of this quarterly journal is to publish mathematical research of the highest quality, impact and relevance that can be directly utilised or have demonstrable potential to be employed by managers in profit, not-for-profit, third party and governmental/public organisations to improve their practices. Thus the research must be quantitative and of the highest quality if it is to be published in the journal. Furthermore, the outcome of the research must be ultimately useful for managers. The journal also publishes novel meta-analyses of the literature, reviews of the "state-of-the art" in a manner that provides new insight, and genuine applications of mathematics to real-world problems in the form of case studies. The journal welcomes papers dealing with topics in Operational Research and Management Science, Operations Management, Decision Sciences, Transportation Science, Marketing Science, Analytics, and Financial and Risk Modelling.
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