PREDICTING CASES AND DEATHS IN EUROPE FROM COVID-19 TESTS AND COUNTRY POPULATIONS

IF 2 0 ECONOMICS Annals of Financial Economics Pub Date : 2020-12-01 DOI:10.1142/S2010495220500177
David E. Allen, M. McAleer
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Abstract

The paper presents a critical analysis of the European spread of the SARS-CoV-2 virus that causes the COVID-19 disease across 48 European countries and territories, including the Monaco and Andorra principalities and Vatican City Simple cross-sectional regressions, using country populations, are able to predict quite accurately both the total number of cases and deaths, which cast doubt on measures aimed at controlling the disease via lockdowns This throws into sharp contrast the relative effectiveness of the attempts to risk manage the spread of the virus by 'flattening the curve' of the speed of transmission, and the efficacy of lockdowns in terms of the spread of the disease and death rates The algorithmic techniques, results and analysis presented in the paper should prove useful to the medical and health professions, science advisers and risk management and decision making of healthcare by state, regional and national governments in all countries in Europe © 2020 World Scientific Publishing Company
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根据COVID-19检测和国家人口预测欧洲的病例和死亡人数
本文对导致新冠肺炎疾病的SARS-CoV-2病毒在48个欧洲国家和地区的欧洲传播进行了批判性分析,包括摩纳哥和安道尔公国以及梵蒂冈城。使用国家人口的简单横截面回归能够非常准确地预测病例总数和死亡人数,这让人们对旨在通过封锁控制疾病的措施产生了怀疑。这与通过“拉平传播速度曲线”来风险管理病毒传播的相对有效性,以及封锁在疾病传播和死亡率方面的有效性形成了鲜明对比。算法技术,论文中的结果和分析应被证明对欧洲所有国家的医疗卫生专业人员、科学顾问以及国家、地区和国家政府的医疗风险管理和决策有用©2020世界科学出版公司
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.60
自引率
55.00%
发文量
30
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