The Application of the COVID-19 Global Economic Impact Simulator in China

M. A. R. Estrada, Evangelos Koutronas
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Abstract

This paper establishes conceptual foundations for analyzing the economic dimensions of regional or global emerging and endemic infectious disease events, such as the case of Covid-19. The Covid-19 Global Economic Impact Simulator attempts to identify the Covid-19 transmission parameters and forecast its trajectories. The model introduces seven basic indicators - (i) the Covid-19 contagious spread intensity rate (S.I.), (ii) the treatment level for Covid-19 infected cases rate (T); (iii) the number of Covid-19 causalities rate (-C); (iv) the economic wear from the Covid-19 epidemic rate (-Π); (v) the Covid-19 contagious cases multiplier rate (M); (vi) the total economic leaking from the Covid-19 epidemic rate (-Ltotal); and (vii) the economic desgrowth from the Covid-19 epidemic rate (-δ2019-nCoV). Findings show that Covid-19 exhibits parallel spatial and temporal conditions with the related R.N.A. virus family but carries distinct infection signatures and magnitude of virus replication. Covid-19 ferocity can trigger a severe public health emergency in China with significant impacts on the domestic and world economies.
新冠肺炎全球经济影响模拟器在中国的应用
本文为分析区域或全球新发和地方性传染病事件(如Covid-19)的经济维度奠定了概念基础。Covid-19全球经济影响模拟器试图识别Covid-19传播参数并预测其轨迹。该模型引入了7个基本指标——(i) Covid-19传染传播强度率(si), (ii) Covid-19感染病例率的治疗水平(T);(三)2019冠状病毒病死率(c);(四)疫情对经济的影响(-Π);(五)新型冠状病毒感染病例乘数(M);(六)新冠肺炎疫情造成的经济泄漏总量(-Ltotal);(七)新冠肺炎疫情(-δ2019-nCoV)导致的经济减速。研究结果表明,新冠病毒与相关rna病毒家族具有相似的时空条件,但具有不同的感染特征和病毒复制幅度。2019冠状病毒病的凶猛可能在中国引发严重的突发公共卫生事件,对国内和世界经济产生重大影响。
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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