Measuring the Economic Risk of Epidemics

Ilan Noy, Nguyen Doan, Benno Ferrarini, Donghyun Park
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引用次数: 8

Abstract

We measure the economic risk of epidemics at a geo-spatially detailed resolution. In addition to data about the epidemic hazard prediction, we use data from 2014-2019 to compute measures for exposure, vulnerability, and resilience of the local economy to the shock of an epidemic. Using a battery of proxies for these four concepts, we calculate the hazard (the zoonotic source of a possible epidemic), the principal components of exposure and vulnerability to it, and of the economy’s resilience (its ability of the recover rapidly from the shock). We find that the economic risk of epidemics is particularly high in most Africa, the Indian subcontinent, China, and Southeast Asia. These results are consistent when comparing an ad-hoc (equal) weighting algorithm for the four components of the index, with one based on an estimation algorithm using Disability-Adjusted Life Years associated with communicable diseases.
衡量流行病的经济风险
我们以地理空间的详细分辨率衡量流行病的经济风险。除了有关流行病危害预测的数据外,我们还使用2014-2019年的数据来计算当地经济在流行病冲击下的暴露度、脆弱性和复原力。使用这四个概念的一系列代理,我们计算了危害(可能的流行病的人畜共患源),暴露和脆弱性的主要成分,以及经济的弹性(其从冲击中迅速恢复的能力)。我们发现,在非洲大部分地区、印度次大陆、中国和东南亚,流行病的经济风险特别高。在比较该指数四个组成部分的特设(相等)加权算法与基于使用与传染病相关的残疾调整生命年的估计算法的算法时,这些结果是一致的。
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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