The Center for the Evaluation of Value and Risk in Health, Institute of Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA.
The Center for the Evaluation of Value and Risk in Health, Institute of Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA; Department of Medicine, Tufts University School of Medicine, Boston, MA, USA.
Value Health. 2020 Nov;23(11):1405-1408. doi: 10.1016/j.jval.2020.06.002. Epub 2020 Jul 27.
To develop a checklist that helps quantify the economic impact associated with fear of contagion and to illustrate how one might use the checklist by presenting a case study featuring China during the coronavirus disease 2019 (COVID-19) outbreak.
Based on "fearonomic effects," a qualitative framework that conceptualizes the direct and indirect economic effects caused by the fear of contagion, we created a checklist to facilitate empirical estimation. As a case study, we first identified relevant sectors affected by China's lockdown policies implemented just before the Lunar New Year (LNY) week. To quantify the immediate impact, we then estimated the projected spending levels in 2020 in the absence of COVID-19 and compared these projections with actual spending during the LNY week. Data sources used include Chinese and global websites. To characterize uncertainty, we reported upper and lower bound estimates and calculated midpoints for each range.
The COVID-19 epidemic is estimated to cost China's economy $283 billion ($196-369 billion), that is, ¥2.0 trillion renminbi (¥1.4-¥2.6 trillion), during the LNY week. Reduced restaurant and movie theater business ($106 [$103-$109] billion, 37.5% [36.4%-38.5%]) and reduced public transportation utilization ($96 [$13-$179] billion dollars, 33.9% [4.6%-63.3%]) explain most of this loss, followed by travel restrictions and the resulting loss of hotel business and tourism ($80.36 billion, 28.4%).
Our checklist can help quantify the immediate and near-term impact of COVID-19 on a country's economy. It can also help researchers and policy makers consider the broader economic and social consequences when valuing future vaccines and treatments.
开发一个有助于量化与恐惧传染相关的经济影响的清单,并通过展示一个以中国在 2019 冠状病毒病(COVID-19)爆发期间为特色的案例研究来说明如何使用该清单。
基于“恐惧经济效应”这一概念性框架,我们创建了一个清单来促进实证估计,该框架将由对传染的恐惧引起的直接和间接经济影响概念化。作为一个案例研究,我们首先确定了在农历新年(LNY)前实施的中国封锁政策影响的相关部门。为了量化直接影响,我们估算了在没有 COVID-19 的情况下 2020 年的预计支出水平,并将这些预测与 LNY 周的实际支出进行了比较。使用的数据来源包括中国和全球的网站。为了描述不确定性,我们报告了每个范围的上限和下限估计值,并计算了每个范围的中点。
估计 COVID-19 疫情在 LNY 周使中国经济损失 2830 亿美元(1960-3690 亿美元),即 20000 亿元人民币(14000-26000 亿元)。减少餐馆和电影院业务(1060 亿美元(1030-1090 亿美元),37.5%(36.4%-38.5%))和减少公共交通利用率(960 亿美元(13-179 亿美元),33.9%(4.6%-63.3%))解释了大部分损失,其次是旅行限制和由此导致的酒店业务和旅游业损失(803.6 亿美元,28.4%)。
我们的清单可以帮助量化 COVID-19 对一个国家经济的直接和近期影响。它还可以帮助研究人员和政策制定者在评估未来疫苗和治疗方法的价值时,考虑更广泛的经济和社会后果。